| The open EEGLAB portal interface: High-performance computing with EEGLAB R Martínez-Cancino, A Delorme, D Truong, F Artoni, K Kreutz-Delgado, ... NeuroImage 224, 116778, 2021 | 56 | 2021 |
| Measuring transient phase-amplitude coupling using local mutual information R Martínez-Cancino, J Heng, A Delorme, K Kreutz-Delgado, RC Sotero, ... NeuroImage 185, 361-378, 2019 | 52 | 2019 |
| From BIDS-formatted EEG data to sensor-space group results: a fully reproducible workflow with EEGLAB and LIMO EEG CR Pernet, R Martinez-Cancino, D Truong, S Makeig, A Delorme Frontiers in neuroscience 14, 610388, 2021 | 33 | 2021 |
| Anatomically-constrained effective connectivity among layers in a cortical column modeled and estimated from local field potentials RC Sotero, A Bortel, R Martinez-Cancino, S Neupane, P O'CONNOR, ... Journal of integrative neuroscience 9 (04), 355-379, 2010 | 31 | 2010 |
| Trial-by-trial source-resolved EEG responses to gait task challenges predict subsequent step adaptation J Wagner, R Martínez-Cancino, S Makeig Neuroimage 199, 691-703, 2019 | 30 | 2019 |
| Dynamical mean field model of a neural-glial mass RC Sotero, R Martínez-Cancino Neural computation 22 (4), 969-997, 2010 | 23 | 2010 |
| Neural oscillatory abnormalities during gaze processing in schizophrenia: evidence of reduced theta phase consistency and inter-areal theta-gamma coupling TB Grove, CA Lasagna, R Martínez-Cancino, P Pamidighantam, ... Biological Psychiatry: Cognitive Neuroscience and Neuroimaging 6 (3), 370-379, 2021 | 22 | 2021 |
| High-density EEG mobile brain/body imaging data recorded during a challenging auditory gait pacing task J Wagner, R Martinez-Cancino, A Delorme, S Makeig, T Solis-Escalante, ... Scientific data 6 (1), 211, 2019 | 19 | 2019 |
| Computing phase amplitude coupling in EEGLAB: PACTools R Martínez-Cancino, A Delorme, K Kreutz-Delgado, S Makeig 2020 IEEE 20th International Conference on Bioinformatics and Bioengineering …, 2020 | 15 | 2020 |
| What can local transfer entropy tell us about phase-amplitude coupling in electrophysiological signals? R Martínez-Cancino, A Delorme, J Wagner, K Kreutz-Delgado, RC Sotero, ... Entropy 22 (11), 1262, 2020 | 12 | 2020 |
| Tools for importing and evaluating BIDS-EEG formatted data A Delorme, D Truong, R Martinez-Cancino, C Pernet, S Sivagnanam, ... 2021 10th International IEEE/EMBS Conference on Neural Engineering (NER …, 2021 | 9 | 2021 |
| Electroencephalography robust statistical linear modelling using a single weight per trial C Pernet, G Rousselet, IS Mas, R Martinez, R Wilcox, A Delorme bioRxiv, 2021.04. 27.441629, 2021 | 8 | 2021 |
| The open EEGLAB portal A Delorme, A Majumdar, S Sivagnanam, R Martinez-Cancino, ... 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER …, 2019 | 5 | 2019 |
| Modeling the effect of cytoplasm sol-gel transitions on magnetization changes during MRI diffusion experiments in brain gray matter R Martínez-Cancino, RC Sotero International Journal of Bioelectromagnetism 10 (4), 269-80, 2008 | 5 | 2008 |
| Neuroscience Gateway enabling large scale modeling and data processing in neuroscience research S Sivagnanam, K Yoshimoto, T Carnevale, D Nadeau, M Kandes, ... Practice and Experience in Advanced Research Computing, 510-513, 2020 | 4 | 2020 |
| Dynamical Mean Field approximation of a canonical cortical model for studying inter-population synchrony R Martínez-Cancino, RC Sotero Diaz Nature Precedings, 1-1, 2011 | 4 | 2011 |
| The extended amygdala is a key substrate for sustained anxiety AJ Shackman, AS Fox, JA Oler, JS Weinstein, R Martinez-Cancino, ... BIOLOGICAL PSYCHIATRY 77 (9), 2015 | 2 | 2015 |
| Methods and tools for characterizing transient phase-amplitude coupling in neural oscillations R Martinez Cancino UC San Diego, 2020 | | 2020 |
| Improving Classification Accuracy in Cortical Surface Recordings Using ICA-Based Features S Estrin, R Martinez-Cancino, S Makeig, V Gilja 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2018 | | 2018 |
| Local mutual information estimator of functional connectivity on EEG source sparse time series A Ojeda, R Martinez-Cancino, K Kreutz-Delgado, P Valdes-Sosa, ... | | |
Scott MakeigDirector, Swartz Center for Computational Neuroscience, Institute for Neural Computation, UCSD在 ucsd.edu 的电子邮件经过验证
