Spike Sorting For Decoding
Spike Sorting for Decoding is a computational method in neural signal processing that distinguishes individual neuronal action potentials from multiunit recordings to enable accurate mapping of neural activity patterns into interpretable behavioral or cognitive states.
16
Publications
1.6K
Citations
86
Authors
52
Institutions
Publications per year
2017–2026
1
Parents
16
Spike sorting for large, dense electrode arrays
Cyrille Rossant, Shabnam Kadir, Dan F. M. Goodman et al. · Nature Neuroscience · 2016 · 877 citations · Full text
Silvestro Micera, Paolo Maria Rossini, Jacopo Rigosa et al. · Journal of NeuroEngineering and Rehabilitation · 2011 · 102 citations · Full text
1–5 of 16
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Rutgers, The State University of New Jersey, United States
2 publications · 905 citations
2
h-index
1–5 of 86
52
University of California, Berkeley
Berkeley, United States
3 h-index
3 publications
1.1K citations
Center for the Neural Basis of Cognition
Pittsburgh, United States
2 h-index
6 publications
512 citations
Stanford University
Stanford, United States
2 h-index
10 publications
295 citations
NYU Langone Health
New York, United States
2 h-index
5 publications
2.7K citations

Imperial College London
London, United Kingdom
2 h-index
2 publications
905 citations
University College London
London, United Kingdom
2 h-index
10 publications
6.2K citations
Consejo Superior de Investigaciones Científicas
Madrid, Spain
1 h-index
1 publications
43 citations
Wuhan National Laboratory for Optoelectronics
Wuhan, China
1 h-index
1 publications
34 citations
1–8 of 52
3 publications · 167 citations
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Repository · 1 publications · 28 citations
1
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1 publications · 191 citations
1
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1 publications · 877 citations
1
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EJN · 1 publications · 19 citations
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