Preprints

Author Research Area Links
Maximilian Nentwich, Stephan Bickel, Lucas C. Parra, "Intrinsic dynamics shape responses to external stimulation in the human brain", BioRxiv, August 7, 2024 Neural signals preprint
Aimar Silvan Ortubay, Lucas C. Parra, and Jens Madsen, "Real-time estimation of overt attention from dynamic features of the face using deep-learning", arXiv:2409.13084v2, September 25, 2024 Student engagement, ISC, deep learning preprint, code
Melanie Victoria Adler, Jens Madsen, James Hedberg, Richard Steinberg, and Lucas C. Parra, "Explanation videos available online can improve learning, sometimes", https://doi.org/10.35542/osf.io/jcwfq, April 19, 2024 Audio-visual perception, ISC preprint
Lucas C. Parra, Aimar Silvan, Maximilian Nentwich, Jens Madsen, Behtash Babadi, "VARX Granger Analysis: Modeling, Inference, and Applications", arXiv:2404.10834v2, Apr 18, 2024 Statistics/methodology preprint code
Gavin Hsu, Dylan J. Edwards, Leonardo G. Cohen, Lucas C. Parra, "Dose response of high-intensity tDCS on corticospinal excitability and motor learning: a preregistered study", https://doi.org/10.17605/OSF.IO/YU56P Electrical stimulation Stage 2 Registered Report Recommendation
Ivan Iotzov, Lucas C. Parra, "Pupil size and EEG speech tracking as independent measures of listening effort and speech intelligibility", doi: https://doi.org/10.1101/2023.01.31.526511 Audio-visual perception preprint
Lucas C. Parra, "Multi-set Canonical Correlation Analysis simply explained", arXiv:1802.03759, Feb 11, 2018. Machine learning preprint, matlab code

Journal Papers

Date Author Research Area Links
2024/11 Neela Zareen, Halley Yung, Walter Kaczetow, Aliya Glattstein, Ekaterina Mazalkova, Heather Alexander, Liang Chen, Lucas C. Parra, John H. Martin, "Molecular signaling predicts corticospinal axon growth state and muscle response plasticity induced by neuromodulation", Proceedings of National Academy of Science (PNAS), 121 (47) November 2024 Electric stimulation, plasticity paper
2024/10 Lukas Hirsch, Yu Huang, Hernan A. Makse, Danny F. Martinez, Mary Hughes, Sarah Eskreis-Winkler, Katja Pinker, Elizabeth A. Morris, Lucas C. Parra, Elizabeth J. Sutton, "Early Detection of Breast Cancer in MRI Using AI", Academic Radiology, October 2024 Machine Learning, Image Processing paper
2024/09 Yu Huang*, Nicholas J. Leotta*, Lukas Hirsch, Roberto Lo Gullo, Mary Hughes, Jeffrey Reiner, Nicole B. Saphier, Kelly S. Myers, Babita Panigrahi, Emily Ambinder, Philip Di Carlo, Lars J. Grimm, Dorothy Lowell, Sora Yoon, Sujata V. Ghate, Lucas C. Parra, Elizabeth J. Sutton, "Cross-site Validation of AI Segmentation and Harmonization in Breast MRI", Journal of Imaging Informatics in Medicine, September 2024 Machine Learning, Image Processing code paper
2024/05 Forouzan Farahani, Niranjan Khadka, Lucas C. Parra, Marom Bikson, Mihály Vöröslakos, "Transcranial electric stimulation modulates firing rate at clinically relevant intensities", Brain Stimulation, 17 (3): 561-571, May 2024 Transcranial electric stimulation, Computational modeling, Single-unit effectsn paper
2024/04 Jens Madsen and Lucas C. Parra, "Bidirectional brain-body interactions during natural story listening", Cell Reports 43, 114081 Auditory perception, brain-body interaction code, paper
2024/01 Osvaldo M. Velarde, Clarissa Lin, Sarah Eskreis-Winkler, Lucas C. Parra, "Robustness of Deep Networks for Mammography: Replication Across Public Datasets", Journal of Digital Imaging, January 2024 Machine Learning, Image Processing paper
2023/10 Osvaldo M. Velarde, Hernan A. Makse, Lucas C. Parra, "Architecture of the Brain’s Visual System Enhances Network Stability and Performance Through Layers, Delays, and Feedback", PLoS Comput Biol 19(11): e1011078 Machine Learning, Dynamical system code, paper
2023/08 Qawi K. Telesford, Eduardo Gonzalez-Moreira, Ting Xu, Yiwen Tian, Stanley J. Colcombe, Jessica Cloud, Brian E. Russ, Arnaud Falchier, Maximilian Nentwich, Jens Madsen, Lucas C. Parra, Charles E. Schroeder, Michael P. Milham, Alexandre R. Franco, "An open-access dataset of naturalistic viewing using simultaneous EEG-fMRI", Scientific Data, 10: 554, August 2023 EEG, naturalistic stimuli paper
2023/05 Maximilian Nentwich, Marcin Leszczynski, Brain E. Russ, Lukas Hirsch, Noah Markowitz, Kaustubh Sapru, Charles E. Schroeder, Ashesh Mehta, Stephan Bickel, Lucas C. Parra, "Semantic novelty modulates neural responses to visual change across the human brain", Nature Communications, 14: 2910, May 2023 Audio-visual perception paper
2023/04 Marcin Leszczynski, Stephan Bickel, Maximilian Nentwich, Brian E. Russ, Lucas Parra, Peter Lakatos, Ashesh Mehta, Charles E. Schroeder, "Saccadic modulation of neural excitability in auditory areas of the neocortex", Current Biology, 33: 1-11, April 2023 Audio-visual perception paper
2022/12 Gavin Hsu, A. Duke Shereen, Leonardo G. Cohen, Lucas C. Parra, "Robust enhancement of motor sequence learning with 4mA transcranial electric stimulation", Brain Stimulation, 16 (1): 56-67, January 2023 Electrical stimulation paper
2022/07 Mohigul Nasimova, Yu Huang, "Applications of open-source software ROAST in clinical studies: A review", Brain Stimulation, 15(4): 1002-1010, July 2022 Electrical stimulation paper
2022/05 Yu Huang*, Raquel Moreno*, Rachna Malani, Alicia Meng, Nathaniel Swinburne, Andrei Holodny, Ye Choi, Henry Rusinek, James Golomb, Ajax George, Lucas Parra, Robert Young, "Deep Learning Achieves Neuroradiologist-Level Performance in Detecting Hydrocephalus Requiring Treatment", Journal of Digital Imaging, 35: 1662–1672, May 2022. Machine Learning, Image Processing paper, preprint, code
2022/03 Jens Madsen, Lucas C Parra, "Cognitive processing of a common stimulus synchronizes brains, hearts, and eyes", PNAS Nexus, March 10, 2022 Audio-visual perception paper, code
2022/01 Mahima Sharma, Forouzan Farahani, Marom Bikson, Lucas C. Parra, Weak DCS causes a relatively strong cumulative boost of synaptic plasticity with spaced learning, Brain Stimulation, 5(1), 57-62, January 01, 2022 Electrical stimulation paper
2021/11 Lukas Hirsch, Yu Huang, Shaojun Luo, Carolina Rossi Saccarelli, Roberto Lo Gullo, Isaac Daimiel Naranjo, Almir G.V. Bitencourt, Natsuko Onishi, Eun Sook Ko, Dortis Leithner, Daly Avendano, Sarah Eskreis-Winkler, Mary Hughes, Danny F. Martinez, Katja Pinker, Krishna Juluru, Amin E. El-Rowmeim, Pierre Elnajjar, Elizabeth A. Morris, Hernan A. Makse, Lucas C Parra, Elizabeth J. Sutton, "Deep learning achieves radiologist-level performance of tumor segmentation in breast MRI", RSNA Radiology:Artificial Intelligence, Artificial Intelligence, 4(1), January 01, 2022. Machine Learning, Image Processing paper
2021/11 Jason J Ki, Jacek P Dmochowski, Jonathan Touryan, Lucas C Parra, "Neural responses to natural visual motion are spatially selective across the visual field, with selectivity differing across brain areas and task", Eur J Neurosci. 2021 decoding, EEG, naturalistic stimuli, visual perception paper
2021/9 Pauline Perez*, Jens Madsen*, Leah Banellis, Basak Turker, Federico Raimondo, Vincent Perlbarg, Melanie Valente, Marie-Cecile Nierat, Louis Puybasset, Lionel Naccache, Thomas Similowski, Damian Cruse, Lucas C. Parra, Jacobo D. Sitt, "Conscious processing of narrative stimuli synchronizes heart rate between individuals", Cell Reports, September 14 2021, Vol. 36, 11 Audio-visual perception, heart rate paper, code
2021/9 Atanas D Stankov, Jonathan Touryan, Stephen Gordon, Anthony J. Ries, Jason Ki, Lucas C Parra, "During natural viewing, neural processing of visual targets continues throughout saccades", Journal of Vision September 2021, Vol.21, 7 Visual perception paper, preprint
2021/6 Lukas A Hirsch, Yu Huang, Lucas C Parra, "Segmentation of MRI head anatomy using deep volumetric networks and multiple spatial priors", Journal of Medical Imaging, 8(3), 034001. June 17, 2021. Machine Learning, Image Processing paper, preprint of earlier version
2021/4 Gavin Hsu, Forouzan Farahani, Lucas C. Parra, "Cutaneous Sensation of Electrical Stimulation Waveforms", Brain Stimulation, April 10, 2021 Electrical stimulation paper
2021/3 Forouzan Farahani, Greg Kronberg, Mohamad FallahRad, Hysell V. Oviedo, Lucas C. Parra, "Effects of direct current stimulation on synaptic plasticity in a single neuron", Brain Stimulation, March 22, 2021 Electrical stimulation paper
2021/2 Jens Madsen, Sara U. Julio, Pawel J. Gucik, Richard Steinberg, and Lucas C. Parra, "Synchronized eye movements predict test scores in online video education", Proceedings of National Academy of Science (PNAS), February 2, 2021 118 (5) e2016980118 Audio-visual perception, ISC paper, videos, code
2021/1 Pierre-Olivier Gaudreault, Akarsh Sharma, Abhishek Datta, Ester Nakamura-Palacias, Sarah King, Pias Malaker, Ariella Wagner, Devarshi Vasa, Muhammad A. Parvaz, Lucas C. Parra, Nelly Alia-Klein, Rita Z. Goldstein, "A double-blind sham-controlled phase 1 clinical trial of tDCS of the dorsolateral prefrontal cortex in cocaine inpatients: craving, sleepiness, and contemplation to change", European Journal of Neuroscience, accepted, January, 2021 Electrical stimulation, tDCS paper, preprint
2020/11 Zeinab Esmaeilpour, Greg Kronberg, Davide Reato, Lucas C Parra, Marom Bikson, "Temporal interference stimulation targets deep brain regions by modulating neural oscillations", Brain Stimul., November 10, 2020 Electrical stimulation paper, preprint
2020/07 Jason J. Ki, Lucas C. Parra, Jacek P. Dmochowski, "Visually evoked responses are enhanced when engaging in a video game", Eur. J. Neurosci., July 31, 2020. decoding, EEG, naturalistic stimuli, visual perception paper, preprint of earlier version, code
2020/07 Paul DeGuzman, Anshul Jain, Matthias H. Tabert, Lucas C. Parra, "Olfaction Modulates Inter-Subject Correlation of Neural Responses", Front. Neurosci., July 10, 2020. EEG, ISC, olfaction paper
2020/05 Maximilian Nentwich, Lei Ai, Jens Madsen, Qawi K. Telesford, Stefan Haufe. Michael P. Milham, Lucas C. Parra, "Functional connectivity of EEG is subject-specific, associated with phenotype, and different from fMRI", NeuroImage, May 31, 2020. EEG paper
2020/05 Yu Huang, Abhishek Datta, Lucas C Parra, "Optimization of interferential stimulation of the human brain with electrode arrays", Journal of Neural Engineering, May 13, 2020. Electrical stimulation, transcranial paper, full-text PDF
2020/03 Mayank A Jog, Kay Jann, Lirong Yan, Yu Huang, Lucas C. Parra, Katherine Narr, Marom Bikson, Danny JJ Wang, "Concurrent imaging of markers of current flow and neurophysiological changes during tDCS", Frontiers in Neuroscience, Brain Imaging Methods, doi: 10.3389/fnins.2020.00374, March 2020. Electrical stimulation, transcranial paper
2020/03 Bertrand Hermann, Federico Raimondo, Lukas A Hirsch, Yu Huang, Melanie Denis-Valente, Pauline Perez, Denis-Alexander Engemann, Frederic Faugeras, Nicolas Weiss, Sophie Demeret, Benjamin Rohaut, Lucas C Parra, Jacobo D Sitt, Lionel Naccache, "Combined behavioral and electrophysiological evidence for a direct cortical effect of prefrontal tDCS on disorders of consciousness", Scientific Reports, 10: 4323, March 2020. Electrical stimulation, transcranial paper
2019/10 Greg Kronberg, Asif Rahman, Mahima Sharma, Marom Bikson, Lucas C. Parra, "Direct current stimulation boosts Hebbian plasticity in vitro", Brain Stimulation, October, 2019. Electrical stimulation, mechanisms paper, preprint
2019/10 Simon Henin, Helen Borges, Anita Shankar, Cansu Sarac, Lucia Melloni, Daniel Friedman, Adeen Flinker, Lucas C. Parra, Gyorgy Buzsaki, Orrin Devinsky, Anli Liu, "Closed-Loop Acoustic Stimulation Enhances Sleep Oscillations But Not Memory Performance", eNeuro, October, 2019. Electrical stimulation, sleep, memory paper
2019/5 Yu Huang, Abhishek Datta, Marom Bikson, Lucas C. Parra, "Realistic vOlumetric-Approach to Simulate Transcranial Electric Stimulation -- ROAST -- a fully automated open-source pipeline", Journal of Neural Engineering, May, 2019. Electrical stimulation, transcranial paper, software
2019/4 Ofer Tchernichovski, Lucas C. Parra, Daniel Fimiarz, Arnon Lotem, and Dalton Conley, "Crowd wisdom enhanced by costly signaling in a virtual rating system", Proceedings of the National Academy of Sciences, 116 (15): 7256-7265, April 9, 2019. Signaling theory paper, commentary
2019/2 Ivan Iotzov & Lucas C. Parra, "EEG can predict speech intelligibility", Journal of Neural Engineering 16(3) 36008, February 2019. Speech perception, EEG analysis , paper, preprint
2019/3 Jens Madsen, Elizabeth Hellmuth Margulis, Rhimmon Simchy-Gross, Lucas C. Parra, "Music synchronizes brainwaves across listeners with strong effects of repetition, familiarity and training", Scientific Reports, 9:3576, March, 2019. Music perception, EEG analysis paper, Video
2019/2 Carles Igual, Jorge Igual, Janne M. Hahne, Lucas C. Parra, "Adaptive auto-regressive proportional myoelectric control", IEEE Transactions on Neural Systems and Rehabilitation Engineering. 27 (2): 314-322, February, 2019. Prosthetic control, EMG final pdf
2019/1 Lucas C. Parra, Stefan Haufe, Jacek P. Dmochowski, "Correlated Components Analysis --- Extracting Reliable Dimensions in Multivariate Data", Neurons, Behavior, Data Analysis and Theory (NBDT). 2(1), Jan 29, 2019. Machine learning paper, code & data
2018/11 Anli Liu, Mihaly Voroslakos, Greg Kronberg, Simon Henin, Matthew R. Krause, Yu Huang, Alexander Opitz, Ashesh Mehta, Christopher C. Pack, Bart Krekelberg, Antal Berenyi, Lucas C. Parra, Lucia Melloni, Orrin Devinsky, Gyorgy Buzsaki, "Immediate neurophysiological effects of transcranial electrical stimulation", Nature Communications 9 (1). Nov, 2018. Electrical stimulation, transcranial paper
2019/02 Alain de Cheveigne, Giovanni M. Di Liberto, Dorothee Arzounian, Daniel D.E. Wong, Jens Hjortkjaer, Soren Fuglsang, Lucas C. Parra, "Multiway Canonical Correlation Analysis of Brain Signals", NeuroImage, Volume 186, pp. 728-740, February 2019 Machine learning paywalled paper, preprint
2018/11 Samantha S Cohen*, Jens Madsen*, Gad Touchan, Denise Robles, Stella F. A. Lima, Simon Henin, Lucas C. Parra, Neural engagement with online educational videos predicts learning performance for individual students, Neurobiology of Learning and Memory, Volume 155, pp. 60-64, November 2018. Audio-visual perception, EEG analysis paper
2019/1 Nigel Gebodh, Zeinab Esmaeilpour, Devin Adair, Kenneth Chelette, Jacek Dmochowski, Adam J. Woods, Emily S. Kappenman, Lucas C. Parra, Marom Bikson, Inherent physiological artifacts in EEG during tDCS, NeuroImage, Volume 185. pp. 408-424. January 15, 2019. EEG analysis paper
2019/1 Yu Huang, Lucas C. Parra, "Can transcranial electric stimulation with multiple electrodes reach deep targets?", Brain Stimulation, 12 (1): 30-40, January–February 2019. Electrical stimulation, transcranial paywalled paper, same as free preprint
2018/6 Stefan Haufe, Paul DeGuzman, Simon Henin, Michael Arcaro, Christopher J. Honey, Uri Hasson, Lucas C. Parra, Elucidating relations between fMRI, ECoG and EEG through a common natural stimulus, NeuroImage, 179, 79-91. June 2018. fRMI, ECoG, EEG PDF (manuscript)
2018/5 Gino Del Ferraro, Andrea Moreno, Byungjoon Min, Flaviano Morone, Ursula Perez-Ramirez, Laura Perez-Cervera, Lucas Parra, Andrei Holodny, Santiago Canals, and Hernan Makse, Finding influential nodes for integration in brain networks using optimal percolation theory, Nature Communications, 9(1). May 2018. Brain Networks Full Text, Editors' Picks, CCNY Press Release
2018/1 Agustin Petroni*, Samantha S. Cohen*, Lei Ai, Nicolas Langer, Simon Henin, Tamara Vanderwal, Michael P Milham, and Lucas C Parra, The Variability of Neural Responses to Naturalistic Videos Change with Age and Sex, eNeuro, 5(1). January 2018. Audio-visual perception, EEG analysis Full Text
2017/12 Marom Bikson, Andre R. Brunoni, Leigh E. Charvet, Vincent P. Clark, Leonardo G. Cohen, Zhi-De Deng, Jacek Dmochowski, Dylan J. Edwards, Flavio Frohlich, Emily S. Kappenman, Kelvin O. Lim, Colleen Loo, Antonio Mantovani, David P. McMullen, Lucas C. Parra, Michele Pearson, Jessica D. Richardson, Judith M. Rumsey, Pejman Sehatpour, David Sommers, Gozde Unal, Eric M. Wassermann, Adam J. Woods, Sarah H. Lisanby, Rigor and reproducibility in research with transcranial electrical stimulation: An NIMH-sponsored workshop, Brain Stimulation, 11(3), 465-480. December 2017. Electrical stimulation Full Text
2017/12 Lindsay M. Alexander, Jasmine Escalera, Lei Ai, Charissa Andreotti, Karina Febre, Alexander Mangone, Natan Vega-Potler, Nicolas Langer, Alexis Alexander, Meagan Kovacs, Shannon Litke, Bridget O'Hagan, Jennifer Andersen, Batya Bronstein, Anastasia Bui, Marijayne Bushey, Henry Butler, Victoria Castagna, Nicolas Camacho, Elisha Chan, Danielle Citera, Jon Clucas, Samantha Cohen, Sarah Dufek, Megan Eaves, Brian Fradera, Judith Gardner, Natalie Grant-Villegas, Gabriella Green, Camille Gregory, Emily Hart, Shana Harris, Megan Horton, Danielle Kahn, Katherine Kabotyanski, Bernard Karmel, Simon P. Kelly, Kayla Kleinman, Bonhwang Koo, Eliza Kramer, Elizabeth Lennon, Catherine Lord, Ginny Mantello, Amy Margolis, Kathleen R. Merikangas, Judith Milham, Giuseppe Minniti, Rebecca Neuhaus, Alexandra Levine, Yael Osman, Lucas C. Parra, Ken R. Pugh, Amy Racanello, Anita Restrepo, Tian Saltzman, Batya Septimus, Russell Tobe, Rachel Waltz, Anna Williams, Anna Yeo, Francisco X. Castellanos, Arno Klein, Tomas Paus, Bennett L. Leventhal, R. Cameron Craddock, Harold S. Koplewicz & Michael P. Milham, An open resource for transdiagnostic research in pediatric mental health and learning disorders, Scientific Data, 4: 170181 (2017) Medical imaging Full text
2017/10 Belen Lafon, Simon Henin, Yu Huang, Daniel Friedman, Lucia Melloni, Thomas Thesen, Werner Doyle, György Buzsáki, Orrin Devinsky, Lucas C. Parra & Anli A. Liu, Low frequency transcranial electrical stimulation does not entrain sleep rhythms measured by human intracranial recordings, Nature Communications, 8: 1199 (2017) Electrical stimulation, transcranial Full text
2017/7 Ivan Iotzov*, Brian C Fidali*, Agustin Petroni, Mary M Conte, Nicholas D Schiff, Lucas C Parra, Divergent neural responses to narrative speech in disorders of consciousness, Annals of Clinical and Translational Neurology:2328-9503, July 20, 2017 Audio-visual perception, EEG analysis Full text
2017/8 Jacek P. Dmochowski, Laurent Koessler, Anthony M. Norcia, Marom Bikson, Lucas C. Parra, Optimal use of EEG recordings to target active brain areas with transcranial electrical stimulation, Neuroimage, 157: 69-80, August 2017 Audio-visual perception, EEG Full article
Code: I=inv(R*R')*V (simple!)
Data for leadfield R
2018/10 Jacek P. Dmochowski, Jason Ki, Paul DeGuzman, Paul Sajda, Lucas C. Parra, Extracting multidimensional stimulus-response correlations using hybrid encoding-decoding of neural activity, Neuroimage, Volume 180, Part A: 134-146, October 2018. Audio-visual perception, EEG analysis Full article, code and demo data
2017/7 Samantha S. Cohen, Simon Henin, Lucas C. Parra, Engaging narratives evoke similar neural activity and lead to similar time perception, Scientific Reports, 6:4578, July 2017. Audio-visual perception, EEG Full text
2017/4 Asif Rahman, Belen Lafon, Lucas C. Parra, Marom Bikson, Direct current stimulation boosts synaptic gain and cooperativity in vitro, Journal of Physiology, 595(11): pp 3535\E2\80?547, April 2017. Electrical stimulation, mechanisms Full text, PDF
2017/2 David O'Connor, Natan Vega Potler, Meagan Kovacs, Ting Xu, Lei Ai, John Pellman, Tamara Vanderwal, Lucas Parra, Samantha Cohen, Satrajit Ghosh, Jasmine Escalera, Natalie Grant-Villegas, Yael Osman, Anastasia Bui, Richard Cameron Craddock, and Michael Peter Milham, The Healthy Brain Network Serial Scanning Initiative: A resource for evaluating inter-individual differences and their reliabilities across scan conditions and sessions, Gigascience, 6(2):1-14, February 2017. Audio-visual perception, fMRI analysis Full text
2017/2 Nicolas Langer, Erica Ho, Lindsay Alexander, Helen Xu, Renee Jozanovic, Simon Henin, Agustin Petroni, Samantha Cohen, Enitan Marcelle, Lucas Parra, Michael Milham, and Simon Kelly, A Resource for Assessing Information Processing in the Developing Brain Using EEG and Eye Tracking, Scientific Data, 170040, February 2017. Audio-visual perception, EEG analysis Full text PDF
2017/2 Andreas Trier Poulsen, Simon Kamronn, Jacek Dmochowski, Lucas C. Parra, Lars Kai Hansen, "EEG in the classroom: Synchronised neural recordings during video presentation." Scientific Reports, 7, February, 2017. Audio-visual perception, EEG analysis pdf
2017/2 Yu Huang*, Anli A. Liu*, Belen Lafon, Daniel Friedman, Michael Dayan, Xiuyuan Wang, Marom Bikson, Werner K. Doyle, Orrin Devinsky, Lucas C. Parra, Measurements and models of electric fields in the in vivo human brain during transcranial electric stimulation, eLife, 6, e18834, February 2017. Electrical stimulation, transcranial Full Text, Video, An Insight Article, Talk, Data
2017/1 Kate Burleson-Lesser, Flavionoa Morone, Paul deGuzman, Lucas C. Parra, Hernan A. Makse, Collective Behaviour in Video Viewing: A Thermodynamic Analysis of Gaze Position, PloS one, 12(1), e0168995, January 2017. Audio-visual perception, eye tracking Full text, Code and data
2017/1 Greg Kronberg, Morgan Bridi, Ted Abel, Marom Bikson, Lucas C. Parra, Direct Current Stimulation Modulates LTP and LTD: Activity Dependence and Dendritic Effects, Brain Stimulation, 10(1): 51-58, January-February 2017. Electrical stimulation, mechanisms PDF
2017/1 Belen Lafon, Aasif Rahman, Marom Bikson, Lucas C. Parra, Direct Current Stimulation Alters Neuronal Input/Output Function, Brain Stimulation, 10(1): 36-45, January-February 2017 Electrical stimulation, mechanisms PDF, Full text
2016/11 Samantha S. Cohen, Lucas C. Parra, Memorable audiovisual narratives synchronize sensory and supramodal neural responses, eNeuro, 3(6), November 2016. Audio-visual perception, EEG analysis Full text, ISC code, Stimuli
2016/11 Mark P. Jackson, Asif Rahman, Belen Lafon, Gregory Kronberg, Doris Ling, Lucas C. Parra, Marom Bikson, Animal models of transcranial direct current stimulation: Methods and mechanisms, Clinical Neurophysiology, 127: 3425-3454, 2016. Electrical stimulation, mechanisms PDF
2016/11 Simon Henin, Dovid Fine, Eric Smouha, Lucas C. Parra, The effects of compensatory auditory stimulation and high-definition transcranial direct current stimulation (HD-tDCS) on tinnitus perception - a randomized pilot study, PloOne, 0166208, November 10, 2016. Electrical stimulation, transcranial clinical Full text
2016/10 Mayank V Jog, Robert Smith, Kay Jann, Walter Dunn, Belen Lafon, Dennis Truong, Allan Wu, Lucas Parra, Marom Bikson, Danny J.J. Wang, In-vivo Imaging of Magnetic Fields Induced by Transcranial Direct Current Stimulation (tDCS) in Human Brain using MRI, Scientific Reports, 2, 34385, October, 2016. Electrical stimulation, transcranial, fMRI full text
2016/09 Bhaskar Paneri, Devin Adair, Chris Thomas, Niranjan Khadka, Vaishali Patel, William J Tyler, Lucas Parra, Marom Bikson, Tolerability of Repeated Application of Transcranial Electrical Stimulation with Limited Outputs to Healthy Subjects, Brain Stimulation, 9(5), 740-754, September-October 2016. Electrical stimulation, mechanisms PDF
2016/09 Eathan Janney, Hollis Taylor, David Rothenberg, Constance Scharff, Lucas C Parra Ofer Tchernichovski, Temporal regularity increases with repertoire complexity in the Australian pied butcherbird's song, Royal Society Open Science, 3(9), 160357, September 14, 2016 Bird song PDF
2016/03 Jason Ki, Simon Kelly, Lucas C. Parra, "Attention strongly modulates reliability of neural responses to naturalistic narrative stimuli." Journal of Neuroscience, 36 (10), 3092-3101. March 2016. Audio-visual perception, EEG analysis PDF, ISC code,
2016/10 Yu Huang, Lucas C. Parra, Stefan Haufe, "The New York Head - A precise standardized volume conductor model for EEG source localization and tES targeting", NeuroImage, 140: 150-162, October 2016 Electrical stimulation, modeling PDF model data
2016/01 Laura Castillo Saavedra, Nigel Gebodh, Marom Bikson, Dennis Truong, Camilo Diaz-Cruz, Rivail Brandao, Livia Coutinho, Abhishek Datta, Revital Shani-Hershkovich, Michal Weiss, Ilan Laufer, Amit Reches, Ziv Peremen, Amir Geva, Lucas C. Parra, Felipe Fregni, Clinically effective treatment of fibromyalgia pain with HD-tDCS - Phase II open-label dose-optimization, Journal of Pain, 17 (1): 14-26, January 2016. Electrical stimulation, transcranial clinical abstract,PDF
2015/05 Yu Huang, Lucas C. Parra, Fully automated whole-head segmentation with improved smoothness and continuity, with theory reviewed, PLoS One, 10(5):e0125477, May 2015. Electrical stimulation, modeling PDF code
2015/05 Natasha M. Senco, Yu Huang, Giordano D'Urso, Lucas C. Parra, Marom Bikson, Antonio Mantovani, Roseli G. Shavitt, Marcelo Q. Hoexter, Euripedes C. Miguel, Andre R. Brunoni, TDCS in Obsessive Compulsive Disorder: Emerging Clinical Evidence and Considerations for Optimal Montage of Electrodes, Expert Review of Medical Devices, 1-11, May 2015. Electrical stimulation, transcranial clinical full text
2015/05 Ole Seibt, Andre R. Brunoni, Yu Huang, Marom Bikson, The pursuit of DLPFC: Non-neuronavigated methods to target the left dorsolateral prefrontal cortex with symmetric bicephalic transcranial Direct Current Stimulation (tDCS), Brain Stimulation, vol. 8, issue 3, 2015, pp. 590\E2\80?02 Electrical stimulation, transcranial clinical full text
2015/07 Janne M. Hahne, Sven Dahne, Han-Jeong Hwang, Klaus-Robert Muller, Lucas C. Parra, Concurrent Adaptation of Human and Machine Improves Simultaneous and Proportional Myoelectric Control, IEEE Transactions on Neural Systems & Rehabilitation Engineering, 23(4):618-27 July, 2015. Prosthetic control, EMG PDF
2015/03 Davide Reato, Marom Bikson, Lucas C. Parra, Lasting modulation of in-vitro oscillatory activity with weak direct current stimulation, Journal of Neurophysiology, 113(5): 1334-1341, March 2015. Electrical stimulation, mechanisms Full text
2015/06 Martin Graziano, Lucas C. Parra, and Mariano Sigman, Neural Correlates of Perceived Confidence in a Partial Report Paradigm, Journal of Cognitive neuroscience, 27(6):1090-103, June 2015. Visual Perception, EEG analysis abstract
2015/03 Lacey EH, Jiang X, Friedman RB, Snider SF, Parra LC, Huang Y, Turkeltaub PE, Transcranial direct current stimulation for pure alexia: effects on brain and behavior, Brain Stimulation, 8 (2): 305-30, March 2015 Electrical stimulation, transcranial clinical abstract
2015/01 Jessica Richardson, Abhishek Datta, Jacek Dmochowski, Lucas C. Parra, Julius Fridriksson, Feasibility of using high-definition transcranial direct current stimulation (HD-tDCS) to enhance treatment outcomes in persons with aphasia, NeuroRehabilitation, 36: 115-126, 2015 Electrical stimulation, transcranial clinical PDF
2014/07 Jacek P. Dmochowski, Matthew A. Bezdek, Brian P. Abelson, John S. Johnson, Eric H. Schumacher, Lucas C. Parra, Audience preferences are predicted by temporal reliability of neural processing, Nature Communications 5: 4567, July 2014. Audio-visual perception, EEG analysis full text, press release, code
2014/06 Alain de Cheveigne, Lucas C Parra, Joint decorrelation, a versatile tool for multichannel data analysis, NeuroImage, 98: 487-505, June 2014 EEG analysis PDF
2014/08 Dennis Q. Truong, Mathias Hueber, Xihe Xie, Abhishek Datta, Asif Rahman, Lucas C. Parra, Jacek Dmochowski, Marom Bikson, "Clinician accessible tools for GUI computational models of transcranial electrical stimulation: BONSAI and SPHERES", Brain Stimulation, 7(4):521-524, Aug 2014 Electrical stimulation, transcranial modeling software
2014/08 Sonja Binder, K Berg, Fernando Gasca, Belen Lafon, Lucas C Parra, Jan Born, Lisa Marshall, "Transcranial slow oscillation stimulation during sleep enhances memory consolidation in rats", Brain Stimulation, 7(4):508-15, Aug 2014. Electrical stimulation, mechanisms abstract
2014/06 Daniel Rosenthal, Paul DeGuzman, Lucas C Parra, Paul Sajda, "Neural evoked responses to events in video", IEEE Journal of Selected Topics in Signal Processing, 8(3), June 2014. EEG analysis PDF
2014/03 Janne M Hahne, Felix Biessmann, Ning Jiang, Hubertus Rehbaum, Dario Farina, Frank C Meinecke, Klaus-Robert Muller, Lucas C Parra, "Linear and non-linear regression techniques for simultaneous and proportional myoelectric control", IEEE Transaction in Neural Systems and Rehabilitation Engineering, 22(2):269-79, March 2014. Prosthetic control, EMG PDF
2014/02 Rene Kempe, Yu Huang, Lucas C. Parra, "Simulating pad-electrodes with high-definition arrays in transcranial electric stimulation", Journal of Neural Engineering, 11(2): 026003, Feb 2014. Electrical stimulation, modeling PDF
2013/11 Joao Dias, Jacek P. Dmochowski, Paul Sajda, Lucas C. Parra, "EEG precursors of detected and missed targets during free-viewing search", Journal of Vision, 13(13):13, November, 2013. Visual perception, EEG analysis PDF
2013/10 Davide Reato, Asif Rahman, Marom Bikson, Lucas C Parra, "Effects of weak transcranial alternating current stimulation on brain activity - a review of known mechanisms from animal studies", Frontiers in Human Neuroscience, 7: 687, October, 2013. Electrical stimulation, mechanisms PDF
2013/10 Yu Huang, Jacek P. Dmochowski, Yuzhuo Su, Abhishek Datta, Christopher Rorden, Lucas C. Parra, "Automated MRI Segmentation for Individualized Modeling of Current Flow in the Human Head", Journal of Neural Engineering, 10(6):066004, October 2013. Electrical stimulation, modeling PDF, code
2013/05 Lev Muchnik*, Sen Pei*, Lucas C. Parra*, Saulo D. S. Reis, Jose S. Andrade Jr., Shlomo Havlin, Hernan A. Makse, "Origins of power-law degree distribution in the heterogeneity of human activity in social networks", Scientific Reports, 3: 1783, May 2013.
* contributed equally 		Machine learning, causal inference PDF
2013/05 Abhishek Datta, Xiang Zhou, Yuzhou Su, Lucas C. Parra, Marom Bikson, "Validation of finite element model of transcranial electrical stimulation using scalp potentials: implications for clinical dose", Journal of Neural Engineering, 10(3):036018, May 2013. Electrical stimulation, modeling validation PDF
2013/05 Asif Rahman, Davide Reato, Mattia Arlotti, Fernando Gasca, Abhishek Datta, Lucas C. Parra, and Marom Bikson, "Cellular Effects of Acute Direct Current Stimulation: Somatic and Synaptic Terminal Effects", Journal of Physiology, 591(10): 2563-2578, May 2013 Electrical stimulation, mechanisms Full text
2013/03 Jacek P. Dmochowski, Abhishek Datta, Yu Huang, Jessica Richardson, Marom Bikson, Julius Fridriksson, Lucas C. Parra, "Targeted Transcranial Direct Current Stimulation for Rehabilitation after Stroke", Neuroimage, 75C: 12-19, March 2013. Electrical stimulation, transcranial clinical PDF
2013/02 Davide Reato, Fernando Gasca, Abhishek Datta, Marom Bikson, Lisa Marshall, Lucas C. Parra, "Transcranial electrical stimulation accelerates human sleep homeostasis," PLOS Computational Biology, 9(2): e1002898, February 2013. Electrical stimulation, transcranial mechanisms Full text
2013/01 Justin K Rice, Christopher Rorden, Jessica S. Little, Lucas C. Parra, "Subject Position Affects EEG Magnitudes," Neuroimage, 64: 476-484, Jan 2013 EEG PDF, Press
2014/01 Andrea Antal, Marom Bikson, Abhishek Datta, Belen Lafon, Peter Dechent, Lucas C. Parra*, Walter Paulus*, "Imaging artifacts induced by electrical stimulation during conventional fMRI of the brain", Neuroimage, 10. 85: 1040-1047, Jan 2014. *contributed equally. Electrical stimulation, transcranial, fMRI PDF
2012/10 Abhishek Datta, Dennis Troung, Preet Minhas, Lucas C. Parra, Marom Bikson, "Inter-individual variation during transcranial Direct Current Stimulation and normalization of dose using MRI-derived computational models", Frontiers in Psychiatry, 3:91, October 2012. Electrical stimulation, transcranial modeling PDF
2012/ Davide Reato, Mario Cammarota, Lucas C. Parra, Giorgio Carmignoto, "Computational model of neuron-astrocyte interactions during focal seizure generation", Frontiers in Computational Neuroscience, 6:81, 2012. Glia, computational modeling PDF
2012/09 Jacek P. Dmochowski, Marom Bikson, Lucas C. Parra, "The point spread function of the human head and its implications for transcranial current stimulation," Physics in Medicine and Biology, 57:1-19, Sep 2012. Electrical stimulation, transcranial modeling PDF,free software
2012/04 Jacek P. Dmochowski, Paul Sajda, Joao Dias, Lucas C. Parra, "Correlated components of ongoing EEG point to emotionally laden attention - a possible marker of engagement?" Frontiers of Human Neuroscience, 6:112, April 2012. Audio-visual perception, EEG, eye movement analysis Full article PDF video Reuters TV
code
2012/03 Primoz Ravbar, Dina Lipkind, Lucas C. Parra, Ofer Tchernichovski, "Vocal Exploration Is Locally Regulated during Song Learning," Journal of Neuroscience, 32(10):3422-3432, March 2012. Bird song PDF
2011/08 Jacek P. Dmochowski, Abhishek Datta, Marom Bikson, Yuzhuo Su, and Lucas C. Parra, "Optimized Multi-Electrode Stimulation Increases Focality and Intensity at Target", Journal of Neural Engineering, 8(4), August 2011. Electrical stimulation, transcranial modeling PDF, Full text
2011/07 Xiang Zhou, Simon Henin, Glenis Long, Lucas C. Parra, "Impaired Cochlear Function Correlates with the Presence of Tinnitus and its Estimated Spectral Profile", Hearing Research, 277(1-2): 107-116, July 2011. Auditory perception, tinnitus PDF
2011/10 Jacek P. Dmochowski, Paul Sajda, Lucas C. Parra, "Maximum Likelihood in Cost-Sensitive Learning: Model Specification, Approximations, and Upper Bounds", Journal of Machine Learning Research, 11: 3313-3332, 2010. Machine learning, classification PDF, examples and matlab code
2010/11 Davide Reato, Asif Rahman, Marom Bikson, Lucas C. Parra, "Low-intensity electrical stimulation affects network dynamics by modulating population rate and spike timing", Journal of Neuroscience, 30(45):15067-15079, November 2010. Electrical stimulation, mechanisms PDF
2010/02 Xiang Zhou, Simon Henin, Suzanne Thompson, Glenis Long, Lucas C. Parra, "Sensitization to masked tones following notched-noise priming correlates with estimates of cochlear function using distortion product otoacoustic emissions", Journal of the Acoustical Society of America, 127(2):970-976. February 2010. Auditory preception PDF
2010/03 Paul Sajda, Lucas C. Parra, Christoforos Christoforou, Barbara Hanna, Claus Bahlmann, Jun Wang, Eric Pohlmeyer, Jacek Dmochowski, Shih-Fu Chang, "In a blink of an eye and a switch of a transistor: Cortically-coupled computer vision", Proceedings of the IEEE, 98(3): 462-478, March 2010. Brain Computer Interface PDF
2010/02 Christoforos Christofou, Robert Haralik, Paul Sajda, Lucas C. Parra, "Second Order Bilinear Discriminant Analysis," Journal of Machine Learning Research, 11:665-685, Feb 2010. Machine learning, classification PDF
2009/11 Paul Sajda, Marios G. Philiastides, Lucas C. Parra, "Single-trial Analysis of Neuroimaging Data: Inferring Neural Networks Underlying Perceptual, Decision Making in the Human," IEEE Reviews In Biomedical Engineering, vol. 2, pp. 97-109, 2009. EEG single-trial analysis PDF
2010/01 Kristen K. Maul, Henning U. Voss, Lucas C. Parra, Delanthi Salgado-Commissariat, Douglas Ballon, Ofer Tchernichovski, Santosh A. Helekar, "The development of stimulus-specific auditory responses requires song exposure in male but not female zebra finches," Developmental Neurobiology, 70(1): 28-40, January 2010. Bird song PDF,journal cover
2009/11 Lucas C. Parra, Jeffrey M. Beck, Anthony J. Bell, "On the maximization of information flow between spiking neurons," Neural Computations, vol. 21, no. 11, pp. 2991-3009, November, 2009. Machine learning, blind source separation PDF
2009/03 Wei Ji Ma, Xiang Zhou, Lars A. Ross, John J. Foxe, Lucas C. Parra, "Lip-reading aids word recognition most in moderate noise: a Bayesian explanation using high-dimensional feature space," PLoS ONE, 4 (3) e4639, March 4, 2009. Audio-visual perception, speech PDF, supplementary material, sample stimuli, press release
2008/04 Yuzhuo Su, Thomas Radman, Jake Vaynshteyn, Lucas C. Parra, Marom Bikson, "Effects of high-frequency stimulation on epileptiform activity in vitro: ON/OFF control paradigm," Epilepsia, vol. 49, no. 9, pp. 1586 - 1593, April 2008. Electrical stimulation, mechanisms PDF
2008/11 Yuzhuo Su, Sunitha Thakur, Karimi Sasan, Shuyan Du, Paul Sajda, Wei Huang, Lucas C. Parra, "Spectrum Separation Resolves Partial Volume Effect of MRSI as Demonstrated on Brain Tumor," NMR in Biomedicine, Vol. 21, No. 1, pp. 1030-1042, November 2008. Medical imaging, MRSI PDF
2008/01 Lucas C. Parra, Christoforos Christoforou, Adam D. Gerson, Mads Dyrholm, An Luo, Mark Wagner, Marios G. Philiastides, Paul Sajda, "Spatio-temporal linear decoding of brain state: Application to performance augmentation in high-throughput tasks", IEEE Signal Processing Magazine, vol. 25, no. 1, pp. 95-115, January 2008. Brain Computer Interface PDF
2007/03 Thomas Radman, Yuzhuo Su, Je Hi An, Lucas C. Parra, Marom Bikson, "Spike timing amplifies the effect of electric fields on neurons: implications for endogenous field-effects", Journal of Neuroscience, vol. 27, no. 11, pp. 3030-3036, March 2007. Electrical stimulation, mechanisms PDF
2007/05 Mads Dyrholm, Christoforos Christoforou, Lucas C. Parra, "Bilinear Discriminant Component Analysis", Journal of Machine Learning Research, vol. 8, pp. 1097-1111, May 2007. Machine Learning, classification PDF, matlab code and tutorial.
2007/03 Lucas C. Parra, Barak A. Pearlmutter, "Illusory percepts from auditory adaptation", Journal of the Acoustical Society of America, vol. 121, no. 3, pp. 1632-1641, March 2007. Auditory perception, tinnitus PDF, examples and matlab code
2006/06 Adam D. Gerson, Lucas C. Parra, Paul Sajda, "Cortically-coupled Computer Vision for Rapid Image Search", IEEE Transactions on Neural Systems & Rehabilitation Engineering, vol. 14, no. 2, pp. 174-179, June 2006. Brain Computer Interface PDF
2006/06 Lucas C. Parra, "Steerable Frequency-Invariant Beamforming for Arbitrary Arrays", Journal of the Acoustical Society of America, 119 (6), pp. 3839-3847, June 2006. Acoustic arrays, beamforming PDF matlab code
2006/02 Clay D. Spence, Lucas C. Parra, Paul Sajda, "Varying Complexity in Tree-Structured Image Distribution Models", IEEE Transactions on Image Processing, vol. 5, no. 2, pp. 319-330, February 2006. Machine learning, probability estimation PDF
2005/11 Lucas C. Parra, Clay D. Spence, Adam D. Gerson, Paul Sajda, "Recipes for the Linear Analysis of EEG", Neuroimage, vol. 28, no. 2, pp. 326-341, November 2005. EEG single-trial analysis PDF matlab code
2005/11 Adam D. Gerson, Lucas C. Parra, Paul Sajda, "Cortical Origins of Response Time Variability During Rapid Discrimination of Visual Objects", Neuroimage, vol. 28, no. 2, pp. 342-353, November 2005. EEG single-trial analysis PDF matlab code
2004/12 Paul Sajda, Shuyan Du, Truman R. Brown, Radka Stoyanova, Dikoma C. Shungu, Xiangling Mao, Lucas C. Parra, "Nonnegative Matrix Factorization for Rapid Recovery of Constituent Spectra in Magnetic Resonance Chemical Shift Imaging of the Brain", IEEE Transaction on Medical Imaging, vol. 23, no. 12, December 2004. Medical Imaging, MRSI PDF
2003/06 Lucas Parra, Chris Alvino, Akaysha Tang, Barak Pearlmutter, Nick Yeung, Allen Osman, Paul Sajda, "Single-Trial Detection in EEG and MEG: Keeping it Linear", Neurocomputing, vol. 52-54, June 2003, pp. 177-183, 2003. EEG single-trial analysis PDF
2003/06 Lucas Parra, Clay Spence, Adam Gerson and Paul Sajda, "Response Error Correction - A Demonstration of Improved Human-Machine Performance Using Real-Time EEG Monitoring", IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 11, no. 2, pp. 173 -177, June 2003. Brain Computer Interface PDF
2003/06 Paul Sajda, Adam Gerson, Klaus-Robert Muller, Benjamin Blankertz, Lucas Parra, "A data analysis competition to evaluate machine learning algorithms for use in brain-computer interfaces", IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 11, no. 2, pp. 184-185, June 2003. Brain Computer Interface
2003/06 Paul Sajda, Clay Spence, Lucas Parra, "A multi-scale probabilistic network model for detection, synthesis and compression in mammographic image analysis", Medical Image Analysis, vol. 7, no. 2, pp. 187-204, June 2003. Medical imaging, diagnosis algorithm PDF
2003/12 Lucas Parra, Paul Sajda, "Blind Source Separation via Generalized Eigenvalue Decomposition", Journal of Machine Learning Research, vol. 4, pp. 1261-1269, Dec 2003. Machine learning, blind source separation PDF matlab code
2002/09 Lucas Parra, Christopher Alvino, ``Geometric Source Separation: Merging convolutive source separation with geometric beamforming'', IEEE Transaction on Speech and Audio Processing, vol. 10, no. 6, pp. 352-362, Sept. 2002 Acoustic arrays, blind sourse separation PDF
2002/09 Lucas Parra, Chris Alvino, Akaysha Tang, Barak Pearlmutter, Nick Yeung, Allen Osman, Paul Sajda, ``Linear Spatial Integration for Single-Trial Detection in Encephalography'', NeuroImage, vol. 17, no. 1, pp. 223-230, Sep 2002 EEG single-trial analysis PDF
2002/05 Lucas Parra, Clay Spence, "Convolutive blind source separation of non-stationary sources", IEEE Trans. on Speech and Audio Processing pp. 320-327, May 2000. Acoustic arrays, blind source separation PDF US Patent US6167417 audio demonstrations matlab code by Stefan Harmeling real-room recordings
2000/08 Lucas Parra, "Reconstruction of cone-beam projections from Compton scattered data", IEEE Transactions on Nuclear Science, vol. 47., no. 4, part II, pp. 1543 -1550, August 2000. Medical imaging, image reconstruction PDF
2000/08 Lucas Parra, Clay Spence, "On-line convolutive source separation of non-stationary signals", Journal of VLSI Signal Processing, vol. 26, no. 1/2, pp. 39-46, August 2000. Acoustic arrays, blind source separation PDF
1998/04 Lucas Parra, Harrison Barrett, "List-Mode Likelihood: EM Algorithm and Image Quality Estimation Demonstrated on 2-D PET", IEEE Transaction in Medical Imaging, Vol. 17, No. 2, pp. 228-235, April 1998. Medical imaging, image reconstruction PDF
1997/11 Harrison Barrett, Timothy White, Lucas Parra, "List-Mode Likelihood", J. Opt. Soc. Am., 14 (11), pp. 2914-2923, Nov 1997. Medical imaging, image reconstruction PDF
1997/06 Gustavo Deco, Lucas Parra: "Nonlinear Features Extraction by Redundancy Reduction in an Unsupervised Stochastic Neural Networks", Neural Networks, 10(4), 683-691, June 1997. Machine learning, blind source separation
1996/02 Lucas Parra, Gustavo Deco, Sebastian Miesbach: "Statistical independence and Novelty Detection with Information Preserving Nonlinear Maps", Neural Computation, Vol 8, 260-269, Feb 1996 Machine learning, blind source separation PDF
1995/01 Lucas Parra, Gustavo Deco, Sebastian Miesbach: "Redundancy Reduction with Information Preserving Nonlinear Maps", Network, Vol. 1, No. 1, 61-72, Jan 1995. Machine learning, blind source separation
1995/12 Lucas Parra, Gustavo Deco: "Continuous Boltzmann Machine with Rotor Neurons", Neural Networks, Vol. 8, No 3, 375-385, Dec 1995. Machine learning, probability estimation PDF
1995/01 Gustavo Deco, Lucas Parra, "Unsupervised Learning for Boltzmann Machines", Network, 6(3): 437-448, Jan 1995. Machine learning, probability estimation PDF

Abstracts and others

  1. Oumaima Benali, Forouzan Farahani, Lucas C. Parra, and John H. Martin, No evidence for synaptogenesis due to tDCS during reach training in rats, 2024 NYC Neuromodulation Conference, New York, NY, August 1-3, 2024. (poster)
  2. Gavin Hsu, Zhenous Hadi Jafari, Abdelrahman Ahmed, Dylan Edwards, Leonardo G. Cohen, and Lucas C. Parra, Dose-response of tDCS effects on motor learning and cortical excitability: a preregistered study, 2024 NYC Neuromodulation Conference, New York, NY, August 1-3, 2024. (poster)
  3. Melanie Victoria Adler, Jens Madsen, James Hedberg, Richard Steinberg, and Lucas C. Parra, Explanation videos available online can improve learning, sometimes, International Mind, Brain and Education Society 2024 Conference, Leuven, Belgium, July 10-12, 2024. (poster)
  4. Lukas Hirsch, Andy Huang, Liz J. Sutton, Lucas C. Parra, Segmentation - Diagnosis - Risk Prediction of Breast Cancer in MRI, 10th International Breast Density and Cancer Risk Assessment Workshop, Kailua-Kona, Hawaii, June 2023. (poster)
  5. Huang, Y., Hirsch, L., et al., Cross-site Validation of Deep-Learning Method for Segmenting Breast Cancers on MRI, The New Wave of AI in Healthcare conference, New York, NY, May 2023. (poster)
  6. Gavin Hsu, Dylan J. Edwards, Leonardo G. Cohen, Lucas C. Parra, Dose response of high-intensity transcranial electric stimulation on cortical excitability and motor learning, 46th Annual Meeting of the Japan Neuroscience Society, Sendai, Japan, August 1-4, 2023 (poster)
  7. Jens Madsen, Storytelling makes hearts (and brains) beat as one, 2022 joint meeting of Neuroergonomics and NYC Neuromodulation Conferences, New York, USA, July 29-31, 2022 (invited talk)
  8. Gavin Hsu, A. Duke Shereen, Lucas C. Parra, Effective Modulation of Motor Learning with tDCS at 4mA, 2022 joint meeting of Neuroergonomics and NYC Neuromodulation Conferences, New York, USA, July 29-31, 2022 (poster)
  9. Maximilian Nentwich, Marcin Leszczynski, Brian E. Russ, Lukas Hirsch, Noah Markowitz, Kaustubh Sapru, Charles E. Schroeder, Ashesh Mehta, Stephan Bickel, Lucas C Parra, Semantic novelty modulates neural responses to visual change across the human brain, 2022 joint meeting of Neuroergonomics and NYC Neuromodulation Conferences, New York, USA, July 29-31, 2022 (poster)
  10. Jens Madsen, Maximilian Nentwich, Lucas C. Parra, How to measure and improve attention in remote video-based learning, International Mind, Brain and Education Society Conference 2022, Montreal, Canada, July 21-23, 2022. (Poster - received best poster award)
  11. Jens Madsen and Lucas C. Parra, Synchronization of pupil size during auditory narratives predicts memory, (poster presentation), Federation of European Neuroscience Societies (FENS) Forum, Paris, France, July 9-13, 2022 (poster)
  12. Gavin Hsu, A. Duke Shereen, Lucas C. Parra, Modulation of Motor Sequence Learning with tDCS at 4mA, Federation of European Neuroscience Societies (FENS) Forum, Paris, France, July 9-13, 2022 (poster)
  13. Maximilian Nentwich, Marcin Leszczynski, Brian E. Russ, Lukas Hirsch, Noah Markowitz, Kaustubh Sapru, Charles E. Schroeder, Ashesh Mehta, Stephan Bickel, Lucas C Parra, Visual and semantic novelty in movies drive prominent rapid neural responses in human , Federation of European Neuroscience Societies (FENS) Forum, Paris, France, July 9-13, 2022 (poster)
  14. Jens Madsen, Cognitive Processing of a Common Stimulus Synchronizes Hearts, Brains and Eyes, The Cognitive Neuroscience Society (CNS) 29th Annual Meeting, San Francisco, USA, April 23-26, 2022 (talk and poster)
  15. Maximilian Nentwich, Marcin Leszczynski, Brian E. Russ, Lukas Hirsch, Noah Markowitz, Kaustubh Sapru, Charles E. Schroeder, Ashesh Mehta, Stephan Bickel, Lucas C Parra, Visual and Semantic Novelty in Naturalistic Movies Drive Prominent Rapid Neural Responses in Humans, Northeast Bioengineering Conference, New York, NY, April, 2022 (talk)
  16. Maximilian Nentwich, Marcin Leszczynski, Brian E. Russ, Lukas Hirsch, Noah Markowitz, Kaustubh Sapru, Charles E. Schroeder, Ashesh Mehta, Stephan Bickel, Lucas C Parra, Visual and semantic change in videos drives rapid neural responses in human, Neuromatch Conference 4.0, Virtual Event, December, 2021 (flash talk)
  17. Gavin Hsu, A. Duke Shereen, Lucas C. Parra, Modulation of motor sequence learning through targeted transcranial direct current stimulation, SfN Global Connectome, Virtual Event, January 11-13, 2021 (poster)
  18. Maximilian Nentwich, Marcin Leszczynski, Brian E. Russ, Lukas Hirsch, Noah Markowitz, Kaustubh Sapru, Charles E. Schroeder, Ashesh Mehta, Stephan Bickel, Lucas C Parra, Neural responses to scene cuts in movies reflect semantic processing in higher order cortical lobes, SfN Global Connectome, Virtual Event, January 11-13, 2021 (poster)
  19. Maximilian Nentwich, Lei Ai, Jens Madsen, Qawi K. Telesford, Stefan Haufe, Michael P. Milham, Lucas C. Parra, Functional connectivity of EEG is subject-specific, associated with phenotype, and different from fMRI, Bernstein Conference, Online, September 2020. (poster)
  20. Maximilian Nentwich, Lei Ai, Jens Madsen, Qawi K. Telesford, Stefan Haufe, Michael P. Milham, Lucas C. Parra, Functional connectivity of EEG is subject-specific, associated with phenotype, and different from fMRI, Organization for Human Brain Mapping Annual Meeting, Online, June 2020. (poster)
  21. Jens Madsen, Samantha S. Cohen, Sara Uldry Julio, Pawel Gucik, Richard Steinberg, Lucas C. Parra, Students watching educational videos with high inter-subject correlation obtain high test scores, SfN Neuroscience 2019, Chicago, October 2019. (poster)
  22. Zeinab Esmaeilpour, Gregory Kronberg, Lucas C. Parra, Marom Bikson, Amplitude-modulated high-frequency electric field stimulation of gamma oscillations in vitro, SfN Neuroscience 2019, Chicago, October 2019. (poster)
  23. Marcin Leszczynski, Stephan Bickel, Brian E. Russ, Maximilian Nentwich, Idan Tal, Lucas C. Parra, Ashesh D. Mehta, Charles E. Schroeder, Fixation related neural dynamics during free viewing of static and dynamic images changes with the pattern of exploration, SfN Neuroscience 2019, Chicago, October 2019. (poster)
  24. Pierre-Olivier Gaudreault, Abhishek Datta, Pias Malaker, Ariella Wagner, Muhammad A. Parvaz, Ester Nakamura-Palacios, Lucas C. Parra, Nelly Alia-Klein, Rita Z. Goldstein, Portable transcranial direct current stimulation (tDCS) to reduce craving in cocaine addiction: A double-blind sham-controlled phase 1 clinical trial, SfN Neuroscience 2019, Chicago, October 2019. (poster)
  25. link Yu Huang, Jacek P. Dmochowski, Lucas C. Parra, ROAST-target: An open-source software tool for targeting transcranial electric stimulation, The 2019 Joint Meeting of Neuromodulation: the Science & NYC Neuromodulation, Napa, California, October 2019 (poster)
  26. link Yu Huang, Abhishek Datta, Lucas C. Parra, Optimized interferential electric fields for noninvasive deep focal brain stimulation, The 2019 Joint Meeting of Neuromodulation: the Science & NYC Neuromodulation, Napa, California, October 2019 (poster & talk)
  27. Ivan Iotzov, Lucas C. Parra, Using EEG to Predict Speech Intelligibility, Conference on Cognitive Computational Neuroscience, Berlin, Germany, September 13\9616, 2019. (poster)
  28. Maximilian Nentwich, Lei Ai, Jens Madsen, Qawi K. Telesford, Stefan Haufe, Michael P. Milham, Lucas C. Parra, Functional connectivity of EEG is subject-specific, associated with phenotype, and different from fMRI, 5th BRAIN Initiative Investigators Meeting, Washington, DC, April 2019. (poster)
  29. Yu Huang, Lucas C. Parra, Deep brain areas can be reached by transcranial electric stimulation with multiple electrodes, The 9th Annual Translational and Molecular Imaging Institute Symposium, New York, NY, April 2019. (poster)
  30. Yu Huang, Lucas C. Parra, Deep brain areas can be reached by transcranial electric stimulation with multiple electrodes, The 3rd International Brain Stimulation Conference, Vancouver, BC, Canada, February 2019. (talk)
  31. Yu Huang, Abhishek Datta, Marom Bikson, Lucas C. Parra, ROAST: a fully-automated, open-source, Realistic vOlumetric-Approach-based Simulator for TES, The 3rd International Brain Stimulation Conference, Vancouver, BC, Canada, February 2019. (talk)
  32. Greg Kronberg, Asif Rahman, Marom Bikson, Lucas C. Parra, tDCS boosts Hebb: Explaining the sensitivity and selectivity of tDCS, NYC Neuromodulation and NANS Summer Series, New York, NY, August 2018. (talk)
  33. Greg Kronberg, Asif Rahman, Marom Bikson, Lucas C. Parra, A Hebbian Framework for Predicting Modulation of Synaptic Plasticity with tDCS, NYC Neuromodulation and NANS Summer Series, New York, NY, August 2018. (poster)
  34. Greg Kronberg, Asif Rahman, Marom Bikson, Lucas C. Parra, A Hebbian Framework for Predicting Modulation of Synaptic Plasticity with tDCS, Society for Neuroscience, San Diego, CA, November 2018. (poster)
  35. link Yu Huang, Abhishek Datta, Marom Bikson, Lucas C. Parra, Realistic vOlumetric-Approach to Simulate Transcranial Electric Stimulation \E2\80?ROAST \E2\80?a fully automated open-source pipeline, The 21st International Conference on Biomagnetism, Philadelphia, PA, August 2018. (talk)
  36. link Jimmy Jiang, Dennis Q. Truong, Yu Huang, Lucas C. Parra, Marom Bikson, Transcranial electrical stimulation models using an emulated-CSF value approximate the meninges more accurately, Joint Meeting of NYC Neuromodulation Conference and NANS Summer Series, New York, NY, August 2018. (poster)
  37. link Chris Thomas, Yu Huang, Abhishek Datta, Influence of model extent in forward simulations of tDCS: towards standardizing model extent, Joint Meeting of NYC Neuromodulation Conference and NANS Summer Series, New York, NY, August 2018. (poster)
  38. link Yu Huang, Chris Thomas, Abhishek Datta, Lucas C. Parra, Inaccurate segmentation of lesioned brains can significantly affect targeted transcranial electrical stimulation on stroke patients, Joint Meeting of NYC Neuromodulation Conference and NANS Summer Series, New York, NY, August 2018. (poster)
  39. link Yu Huang, Lucas C. Parra, Transcranial electric stimulation with multiple electrodes can reach deep brain areas, Joint Meeting of NYC Neuromodulation Conference and NANS Summer Series, New York, NY, August 2018. (poster & talk)
  40. link Abhishek Datta, Chris Thomas, Yu Huang, Ganesan Venkatasubramanian, " Exploration of the effect of race on cortical current flow due to Transcranial Direct Current Stimulation: Comparison across Caucasian, Chinese, and Indian standard brains", The 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Honolulu, HI, July 2018. (poster)
  41. link Yu Huang, Chris Thomas, Abhishek Datta, Lucas C. Parra, "Optimized tDCS for Targeting Multiple Brain Regions: An Integrated Implementation", The 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Honolulu, HI, July 2018. (talk)
  42. link Yu Huang, Abhishek Datta, Marom Bikson, Lucas C. Parra, "ROAST: an open-source, fully-automated, Realistic vOlumetric-Approach-based Simulator for TES", The 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Honolulu, HI, July 2018. (talk)
  43. link Yu Huang, Abhishek Datta, Marom Bikson, Lucas C. Parra, ROAST, a free, fully-automated pipeline for realistic TES simulation based on volumetric approach, 24th Annual Meeting of the Organization for Human Brain Mapping, Singapore, June 2018. (poster)
  44. link Yu Huang, Abhishek Datta, Marom Bikson and Lucas C. Parra, ROAST: an open-source, fully-automated, Realistic vOlumetric-Approach-based Simulator for TES, The 1st Carolina Neurostimulation Conference, Chapel Hill, NC, May 2018. (poster)
  45. link Yu Huang, Abhishek Datta, Marom Bikson and Lucas C. Parra, ROAST: an open-source, fully-automated, Realistic vOlumetric-Approach-based Simulator for TES, The 8th Annual Translational and Molecular Imaging Institute Symposium, New York, NY, April 2018. (poster)
  46. link Yu Huang, Abhishek Datta, Marom Bikson and Lucas C. Parra, ROAST: an open-source, fully-automated, Realistic vOlumetric-Approach-based Simulator for TES, Minnesota Neuromodulation Symposium, Minneapolis, MN, April 2018. (poster)
  47. link Yu Huang, Abhishek Datta, Marom Bikson, Lucas C. Parra, ROAST: a free, fully-automated, Realistic, vOlumetric-Approach-based Simulator for Transcranial electrical stimulation, The 4th Annual BRAIN Initiative Investigators Meeting, Rockville, MD, April 2018. (poster)
  48. link Ivan Iotzov, Brian C Fidali, Agustin Petroni, Mary M Conte, Nicholas D Schiff, Lucas C Parra. Neural Responses to Narrative Speech Differentiate Patients with Disordered Consciousness, 25th Annual Meeting of the Cognitive Neuroscience Society, Boston, MA, March 2018. (poster)
  49. link Samantha Cohen, Agustin Petroni, Lei Ai, Nicolas Langer, Simon Henin, Tamara Vanderwal, Michael P. Milham, Lucas C. Parra. Age and sex modulate the variability of neural responses to engaging videos, 25th Annual Meeting of the Cognitive Neuroscience Society, Boston, MA, March 2018. (poster)
  50. link Yu Huang, Abhishek Datta, Marom Bikson, Lucas C. Parra, ROAST: a free, fully-automated, Realistic, vOlumetric-Approach-based Simulator for Transcranial electrical stimulation, 4th Annual New York Metro Imaging Research Symposium, New York, NY, November 2017. (poster)
  51. Greg Kronberg, Asif Rahman, Marom Bikson, Lucas C. Parra, Direct current stimulation and synaptic plasticity, Society for Neuroscience, Washington D.C., November 2017. (poster)
  52. Greg Kronberg, Asif Rahman, Marom Bikson, Lucas C. Parra, Direct current stimulation modulates LTP and LTD: activity dependence and dendritic effects, NYC Neuromodulation, New York, NY, January 2017. (poster)
  53. link Samantha Cohen, Gad Touchan, Dennis Robles, Stella Ferrari, Simon Henin, Lucas C. Parra, Inter-subject synchrony predicts learning success for educational content, SFN, Washington, D.C., November 2017. (poster)
  54. link Samantha Cohen, Agustin Petroni, Lei Ai, Nicolas Langer, Simon Henin, Tamara Vanderwal, Michael P. Milham, Lucas C. Parra, Age and sex modulate the variability of neural responses to naturalistic videos, Brain Imaging Center 4th annual symposium, New York, NY, October 2017. (poster)
  55. link Samantha Cohen, Simon Henin, Lucas Parra, Engaging narratives evoke similar brainwaves and lead to similar perception of time, 1st Annual Conference on Cognitive Computational Neuroscience (CCN), New York, NY, September 2017. (poster)
  56. Ivan Iotzov, Evan Owens, Simon Henin, Lucas Parra, Cortical Entrainment to Noisy Auditory Speech as a Measure of Comprehension. Eastern Auditory Retreat, Washington D.C., June 2017.
  57. link Samantha Cohen, Simon Henin, Lucas Parra, Engaging narratives evoke similar brainwaves and lead to similar perception of time, 24th Annual Meeting of the Cognitive Neuroscience Society, San Francisco, CA, March 2017. (poster)
  58. link Gad Touchan, Samantha Cohen, Dennis Robles, Stella Ferrari, Simon Henin, Lucas Parra, Neural Correlates of Educational Engagement, 24th Annual Meeting of the Cognitive Neuroscience Society, San Francisco, CA, March 2017. (poster)
  59. link Yu Huang*, Anli Liu*, Belen Lafon, Daniel Friedman, Michael Dayan, Xiuyuan Wang, Marom Bikson, Orrin Devinsky, Lucas C. Parra, Measurements and models of electric fields in the in vivo human brain during TES, 23rd Annual Meeting of the Organization for Human Brain Mapping, Vancouver, Canada, June 2017. (poster)
  60. link Yu Huang, Chris Thomas, Abhishek Datta, Lucas C. Parra, Optimized tDCS for targeting multiple brain regions: an integrated implementation, Noninvasive Brain Stimulation pre-conference at the International Neuromodulation Society's 13th World Congress, Edinburgh, Scotland, UK, May 2017. (poster)
  61. link Yu Huang*, Anli Liu*, Belen Lafon, Daniel Friedman, Michael Dayan, Xiuyuan Wang, Marom Bikson, Werner K. Doyle, Orrin Devinsky, Lucas C. Parra, Measurements and models of electric fields in the in vivo human brain during TES, Minnesota Neuromodulation Symposium, Minneapolis, MN, April 2017. (poster)
  62. link Yu Huang*, Anli Liu*, Belen Lafon, Daniel Friedman, Michael Dayan, Xiuyuan Wang, Marom Bikson, Werner K. Doyle, Orrin Devinsky, Lucas C. Parra, Measurements and models of electric fields in the in vivo human brain during transcranial electric stimulation, The 7th Annual Translational and Molecular Imaging Institute Symposium, New York, NY, April 2017. (talk)
  63. link Yu Huang*, Anli Liu*, Belen Lafon, Daniel Friedman, Michael Dayan, Xiuyuan Wang, Marom Bikson, Orrin Devinsky, Lucas C. Parra, Measurements and models of electric fields in the in vivo human brain during transcranial electric stimulation, NYC Neuromodulation 2017, New York, NY, January 2017. (poster)
  64. link Yu Huang*, Anli Liu*, Belen Lafon, Daniel Friedman, Michael Dayan, Xiuyuan Wang, Orrin Devinsky, Lucas C. Parra, Direct experimental validation of transcranial electric stimulation models with intracranial recordings in human, SFN, San Diego, November 2016. (poster)
  65. Greg Kronberg, Asif Rahman, Marom Bikson, Lucas C. Parra, Direct current stimulation modulates LTP and LTD: activity dependence and dendritic effects, Society for Neuroscience, San Diego, CA, November 2016. (talk)
  66. link Belen Lafon*, Yu Huang*, Simon Henin, Daniel Friedman, Lucia Melloni, Thomas Thesen, Gyorgy Buzsaki, Orrin Devinsky, Lucas Parra#, Anli Liu#, Assessment of Transcranial Electrical Stimulation Effects on Brain Rhythms Measured by Invasive Electroencephalography, SFN, San Siego, November 2016. (poster)
  67. linkDavid O’Connor, Natan Vega Potler, Tamara Vanderwal, Lucas Parra,Samantha Cohen, Satrajit Ghosh, Jasmine Escalera, Natalie Grant-Villegas, Yael Osman, Megan Kovacs, Cameron Craddock, Michael Milham, Evaluating the Impact of Scan State on the Reliability of Inter-Individual Differences in Full-Brain Functional Connectivity, Cognitive Neuroscience Society, New York, April 2016 (poster)
  68. linkSamantha Cohen, Simon Henin, Lucas C Parra, Engagement synchronizes brains and warps time, Cognitive Neuroscience Society, New York, April 2016 (poster)
  69. linkAndreas Trier Poulsen, Simon Kamronn, Jacek Dmochowski, Lucas C. Parra, and Lars Kai Hansen, Measuring Engagement in a classroom: Synchronized neural responses to rich, naturalistic stimuli, Association for the Scientific Study of Consciousness, Buenos Aires, June 2016 (poster)
  70. linkDenise Robles, Simon Henin, Samantha Cohen, Lucas C. Parra 2, Predicting Learning Outcomes of Instructional Video Content using Neural Markers of Engagement, Cognitive Neuroscience Society, New York, April 2016 (poster)
  71. link Yu Huang, Lucas C. Parra, Stefan Haufe, ICBM-NY: A highly detailed volume conductor model for EEG source localization and TCS targeting, Society for Neuroscience Annual Meeting 2015, Chicago, IL, October 2015 (poster)
  72. linkSamantha Cohen, Lucas Parra, Incongruent visual animations make unrelated narratives more memorable by driving stronger brain responses, Society for Neuroscience, Chicago, October 2015 (poster)
  73. Jason Ki, Simon Kelly, Lucas Parra, Attention modulates reliability of neural responses to natural narrative stimuli, Society for Neuroscience, Chicago, October 2015 (talk).
  74. Greg Kronberg, Asif Rahman, Marom Bikson, Lucas C. Parra, Direct current stimulation modulates bidirectional synaptic plasticity, Society for Neuroscience, Chicago, IL, November 2015. (poster)
  75. link Belen Lafon, Anli Liu, Yu Huang, Preet Minhas, Kohitij Kar, Marom Bikson, Daniel Friedman, Bart Krekelberg, Lucas C. Parra, Direct experimental validation of computational current-flow models with intracranial recordings in human and non-human primates, NYC Neuromodulation 2015, New York, NY, January 2015 (poster)
  76. Belen Lafon, Asif Rahman, Marom Bikson, Lucas C. Parra, Direct evidence of altered neuronal excitability due to electric field stimulation, Society for Neuroscience Annual Meeting, DC, November 2014 (poster)
  77. Belen Lafon, Asif Rahman, Marom Bikson, Lucas Parra, Direct evidence of altered cell excitability by extracellular electric fields, COSYNE 2015, January, Salt Lake City.
  78. Jason Ki, Amal Alam, Stefan Haufe, Lucas C Parra, EEG evoked-responses during viewing of natural stimuli are strongly driven by overt orienting of attention, Society for Neuroscience Annual Meeting, DC, November 2014 (poster)
  79. Davide Reato, Marom Bikson, Lucas C. Parra, Lasting effects of direct current stimulation on gamma oscillations in-vivo, 9th FENS Forum of Neuroscience, Milan 2014 (poster)
  80. Lucas C Parra, Audience preferences are predicted by reliability of fast neural processing. Organization for Human Brain Mapping annual meeting, June 6-12, 2014. (symposium talk)
  81. Stefan Haufe , Daniel Rosenthal , Paul DeGuzman , Uri Hasson , and Lucas C. Parra, Narratives consistently modulate amplitudes of brain rhythms , Organization for Human Brain Mapping annual meeting, June 6-12, 2014. (poster)
  82. Justin Rice, Jessical Little, Christopher Rorden, Lucas C. Parra, Put subjects on their head: EEG is strongly modulated by head position, Organization for Human Brain Mapping annual meeting, June 6-12, 2014. (poster)
  83. Davide Reato, Marom Bikson, Lucas C. Parra, “Long-term effects of weak electrical stimulation on active neuronal networksâ€\C2? Computational Neuroscience Meeting, Paris, July 2013.
  84. Lucas C. Parra, Jacek P. Dmochovski, Joao Dias, Alain de Cheveigne, "Spatial projections of neural arrays: A short guide to classic and new signal analysis techniques", International Winter Workshop on Brain-Computer Interface (BCI), February 2013.
  85. link Lucas C. Parra, Jacek P. Dmochovski, Joao Dias, Alain de Cheveigne, "Spatial projections of neural arrays: A short guide to classic and new signal analysis techniques", International Winter Workshop on Brain-Computer Interface (BCI), February 2013.
  86. Lucas C. Parra, Davide Reato, "Network dynamics amplifies the effects of weak electric fields on gamma and slow-wave activity", Computational and Systems Neuroscience (Cosyne), February. 2013. (poster)
  87. Davide Reato, Fernando Gasca, Abhishek Datta, Marom Bikson, Lisa Marshall, Lucas C. Parra, "Transcranial electrical stimulation accelerates sleep homeostasis in humans," Bernstein Conference, Munich Germany, September 12-14, 2012. (poster)
  88. Belen Lafon, Davide Reato, Asif Rahman, Marom Bikson, Lucas C. Parra, "electric field modulation of long-term plastic effects," Bernstein Conference, Munich Germany, September 12-14, 2012. (poster)
  89. Asif Rahman, Davide Reato, Tom Radman, Lucas Parra, Marom Bikons, "How DC electric currents affect neuronal excitability is synaptic pathway dependent", Society for Neuroscience Meeting, Washington, DC, 141.07, November, 2011. (poster)
  90. Paul DeGuzman, Lucas C. Parra, "EEG study of the Zwicker tone", Society for Neuroscience Meeting, Washington, DC,171.28, November, 2011. (poster)
  91. Justin K Rice, Xiang Zhou, Lucas Parra, "EEG signal power is strongly modulated by head orientation", Society for Neuroscience Meeting, Washington, DC, 620.07, November, 2011. (poster)
  92. Davide Reato, Lisa Marshall, Lucas C. Parra, "Oscillatory electrical stimulation modulates power and coherence of human slow wave activity", CRCNS PI Meeting, Princeton, NJ, October 2011. (talk)
  93. link Belen Lafon, Davide Reato, Asif Rahman, Marom Bikson, Lucas C. Parra, "Modulation of homeostatic plasticity with electric field in rat hippocampal slices", CRCNS PI Meeting, Princeton, NJ, October 2011. (poster)
  94. Davide Reato, Marom Bikson, Lucas Parra, "Plastic Effects Of Electrical Stimulation On Slow Waves Activity: A Computational Study", BMES Annual Meeting, Hartford, CT, October 2011. (poster)
  95. Asif Rahman, Davide Reato, Lucas Parra, Marom Bikson, "Synaptic Pathway-Dependent Effects of DC Electric-Fields In Rat Cortical Brain Slices", BMES Annual Meeting, Hartford, CT, October 2011. (talk)
  96. Justin Rice, Lucas Parra, "10 Hz Non-Invasive Electrical Stimulation May Modulate Visual Attention", BMES Annual Meeting, Hartford, CT, October 2011. (poster)
  97. Jacek Dmochowski, Marom Bikson, Lucas Parra, "Targeting Deep Brain Regions with Optimized Multielectrode Transcranial Direct Current Stimulation", BMES Annual Meeting, Hartford, CT, October 2011. (poster) Paul Joseph DeGuzman, Lucas Parra, "EEG Correlates of the Zwicker Tone", BMES Annual Meeting, Hartford, CT, October 2011. (talk)
  98. Joao Dias, Lucas Parra, "EEG and eye tracking during free-viewing visual search", BMES Annual Meeting, Hartford, CT, October 2011. (talk)
  99. link Yu Huang, Yuzhuo Su, Abhishek Datta, Zhewei Jiang, Jacek P. Dmochowski, Chris Rorden, Lucas C. Parra, Automated Modeling of Targeted Non-Invasive Electrical Stimulation of the Brain with Multiple Electrodes, The 2nd Annual Translational and Molecular Imaging Institute Symposium, New York, NY, May 2011 (poster)
  100. Davide Reato, Marom Bikson, Lucas C. Parra, "Intrinsic network dynamics govern sensitivity to weak electric fields: Adaptation, modulation, and sub-harmonic pacing" Society for Neuroscience Meeting, San Diego, CA, Program number 645.27, November 2010.
  101. Primoz Ravbar, Lucas C. Parra, Dina Pipkind, Jonathan Benichov, Ofer Tchernichovski, "Vocal exploration changes dynamically at the sub-syllabic level during song learning," Society for Neuroscience Meeting, San Diego, CA, Program number 411.5, November 2010.
  102. Michael Chrostowski, Lucas C. Parra, Suzanna Becker, "Oscillations after hearing loss in the auditory cortex: a computational model", Society for Neuroscience Meeting, Chicago, IL, Program number 2009-S-5272-SfN, November 2009.
  103. link An Lou, Lucas C. Parra, Paul Sajda, "We Find Before We Look: Neural Signatures of Target Detection Preceding Saccades during Visual Search", Vision Sciences Society 9th Annual Meeting, Naples, FL, May 8-13, 2009 (poster), Journal of Vision, 9(8): article 1207. August 2009
  104. link Davide Reato, Lucas C. Parra, Marom Bikson, "Low-amplitude electric fields modulate the dynamics of a neuronal network oscillating at gamma frequencies", Fourth International Workshop on Seizure Prediction, Kansas City, June 2009. (poster)
  105. Davide Reato, Marom Bikson, Lucas C. Parra, "Low amplitude electrical stimulation modulates induced gamma activity in vitro", 3rd Tinnitus Research Initiative Meeting, Stresa, Italy, June 2009. (talk)
  106. link Xiang Zhou, Simon Henin, Glenis Long, Lucas C. Parra, "Spectral profile of tinnitus can be predicted from high-resolution audiogram and DPOAE for a subset of subjects", 3rd Tinnitus Research Initiative Meeting, Stresa, Italy, June 2009. (talk)
  107. link Xiang Zhou, Suzanne Thompson, Glenis Long, Lucas C. Parra, "Perception thresholds of pure tone in notched noise correlate with generator component of distortion product oto-acoustic emissions", 3rd Tinnitus Research Initiative Meeting, Stresa, Italy, June 2009. (poster)
  108. Michael Chrostowski, Suzanna Becker, Lucas C. Parra, "Oscillatory activity and tinnitus: a computational model", 3rd Tinnitus Research Initiative Meeting, Stresa, Italy, June 2009. (poster)
  109. link Davide Reato, Marom Bikson, Lucas C. Parra, "Modulation of carbachol-evoked gamma activity in vitro with low-amplitude AC eletric fields", Society for Neuroscience Meeting, Washington, DC, Program number 41.19/06, November 2008. (poster)
  110. link Wei Ji Ma, Xiang Zhou, Lucas C. Parra, "Auditory-Visual Speech Recognition is Consistent with Bayes-Optimal Cue Combination", Computational and Systems Neuroscience 2008 Salt Lake City, February 2008. (poster)
  111. link Yuzhuo Su, Thomas Radman, Marom Bikson, Lucas C. Parra, "Small fields change spike timing: A functional role of local-field potentials?", Computational and Systems Neuroscience 2007 Salt Lake City, February 2007. (talk)
  112. Lucas C. Parra, Barak Pearlmutter, "Illusory Percepts from Auditory Adaptation: a link between Tinnitus and Zwicker tone", Neural Information Processing Systems 2006 - Workshops, Models for Acoustic Processing, Whistler, December 2006 (talk).
  113. link S. A. Helekar, D. Salgado-Commissariat, P. Diep, R. Langot, K. K. Maul, O. Tchernichovski, L. Parra: "Preservation of the shape of auditory evoked responses to birdsong stimuli despite degradation of their spectrotemporal structure in zebra finches", Society for Neuroscience Meeting, Atlanta, GA, Program number 579.12, 2006.
  114. Thomas Radman, Lucas C. Parra, Marom Bikson, "Amplification of small electric fields by neurons: implications for endogenous field-effects", Society for Neuroscience Meeting, Atlanta, GA, Program number 539.6, 2006.
  115. link Xiang Zhou, Lars Ross, Tue Lehn-Schioler, John J. Foxe, Lucas C. Parra, "Temporal visual cues aid speech recognition", 7th Annual Meeting of the International Multisensory Research Forum, Dublin, Ireland, June 18 - 21, 2006. poster.
  116. link S. Thakur, Y. Su, S. Karimi, S. Du, P. Sajda, W. Huang, L. Parra, "Spectral Separation Analyses of Proton MRSI Data: Validation with Tumor Grade of Brain Glioma", International Society for Magnetic Resonance in Medicine 14th Scientific Meeting & Exhibition, Seattle, Washington, USA, May 6-12, 2006. talk.
  117. link Lucas C. Parra, Barak A. Perlmutter, "Illusory Percepts from Auditory Adaptation". Computational and Systems Neuroscience 2006, March 5-8, 2006, Salt Lake City, Utah, poster.
  118. Lucas C. Parra, Anthony J. Bell, "Spike Timing-Dependent Learning in Networks", Computational and Systems Neuroscience 2005, March 17-20, 2005 - Salt Lake City, oral presentation.
  119. Lucas C. Parra, "Real-time EEG: Applications and Methods", Human Computer Interaction International Conference 2005, Las Vegas, July 22, Augmented Cognition Tutorial. invited talk.
  120. link Yuzhuo Su, Sunitha Thakur, Wei Huang, Shuyan Du, Paul Sajda, Lucas C. Parra, Spectral separation resolves partial volume effect in MRSI. Annual Fall Meeting of the BME Society, September 2005, poster.
  121. Lucas Parra, "Acoustic Source Separation with Microphone Arrays", Audio Engineering Society annual Meeting, New York, October 2005.
  122. link Lucas Parra, Adam Gerson, Paul Sajda, "Origins of Response Time Variability in a Rapid Serial Visual Presentation Task", Cold Spring Harbor meeting Computational and Systems Neuroscience 2004. March 24-March 28, 2004
  123. Lucas Parra, Marom Bikson, "Model of the effect of extracellular fields on spike time coherence", Neuroscience 2004, the Society for Neuroscience's 34th Annual Meeting, San Diego, October 23-27. poster.
  124. link Paul Sajda, Shuyan Du and Lucas Parra, "Recovery of constituent spectra using non-negative matrix factorization", invited submission, SPIE Wavelets X, San Diego, CA., 2003.
  125. link Lucas Parra, "An Introduction to Independent Component Analysis and Blind Source Separation", Part of a course on Neural Network in the EE department in Princeton Univ., November 1998.
  126. link Lucas Parra, Clay Spence, Bert De Vries, "Convolutive Source Separation and Signal Modeling with ML", International Symposium on Intelligent Systems (ISIS'97), 1997, Regio Calabria, Italy.
  127. Lucas Parra, Harrison Barrett, "Maximum Likelihood Image Reconstruction from List-Mode Data", Society of Nuclear Medicine 43rd Annual Meeting, Denver, June 1996, Abstract.
  128. Harrison Barrett, Timothy White, Lucas Parra, "List-Mode Likelihood", Society of Nuclear Medicine 43rd Annual Meeting, Denver, June 1996, Abstract.
  129. link Lucas Parra: "Unsupervised Training in Connectionist Models with Information Theoretic Principles", dissertation (German), Ludwig Maximilian Universitaet, Muenchen, 1996.
  130. link Pearlmutter B., Parra L.: "Maximal information transfer in spiking neurons", Society for Neuroscience Abstracts, 21(480.7), 1995.
  131. Lucas C. Parra and Barak A. Pearlmutter. Maximal information transfer in a spiking neuron. Snowbird Workshop on Neural Networks for Computing, April 1995. Poster.
  132. L. Parra: "Optical neural nets with sparse connectivity", Diploma thesis, Medical Optics Lab in the Department of Physic, Ludwig Maximilian University Munich, 1992

Peer-Reviewed Conference Proceedings

  1. Maximilian Nentwich, Behtash Babadi, Stephan Bickel, Lucas C Parra, VARX model of the Brain: Functional connectivity dominates response to natural stimulus in human intracranial EEG, Computational Cognitive Neuroscience 2024, Boston, Massachusetts, August 6-9, 2024 (poster)
  2. Forouzan Farahani, tDCS at clinically-relevant field intensity boost motor learning in rats, 2024 NYC Neuromodulation Conference, New York, NY, July 31-August 4, 2024 (talk presentation slides)
  3. Forouzan Farahani, Interaction of motor learning and tDCS at 2 V/m in rats, Neuroscience 2022, Society for Neuroscience Conference, November 12-16, 2022 (poster)
  4. Forouzan Farahani, Preston Williams, Mihaly Voroslakos, Niranjan Khadka, Marom Bikson, John Martin, Lucas Parra, Motor learning with tDCS in Rats, 2022 Joint meeting of Neuroergonomics Conference & NYC Neuromodulation Conference, New York, NY, July 28-August 1, 2022 (talk presentation slides) (poster)
  5. Forouzan Farahani, Greg Kronberg, Hysell Oviedo, Lucas Parra, Effects of direct current stimulation on synaptic plasticity in a single neuron, Neuroscience 2021, Society for Neuroscience Conference , November 8-11, 2021 (presentation slides)
  6. Yu Huang, Abhishek Datta, Comparison of optimized interferential stimulation using two pairs of electrodes and two arrays of electrodes, Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Mexico, November 2021, 4180-4183 (virtual talk)
  7. Forouzan Farahani, Greg Kronberg, Hysell Oviedo, Lucas Parra, Modulation of synaptic plasticity in single neurons with transcranial direct current stimulation, 2020 Neuromatch Conference 3.0, October 26-30, 2020 (poster)
  8. Ivan Iotzov, Lucas C. Parra, Using EEG to Predict Speech Intelligibility, Conference on Cognitive Computational Neuroscience, Berlin, Germany, September 13-16, 2019. (poster)
  9. Chris Thomas, Yu Huang, Paula Cristina Faria, Abhishek Datta, "High-resolution head model of transcranial direct current stimulation: A labeling analysis", 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Berlin, Germany, July 2019.
  10. Yu Huang, Chris Thomas, Abhishek Datta, "Optimized Transcutaneous Spinal Cord Direct Current Stimulation using Multiple Electrodes from 3/9/7 System", 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Berlin, Germany, July 2019.
  11. link Abhishek Datta, Chris Thomas, Yu Huang, Ganesan Venkatasubramanian, " Exploration of the effect of race on cortical current flow due to Transcranial Direct Current Stimulation: Comparison across Caucasian, Chinese, and Indian standard brains", The 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Honolulu, HI, July 2018.
  12. link Yu Huang, Chris Thomas, Abhishek Datta, Lucas C. Parra, "Optimized tDCS for Targeting Multiple Brain Regions: An Integrated Implementation", 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Honolulu, HI, July 2018.
  13. link Yu Huang, Abhishek Datta, Marom Bikson, Lucas C. Parra, "ROAST: an open-source, fully-automated, Realistic vOlumetric-Approach-based Simulator for TES", 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Honolulu, HI, July 2018.
  14. link Samantha S. Cohen, Simon Henin, Lucas C. Parra, Engaging narratives evoke similar neural activity and lead to similar time perception, 2017 Conference on Cognitive Computational Neuroscience (CCN), New York, New York, September 2017.
  15. link Belen Lafon, Anli Liu, Yu Huang, Preet Minhas, Kohitij Kar, Marom Bikson, Daniel Friedman, Bart Krekelberg, Lucas C. Parra, Direct Experimental Validation of Computational Current Flow Models with Intra-Cranial Recordings in Human and Non-Human Primates, Brain Stimulation, 10, e15
  16. link Stefan Haufe, Yu Huang, Lucas Parra, A highly detailed FEM volume conductor model based on the ICBM152 average head template for EEG source imaging and TCS targeting, 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Milan, Italy, August 2015.
  17. link Andreas Trier Poulsen, Simon Kamronn, Lucas C. Parra, Lars Kai Hansen, "Bayesian correlated component analysis for inference of joint EEG activation", 2014 International Workshop on Pattern Recognition in Neuroimaging, Tubingen, Germany, June 2014.
  18. link Hahne JM, Rehbaum H, Biessmann F, Meinecke FC, Mueller KR, Jiang N, Farina D, Parra LC, "Simultaneous and proportional control of 2D wrist movement with myoelectric signals", 2012 IEEE International Workshop on Machine Learning for Signal Processing, Santander, Spain, September, 2012.
  19. link Yu Huang, Yuzhuo Su, Christopher Rorden, Jacek Dmochowski, Abhishek Datta, Lucas C. Parra "An Automated Method for High-Definition Transcranial Direct Current Stimulation Modeling", 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, San Diego, August, 2012.
  20. link Jacek P. Dmochowski, Marom Bikson, Abhishek Datta, Jessica Richardson, Julius Fridriksson, Lucas C. Parra, "On the Role of Electric Field Orientation in Optimal Design of Transcranial Current Stimulation", 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, San Diego, August, 2012.
  21. link Egas M. Caparelli-Daquer, Trelawny J. Zimmermann, Eric Mooshagian, Lucas C. Parra, Justin K. Rice, Abhishek Datta, Marom Bikson, Eric M. Wassermann, "A Pilot Study on Effects of 4x1 High-Definition tDCS on Motor Cortex Excitability", 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, San Diego, August, 2012.
  22. link Joao C. Dias, Lucas C. Parra, “No EEG Evidence for Subconscious Detection During Rapid Serial Visual Presentationâ€\C2? IEEE Signal Processing in Medicine and Biology Symposium, Brookly, NY, December 10, 2011.
  23. link Jacek P. Dmochowski, Paul Sajda, Lucas C. Parra, "Examining Loss Functions for Cost-Sensitive Learning", Snowbird Learning Workshop, Fort Lauderdale, April 2011.
  24. link Jacek P. Dmochowski, Abhishek Datta, Marom Bikson, Yuzhuo Su, Lucas C. Parra, "Multiple Electrode Scheme for Optimal Non-Invasive Electrical Stimulation", IEEE, Neural Engineering Conference, Cancun, Mexico, April 2011.
  25. link Martin Graziano, Lucas C. Parra, Mariano Sigman "Neurophysiology of perceived confidence", 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Buenos Aires, August, 2010.
  26. link Jonathan Le Roux, Alain de Cheveigne, Lucas C. Parra, "Adaptive Template Matching with Shift-Invariant Semi-NMF", Advances in Neural Information Processing Systems 21, 2009. ( posterlink)
  27. link Christoforos Christoforou, Paul Sajda, Lucas C. Parra, "Second Order Bilinear Discriminant Analysis for single trial EEG", Advances in Neural Information Processing Systems 20, Eds. J.C. Platt and D. Koller and Y. Singer and S. Roweis, pp. 313-320, MIT Press, 2008.
  28. link Mads Dyrholm, Lucas C. Parra, "Smooth bilinear classification of EEG", 28th Anual International Conference of the IEEE Engineering in Medicine and Biology Society, New York, August 2006.
  29. link Thomas Radman, Lucas C. Parra, Marom Bikson, "Amplification of small electric fields by neurons; implications for spike timing", 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, New York, August 2006.
  30. link Akaysha C. Tang, Matthew T. Sutherland, Christopher J. McKinney, Jing-Yu Liu, Yan Wang, Lucas C. Parra, Adam D. Gerson, Paul Sajda, "Classifying Single-Trial ERPs from Visual and Frontal Cortex during Free Viewing", International Joint Conference on Neural Networks, Vancouver, July 2006.
  31. link Lucas C. Parra, "Least squares frequency invariant beamforming", IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, Mohonk, October 2005, pp. 102-105
  32. link Anthony J. Bell, Lucas C. Parra: "Maximising Sensitivity in a Spiking Network", Advances in Neural Information Processing Systems 17, Lawrence K. Saul and Yair Weiss and Leon Bottou, MIT Press, Cambridge, MA. 2005
  33. link Lucas Parra, Marom Bikson, "Model of the effect of extracellular fields on spike time coherence", 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, vol 2(6), pp. 4584 - 4587, September 2004,
  34. link Paul Sajda, Shuyan Du, Truman Brown, Lucas Parra, Radka Stoyanova, "Recovery of Constituent Spectra in 3D Chemical Shift Imaging using Non-negative Matrix Factorization", International Conference on Independent Component Analysis, Nara, Japan, April, 2003. pp. 71-76
  35. link Lucas Parra, Paul Sajda, "Converging Evidence of Linear Independent Components in EEG", First International IEEE EMBS Conference on Neural Engineering, 20-22 March 2003, Conference Proceedings pp. 525-528, 2003.
  36. Paul Sajda, Adam Gerson, Lucas Parra, "High-throughput Image Search via Single-trial Event Detection in a Rapid Serial Visual Presentation Task", First International IEEE EMBS Conference on Neural Engineering 20-22 March 2003, Conference Proceedings. pp. 7-10, 2003
  37. link Craig Fancourt, Lucas Parra, "A comparison of decorrelation criteria for the blind source separation of non-stationary signals", IEEE Sensor Array and Multichannel Signal Processing Workshop, Rosslyn, VA, pp. 165-168, August 2002.
  38. link Paul Sajda, Clay Spence, Lucas Parra "Capturing Contextual Dependencies In Medical Imagery Using Hierarchical Multi-Scale Models", IEEE International Symposium on Biomedical Imaging, Washington, pp. 165-168, 7-10 July 2002.
  39. link Lucas Parra, Christopher Alvino, "Geometric Source Separation: Merging convolutive source separation with geometric beamforming", IEEE International Workshop on Neural Networks and Signal Processing 2001. pp. 273-282
  40. link Craig Fancourt, Lucas Parra, "The coherence function in blind source separation of convolutive mixtures of non-stationary signals", IEEE International Workshop on Neural Networks and Signal Processing 2001.
  41. link Craig Fancourt, Lucas Parra, "The Generalized Sidelobe Decorrelator", IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, pp. 167-170, 21-24 Oct. 2001.
  42. link Lucas Parra, Uday Jain, "Approximate Kalman filtering for the harmonic plus noise model", IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, pp. 75-78, 2001.
  43. link Clay Spence, Lucas Parra, Paul Sajda, "Detection, Synthesis and Compression in Mammographic Image Analysis with a Hierarchical Image Probability Model", IEEE Workshop on Mathematical Methods in Biomedical Image Analysis, pp. 3-10, December, 2001.
  44. link Clay Spence, Lucas Parra, "Hierarchical Image Probability (HIP) Models", Advances in Neural Information Processing Systems 12, MIT Press, pp. 848-854, 2000.
  45. link Lucas Parra, Klaus-Robert Mueller, Clay Spence, Andreas Ziehe, Paul Sajda, "Unmixing Hyperspectral Data", Advances in Neural Information Processing Systems 12, MIT Press, pp. 942-948, 2000.
  46. link Spence, C.D., L. Parra and P. Sajda, "Mammographic mass detection with a hierarchical image probability (HIP) model," in Medical Imaging 2000, Kenneth M. Hanson, Editor, Proceedings of SPIE Vol. 3979, pp. 990-997 (2000).
  47. link Spence, C.D., L. Parra and P. Sajda, "Hierarchical image probability (HIP) models," Proceedings of International Conference on Image Processing, September 2000, IEEE (2000).
  48. link Lucas Parra, Clay Spence and Paul Sajda, "Higher-order Statistical Properties Arising from the Non-stationarity of Natural Signals," Advances in Neural Information Processing Systems 13, pp 786-792. 2001.
  49. link Lucas Parra, "Reconstruction of cone-beam projections from Compton scattered data", Nuclear Science Symposium, 1999. Conference Record. 1999 IEEE Volume: 2 , Page(s): 1082 -1086 vol.2
  50. Lucas Parra, Clay Spence, "Convolutive Blind Source Separation based on Multiple Decorrelation", presented at "Machines that Learn" Workshop, Snowbird, 1998, link , and IEEE Neural Networks and Signal Processing Workshop, Cambridge, UK, September 1998 link.
  51. link Barak Pearlmutter, Lucas Parra: "Maximum Likelihood Blind Source Separation: A context-sensitive generalization of ICA", Advances in Neural Information Processing Systems 9, MIT Press, pp. 613-619, 1997.
  52. link Barak Pearlmutter, Lucas Parra: "A context-sensitive generalization of Independent Component Analysis", 1996 International Conference on Neural Information Processing, Hong Kong, September 24 - 27, 1996.
  53. linkParra L.: "Symplectic Nonlinear Independent Component Analysis", Advances in Neural Information Processing Systems 8, D. S. Touretzky, M. C. Mozer, M. E. Hasselmo, eds., MIT Press, 1996. 437-443.
  54. Gustavo Deco, Lucas Parra: "Redundancy Reduction by Unsupervised Boltzmann Machines", WCNN San Diego 1994 IV-229-233
  55. G. Hausler, T. Neumahr, L. Parra, H. Schvnfeld, B. Spellenberg: "Chaos, order and associative memory in video-feedback", Proc. SPIE Conf. 2039 "Chaos in Optics", San Diego 1993
  56. link Parra L., Deco G.: "A Stochastic Network with Rotor Neurons", Proc. Int. Joint Conf. NN 1993, Vol. 2, 1397-1400.
  57. link Deco G., Parra L.:"Self-Organization in stochastic Neural Networks", Proc. Int. Joint Conf. NN 1993, Vol. 1, 479-482.

Book Chapters

  1. Mahima Sharma, Forouzan Farahani, Marom Bikson, Lucas C. Parra, Animal Studies on the Mechanisms of Low-Intensity Transcranial Electric Stimulation,in Transcranial Direct Current Stimulation in Neuropsychiatric Disorders, A Brunoni, Andre, Nitsche, Michael, Loo, Colleen (Eds.), Springer, Chapter 5, pp. 67-92, 2021.
  2. Forouzan Farahani, Mahima Sharma, Lucas C. Parra, Marom Bikson, Animal Models of tES: Methods, Techniques and Safety, in Transcranial Direct Current Stimulation in Neuropsychiatric Disorders, A Brunoni, Andre, Nitsche, Michael, Loo, Colleen (Eds.) , Springer, Chapter 4, pp. 49-66, 2021.
  3. Paul Sajda, Eric Pohlmeyer, Jun Wang, Barbara Hanna, Lucas C. Parra and Shih-Fu Chang, "Cortically-Coupled Computer Vision", in Brain-Computer Interfaces Applying our Minds to Human-Computer Interaction, Springer, Chapter 5, 2010.
  4. link L. Albera, P. Comon, L.C. Parra, A. Karfoul, A. Kachenoura, L. Senhadji, "ICA and biomedical applications", Handbook of Blind Source Separation, Independent Component Analysis and Applications P. Comon and C. Jutten Eds, Academic Press 2010, Chapter 18, pp. 737-777.
  5. link Michael S. Pedersen, Jan Larsen, Ulrik Kjems, Lucas C. Parra, "A survey of Convolutive Blind Source Separation Methods", in Multichannel Speech Processing Handbook, Eds. Jacob Benesty and Arden Huang, Springer 2007, Chapter 51, pp. 1065-1084
  6. link Adam Gerson, Lucas Parra, Paul Sajda, "Single-trial analysis of EEG for Enabling Cognitive User Interfaces",IEEE Neural-Engineering Handbook, Wiley/IEEE, 2006
  7. link Paul Sajda, Adam D. Gerson, Marios G. Philiastides and Lucas C. Parra, ''Single-trial analysis of EEG during rapid visual discrimination: Enabling cortically-coupled computer vision'', book chapter in Brain-Computer Interface, Ed. Guido Dornhege, Klaus-Rober Mueller, MIT press, Spring 2007
  8. link Lucas Parra, Craig Fancourt, "An Adaptive Beamforming Perspective on Convolutive Blind Source Separation", book chapter in "Noise Reduction in Speech Applications", Ed. Gillian Davis, CRC Press LLC, 2002.
  9. link Lucas Parra, Clay Spence, "Separation of non-stationary natural signals", book chapter in "Independent Components Analysis, Principles and Practice", Eds. Stephen Roberts, Richard Everson, Canbridge University Press, pp. 135-157, 2001.
  10. link Lucas Parra, "Temporal Models in Blind Source Separation", chapter in "Adaptive Processing of Sequences and Data Structures" - International Summer School on Neural Networks, "E.R. Caianiello", Vietri sul Mare, Salerno, Italy,September 6-13, 1997, Tutorial Lectures. Edited by Lee Giles and Marco Gori. Part of the series "Lecture Notes in Computer Science", Springer, pp. 229-247, 1998