Behavioral Time Scale Plasticity
Behavioral Time Scale Plasticity is a computational learning framework in neuroscience that extends spike-timing-dependent plasticity by integrating synaptic changes over behavioral timescales, thereby enabling neurons to associate events separated by seconds rather than milliseconds.
72
Publications
4.9K
Citations
271
Authors
141
Institutions
Publications per year
2017–2026
18
Variants
Btsp
Parents
72
Behavioral time scale synaptic plasticity underlies CA1 place fields
Aaron D. Milstein, Christine Grienberger, Sandro Romani et al. · Science · 2017 · 779 citations · Full text
Learning in the Fast Lane: New Insights into Neuroplasticity
Yaniv Sagi, Ido Tavor, Shir Hofstetter et al. · Neuron · 2012 · 533 citations · Full text
Medicine, Neurobiology, Neuroscience +14
1–5 of 72
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Max Planck Florida Institute for Neuroscience, United States
2 publications · 50 citations
2
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2
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1–5 of 271
141
Columbia University
New York, United States
4 h-index
12 publications
996 citations
Stanford University
Stanford, United States
3 h-index
5 publications
1.6K citations
Boston University
Boston, United States
3 h-index
4 publications
414 citations
University of California, Davis
Davis, United States
3 h-index
7 publications
389 citations

Norwegian University of Life Sciences
Ås, Norway
3 h-index
7 publications
610 citations
Harvard University
Cambridge, United States
2 h-index
6 publications
357 citations

University of Ottawa
Ottawa, Canada
2 h-index
4 publications
147 citations
University of California, Los Angeles
Los Angeles, United States
2 h-index
4 publications
70 citations
1–8 of 141
6 publications · 265 citations
6
h-index
6 publications · 1.2K citations
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Repository · 3 publications · 54 citations
3
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2 publications · 113 citations
2
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2 publications · 177 citations
2
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