Neural Data Preprocessing is a computational procedure within brain-computer interface research that constitutes the systematic transformation and refinement of raw neural signals into a standardized, analyzable form by removing noise, correcting artifacts, and aligning temporal or spatial features to enhance downstream decoding accuracy.
129
Publications
10.7K
Citations
490
Authors
295
Institutions
Publications per year
2017–2026
66
Parents
Publications
129
Chronux: A platform for analyzing neural signals
Hemant Bokil, Peter Andrews, Jayant Kulkarni et al. · Journal of Neuroscience Methods · 2010 · 946 citations · Full text
Hand classification of fMRI ICA noise components
Ludovica Griffanti, Gwenaëlle Douaud, Janine Bijsterbosch et al. · NeuroImage · 2016 · 630 citations · Full text
1–5 of 129
Authors
490
- SC
6
h-index
- RA
5
h-index
- KJ
4
h-index
- JA
3
h-index
- RC
3
h-index
1–5 of 490
Institutions
295
Stanford University
Stanford, United States
7 h-index
33 publications
4.6K citations
Radboud University Nijmegen
Nijmegen, The Netherlands
7 h-index
9 publications
1.7K citations
McGill University
Montreal, Canada
6 h-index
12 publications
1.2K citations
Centre National de la Recherche Scientifique
Paris, France
6 h-index
6 publications
721 citations
University of Pennsylvania
Philadelphia, United States
6 h-index
10 publications
607 citations
University of Minnesota
Minneapolis, United States
5 h-index
21 publications
2.3K citations
University College London
London, United Kingdom
5 h-index
6 publications
654 citations
University of Oxford
Oxford, United Kingdom
5 h-index
16 publications
7.1K citations
1–8 of 295
Venues
- NeuroImage
14 publications · 2.1K citations
13
h-index
- bioRxiv (Cold Spring Harbor Laboratory)
Repository · 7 publications · 163 citations
7
h-index
- Journal of Neuroscience Methods
6 publications · 1.1K citations
6
h-index
- Frontiers in Neuroscience
4 publications · 91 citations
4
h-index
- Journal of Neural Engineering
3 publications · 233 citations
3
h-index
1–5