SciPy 1.0: fundamental algorithms for scientific computing in Python P Virtanen, R Gommers, TE Oliphant, M Haberland, T Reddy, ... Nature methods 17 (3), 261-272, 2020 | 27284 | 2020 |
MEG and EEG data analysis with MNE-Python A Gramfort, M Luessi, E Larson, DA Engemann, D Strohmeier, ... Frontiers in neuroscience 7, 70133, 2013 | 2708 | 2013 |
MNE software for processing MEG and EEG data A Gramfort, M Luessi, E Larson, DA Engemann, D Strohmeier, ... neuroimage 86, 446-460, 2014 | 1789 | 2014 |
SciPy 1.0 Contributors P Virtanen, R Gommers, TE Oliphant, M Haberland, T Reddy, ... Nat. Methods 17 (3), 352, 2020 | 873 | 2020 |
S... Contributors,“SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python,” P Virtanen, R Gommers, TE Oliphant, M Haberland, T Reddy, ... Nature methods 17 (3), 261-272, 2020 | 550 | 2020 |
Using neuroimaging to understand the cortical mechanisms of auditory selective attention AKC Lee, E Larson, RK Maddox, BG Shinn-Cunningham Hearing research 307, 111-120, 2014 | 124 | 2014 |
SciPy 1.0: fundamental algorithms for scientific computing in Python SP Contributors, P Virtanen, R Gommers, TE Oliphant, M Haberland, ... Nature methods 17 (353), 261-272, 2020 | 116 | 2020 |
A reproducible MEG/EEG group study with the MNE software: recommendations, quality assessments, and good practices M Jas, E Larson, DA Engemann, J Leppäkangas, S Taulu, M Hämäläinen, ... Frontiers in neuroscience 12, 345102, 2018 | 105 | 2018 |
Bottom-up and top-down influences on spatial unmasking BG Shinn-Cunningham, A Ihlefeld, E Larson Acta Acustica United with Acustica 91 (6), 967-979, 2005 | 99 | 2005 |
Auditory selective attention reveals preparatory activity in different cortical regions for selection based on source location and source pitch AKC Lee, S Rajaram, J Xia, H Bharadwaj, E Larson, MS Hämäläinen, ... Frontiers in neuroscience 6, 190, 2013 | 95 | 2013 |
nipy/nibabel: 3.2. 1 M Brett, CJ Markiewicz, M Hanke, MA Côté, B Cipollini, P McCarthy, ... Zenodo, 2020 | 94 | 2020 |
MEG and EEG data analysis with MNE-Python. Front. Neurosci. 7, 267 A Gramfort, M Luessi, E Larson, DA Engemann, D Strohmeier, ... Frontiers, 2013 | 88 | 2013 |
MNE-BIDS: Organizing electrophysiological data into the BIDS format and facilitating their analysis S Appelhoff, M Sanderson, TL Brooks, M van Vliet, R Quentin, C Holdgraf, ... Journal of Open Source Software 4 (44), 2019 | 85 | 2019 |
Infant brain responses to felt and observed touch of hands and feet: an MEG study AN Meltzoff, RR Ramírez, JN Saby, E Larson, S Taulu, PJ Marshall Developmental science 21 (5), e12651, 2018 | 82 | 2018 |
The cortical dynamics underlying effective switching of auditory spatial attention E Larson, AKC Lee Neuroimage 64, 365-370, 2013 | 68 | 2013 |
Analysis methods for measuring passive auditory fNIRS responses generated by a block-design paradigm R Luke, E Larson, MJ Shader, H Innes-Brown, L Van Yper, AKC Lee, ... Neurophotonics 8 (2), 025008-025008, 2021 | 66 | 2021 |
Reducing sensor noise in MEG and EEG recordings using oversampled temporal projection E Larson, S Taulu IEEE Transactions on Biomedical Engineering 65 (5), 1002-1013, 2017 | 53 | 2017 |
Switching auditory attention using spatial and non-spatial features recruits different cortical networks E Larson, AKC Lee Neuroimage 84, 681-687, 2014 | 53 | 2014 |
Leveraging anatomical information to improve transfer learning in brain–computer interfaces M Wronkiewicz, E Larson, AKC Lee Journal of neural engineering 12 (4), 046027, 2015 | 43 | 2015 |
Pupillometry shows the effort of auditory attention switching DR McCloy, BK Lau, E Larson, KAI Pratt, AKC Lee The Journal of the Acoustical Society of America 141 (4), 2440-2451, 2017 | 41 | 2017 |