Cerebellar Learning Rules
Cerebellar Learning Rules is a theoretical framework in computational neuroscience that specifies the synaptic plasticity mechanisms and algorithmic principles underlying the adaptive refinement of motor coordination and sensorimotor integration within cerebellar circuits.
51
Publications
2.4K
Citations
164
Authors
90
Institutions
Publications per year
2017–2026
13
Parents
51
1–5 of 51
164
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1–5 of 164
90
University of Sheffield
Sheffield, United Kingdom
6 h-index
13 publications
825 citations
University of Southern California
Los Angeles, United States
3 h-index
5 publications
263 citations
Erasmus MC
Rotterdam, The Netherlands
3 h-index
20 publications
948 citations
University of Pavia
Pavia, Italy
3 h-index
8 publications
253 citations
Netherlands Institute for Neuroscience
Amsterdam, Netherlands
3 h-index
4 publications
173 citations
Institute for Infocomm Research
Singapore, Singapore
3 h-index
4 publications
103 citations
Fondazione Istituto Neurologico Nazionale Casimiro Mondino
Pavia, Italy
3 h-index
5 publications
99 citations
Erasmus University Rotterdam
Rotterdam, The Netherlands
3 h-index
20 publications
948 citations
1–8 of 90
3 publications · 131 citations
3
h-index
2 publications · 146 citations
2
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2 publications · 269 citations
2
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PNAS · 2 publications · 100 citations
2
h-index
2 publications · 47 citations
2
h-index
1–5