Spectral analysis of input spike trains by spike-timing-dependent plasticity

PLoS Computational Biology

Volumn 8, Issue 7, 2012, Pages

  Gilson, Matthieu ^a,b   Fukai, Tomoki ^a   Burkitt, Anthony N ^b,c  

^a RIKEN BRAIN SCIENCE INSTITUTE   (Japan)

^b UNIVERSITY OF MELBOURNE   (Australia)

^c Bionics Institute   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

INDEPENDENT COMPONENT ANALYSIS; NEURAL NETWORKS; PRINCIPAL COMPONENT ANALYSIS; SPECTRUM ANALYSIS; TIMING CIRCUITS;

BRAIN AREAS; COMPONENT ANALYSIS; INPUT CORRELATION; INPUT SPIKE TRAIN; SENSORY CORTICES; SPECTRAL COMPONENTS; SPIKE TIMING DEPENDENT PLASTICITIES; SPIKE TRAIN; SYNAPTIC CONNECTIONS; TIME-SCALES;

NEURONS;

ALGORITHM; ARTICLE; COVARIANCE; EXCITATORY POSTSYNAPTIC POTENTIAL; INDEPENDENT COMPONENT ANALYSIS; KERNEL METHOD; LONG TERM DEPRESSION; LONG TERM POTENTIATION; NERVE CELL NETWORK; NERVE CELL PLASTICITY; POISSON DISTRIBUTION; PRINCIPAL COMPONENT ANALYSIS; PROBABILITY; SPIKE TIMING DEPENDENT PLASTICITY;

EID: 84864582865     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1002584     Document Type: Article

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