Decoding Neural Population Dynamics
Decoding Neural Population Dynamics is a computational framework that identifies and reconstructs the evolving patterns of coordinated neural activity across populations of neurons over time, distinguishing itself from static decoding approaches by explicitly modeling the temporal dynamics and interactions within neural ensembles.
7
Publications
388
Citations
29
Authors
24
Institutions
Publications per year
2017–2026
6
Parents
7
Stable task information from an unstable neural population
Michael E. Rule, Adrianna Loback, Dhruva V. Raman et al. · eLife · 2020 · 115 citations · Full text
Decoding locomotion from population neural activity in moving <i>C. elegans</i>.
Kelsey M. Hallinen, Ross Dempsey, Monika Scholz et al. · PubMed · 2021 · 112 citations · Full text
Life Sciences, Biology, Neuroscience +15
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Stanford University
Stanford, United States
3 h-index
5 publications
265 citations
University of Cambridge
Cambridge, United Kingdom
2 h-index
8 publications
508 citations
Harvard University
Cambridge, United States
2 h-index
2 publications
127 citations
University of California, Los Angeles
Los Angeles, United States
2 h-index
3 publications
74 citations

University Hospital Heidelberg
Heidelberg, Germany
1 h-index
2 publications
70 citations
Wellcome Centre for Human Neuroimaging
London, United Kingdom
1 h-index
1 publications
35 citations
Stanford Medicine
Stanford, United States
1 h-index
1 publications
46 citations
Central Institute of Mental Health
Mannheim, Germany
1 h-index
2 publications
70 citations
1–8 of 24
Repository · 1 publications · 12 citations
1
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Repository · 1 publications · 112 citations
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1 publications · 115 citations
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JN · 1 publications · 14 citations
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1 publications · 35 citations
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