A learning rule for dynamic recruitment and decorrelation

Neural Networks

Volumn 13, Issue 1, 2000, Pages 1-9

  Kording K P ^a   Konig P ^a  

^a Institute of Neuroinformatics Zurich   (Switzerland)

Author keywords

Backpropagating action potential; Inhibition; Learning; Oscillation; Receptive field; synaptic plasticity; Synchronization

Indexed keywords

BACKPROPAGATION; COMPUTER SYSTEMS PROGRAMMING; NEURAL NETWORKS; RESPONSE TIME (COMPUTER SYSTEMS);

LEARNING RULES; ONE-SHOT LEARNING;

LEARNING SYSTEMS;

ACTION POTENTIAL; ARTICLE; DYNAMICS; LEARNING; MODEL; NERVE CELL NETWORK; NERVE CELL PLASTICITY; OSCILLATION; PRIORITY JOURNAL; PYRAMIDAL NERVE CELL; RECEPTIVE FIELD; REFLEX RECRUITMENT; SIMULATION; SYNAPSE;

ANIMALS; HUMANS; LEARNING; NERVE NET; NEURONS; PYRAMIDAL CELLS; SYNAPSES;

EID: 0342948770     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0893-6080(99)00088-X     Document Type: Article

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