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Nima Bigdely-Shamlo

Showing results (1-10 of 19) with videos related to

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Frontiers in Neuroinformatics|March 26, 2016
Preparing Laboratory and Real-World EEG Data for Large-Scale Analysis: A Containerized ApproachNima Bigdely-Shamlo, Scott Makeig, Kay A Robbins
Frontiers in Human Neuroscience|March 18, 2014
MoBILAB: an open source toolbox for analysis and visualization of mobile brain/body imaging dataAlejandro Ojeda, Nima Bigdely-Shamlo, Scott Makeig
Computational Intelligence and Neuroscience|June 25, 2016
PWC-ICA: A Method for Stationary Ordered Blind Source Separation with Application to EEGKenneth Ball, Nima Bigdely-Shamlo, Tim Mullen, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|November 8, 2008
Brain activity-based image classification from rapid serial visual presentationNima Bigdely-Shamlo, Andrey Vankov, Rey R Ramirez, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 11, 2013
EyeCatch: data-mining over half a million EEG independent components to construct a fully-automated eye-component detectorNima Bigdely-Shamlo, Ken Kreutz-Delgado, Christian Kothe, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
Basis selection for maximally independent EEG sourcesOzgur Balkan, Nima Bigdely-Shamlo, Kenneth Kreutz-Delgado, et al.
Neuroimage|February 2, 2013
Measure projection analysis: a probabilistic approach to EEG source comparison and multi-subject inferenceNima Bigdely-Shamlo, Tim Mullen, Kenneth Kreutz-Delgado, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|March 29, 2020
How Sensitive Are EEG Results to Preprocessing Methods: A Benchmarking StudyKay A Robbins, Jonathan Touryan, Tim Mullen, et al.
Frontiers in Neuroscience|February 21, 2017
BLINKER: Automated Extraction of Ocular Indices from EEG Enabling Large-Scale AnalysisKelly Kleifges, Nima Bigdely-Shamlo, Scott E Kerick, et al.
Frontiers in Human Neuroscience|January 27, 2011
Visual evoked responses during standing and walkingKlaus Gramann, Joseph T Gwin, Nima Bigdely-Shamlo, et al.
Pageof 2

Showing results (1-10 of 19) with videos related to

Sort By:
Pageof 2
Frontiers in Neuroinformatics|March 26, 2016
Preparing Laboratory and Real-World EEG Data for Large-Scale Analysis: A Containerized ApproachNima Bigdely-Shamlo, Scott Makeig, Kay A Robbins
Frontiers in Human Neuroscience|March 18, 2014
MoBILAB: an open source toolbox for analysis and visualization of mobile brain/body imaging dataAlejandro Ojeda, Nima Bigdely-Shamlo, Scott Makeig
Computational Intelligence and Neuroscience|June 25, 2016
PWC-ICA: A Method for Stationary Ordered Blind Source Separation with Application to EEGKenneth Ball, Nima Bigdely-Shamlo, Tim Mullen, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|November 8, 2008
Brain activity-based image classification from rapid serial visual presentationNima Bigdely-Shamlo, Andrey Vankov, Rey R Ramirez, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 11, 2013
EyeCatch: data-mining over half a million EEG independent components to construct a fully-automated eye-component detectorNima Bigdely-Shamlo, Ken Kreutz-Delgado, Christian Kothe, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
Basis selection for maximally independent EEG sourcesOzgur Balkan, Nima Bigdely-Shamlo, Kenneth Kreutz-Delgado, et al.
Neuroimage|February 2, 2013
Measure projection analysis: a probabilistic approach to EEG source comparison and multi-subject inferenceNima Bigdely-Shamlo, Tim Mullen, Kenneth Kreutz-Delgado, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|March 29, 2020
How Sensitive Are EEG Results to Preprocessing Methods: A Benchmarking StudyKay A Robbins, Jonathan Touryan, Tim Mullen, et al.
Frontiers in Neuroscience|February 21, 2017
BLINKER: Automated Extraction of Ocular Indices from EEG Enabling Large-Scale AnalysisKelly Kleifges, Nima Bigdely-Shamlo, Scott E Kerick, et al.
Frontiers in Human Neuroscience|January 27, 2011
Visual evoked responses during standing and walkingKlaus Gramann, Joseph T Gwin, Nima Bigdely-Shamlo, et al.
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