Computational consequences of temporally asymmetric learning rules: I. Differential Hebbian learning

Journal of Computational Neuroscience

Volumn 7, Issue 3, 1999, Pages 235-246

  Roberts, Patrick D ^a  

^a Neurological Sciences Institute   (United States)

Author keywords

Classical conditioning; Instability; Learning rule; Synaptic plasticity

Indexed keywords

COMPUTATION THEORY; STOCHASTIC SYSTEMS;

ANTI-SYMMETRIC; ASYMMETRIC LEARNING; CLASSICAL CONDITIONING; COMPUTATIONAL CONSEQUENCES; HEBBIAN LEARNING; LEARNING RULES; PRESYNAPTIC; STOCHASTIC-MODELING; SYNAPTIC PLASTICITY; TEMPORAL LEARNING;

STOCHASTIC MODELS;

ARTICLE; COMPUTER SIMULATION; CONDITIONING; LEARNING; MATHEMATICAL ANALYSIS; NERVE CELL; NERVE CELL PLASTICITY; PHYSIOLOGY; PRIORITY JOURNAL; STOCHASTIC MODEL; TIME;

EID: 0032696609     PISSN: 09295313     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1008910918445     Document Type: Article

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