Learning the structure of correlated synaptic subgroups using stable and competitive spike-timing-dependent plasticity

Physical Review E - Statistical, Nonlinear, and Soft Matter Physics

Volumn 73, Issue 4, 2006, Pages

  Meffin, H ^a   Besson, J ^a,b   Burkitt, A N ^a,c   Grayden, D B ^a,c  

^a BIONIC EAR INSTITUTE   (Australia)

^b EPFL   (Switzerland)

^c UNIVERSITY OF MELBOURNE   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

BIMODAL DISTRIBUTION; INITIAL WEIGHT CONFIGURATION; POTENTIATION; SPIKE-TIMING-DEPENDENT PLASTICITY (STDP) MODELS;

CORRELATION THEORY; LEARNING ALGORITHMS; MATHEMATICAL MODELS; NEURAL NETWORKS; ROBUSTNESS (CONTROL SYSTEMS); STRUCTURAL ANALYSIS;

PLASTICITY;

ACTION POTENTIAL; ADAPTATION; ANIMAL; BIOLOGICAL MODEL; BIOLOGICAL RHYTHM; BRAIN; COMPUTER SIMULATION; HUMAN; LEARNING; LONG TERM POTENTIATION; NERVE CELL; NERVE CELL NETWORK; NERVE CELL PLASTICITY; PHYSIOLOGY; STATISTICS; SYNAPTIC TRANSMISSION;

ACTION POTENTIALS; ADAPTATION, PHYSIOLOGICAL; ANIMALS; BIOLOGICAL CLOCKS; BRAIN; COMPUTER SIMULATION; HUMANS; LEARNING; LONG-TERM POTENTIATION; MODELS, NEUROLOGICAL; NERVE NET; NEURONAL PLASTICITY; NEURONS; STATISTICS AS TOPIC; SYNAPTIC TRANSMISSION;

EID: 33645720066     PISSN: 15393755     EISSN: 15502376     Source Type: Journal    
DOI: 10.1103/PhysRevE.73.041911     Document Type: Article

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