Spike Sorting is a neural signal processing technique that belongs to the class of methods used to identify and separate individual neuronal action potentials from multi-unit recordings, distinguished by its ability to attribute spikes to specific putative neurons based on waveform features and statistical clustering.
305
Publications
22.5K
Citations
984
Authors
420
Institutions
Publications per year
2017–2026
97
Publications
305
Spike sorting for large, dense electrode arrays
Cyrille Rossant, Shabnam Kadir, Dan F. M. Goodman et al. · Nature Neuroscience · 2016 · 877 citations · Full text
A Fully Automated Approach to Spike Sorting
Jason E. Chung, Jeremy F. Magland, Alex H. Barnett et al. · Neuron · 2017 · 552 citations · Full text
1–5 of 305
Authors
984
- KD
8
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- RQ
8
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- AP
8
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- TG
7
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- AH
7
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1–5 of 984
Institutions
420
University College London
London, United Kingdom
14 h-index
58 publications
12.5K citations
ETH Zurich
Zurich, Switzerland
11 h-index
41 publications
1.6K citations
Centre National de la Recherche Scientifique
Paris, France
11 h-index
25 publications
1.5K citations
Stanford University
Stanford, United States
11 h-index
58 publications
6K citations
Imperial College London
London, United Kingdom
10 h-index
32 publications
2.5K citations
Inserm
Paris, France
10 h-index
36 publications
5.8K citations
Newcastle University
Newcastle upon Tyne, United Kingdom
8 h-index
12 publications
785 citations
Columbia University
New York, United States
8 h-index
30 publications
2.3K citations
1–8 of 420
Venues
- Journal of Neuroscience Methods
35 publications · 2.9K citations
29
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- Journal of Neural Engineering
23 publications · 1.1K citations
17
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- IEEE Transactions on Neural Systems and Rehabilitation Engineering
15 publications · 702 citations
14
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- bioRxiv (Cold Spring Harbor Laboratory)
Repository · 15 publications · 1.6K citations
13
h-index
- Journal of Neurophysiology
JN · 14 publications · 2.2K citations
13
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