A triplet spike-timing-dependent plasticity model generalizes the Bienenstock-Cooper-Munro rule to higher-order spatiotemporal correlations

Proceedings of the National Academy of Sciences of the United States of America

Volumn 108, Issue 48, 2011, Pages 19383-19388

  Gjorgjieva, Julijana ^a,f   Clopath, Claudia ^b   Audet, Juliette ^c   Pfister, Jean Pascal ^d,e  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^b UNIVERSITÉ PARIS DESCARTES   (France)

^c EPFL   (Switzerland)

^d UNIVERSITY OF BERN   (Switzerland)

^e UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^f HARVARD UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; BIENENSTOCK COOPER MUNRO RULE; CORRELATION ANALYSIS; LINEAR SYSTEM; MACHINE LEARNING; MATHEMATICAL MODEL; NERVE CELL NETWORK; NERVE CELL PLASTICITY; ORIENTATION; POSTSYNAPTIC POTENTIAL; PRESYNAPTIC POTENTIAL; PRIORITY JOURNAL; PROBABILITY; SPIKE TIMING DEPENDENT PLASTICITY MODEL; SPIKE WAVE; SYNAPTIC INHIBITION; SYNAPTIC TRANSMISSION; VISUAL CORTEX;

ACTION POTENTIALS; COMPUTER SIMULATION; MODELS, NEUROLOGICAL; NEURONAL PLASTICITY; NEURONS; SYNAPTIC TRANSMISSION; TIME FACTORS;

EID: 82755167950     PISSN: 00278424     EISSN: 10916490     Source Type: Journal    
DOI: 10.1073/pnas.1105933108     Document Type: Article

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