A computational framework for cortical learning

Biological Cybernetics

Volumn 90, Issue 6, 2004, Pages 400-409

  Suri, Roland E ^a  

^a NONE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; CYBERNETICS; FUNCTIONS; NEUROPHYSIOLOGY; PHYSIOLOGICAL MODELS; REGRESSION ANALYSIS;

CORTICAL LEARNING; SPIKE-TIMING-DEPENDENT PLASTICITY (STDP); SYNAPTIC STRENGTHS; TEMPORALLY ASYMMETRIC HEBBIAN (TAH);

LEARNING SYSTEMS;

ACTION POTENTIAL; ALGORITHM; ANIMAL; ARTICLE; ARTIFICIAL NEURAL NETWORK; BRAIN CORTEX; EXCITATORY POSTSYNAPTIC POTENTIAL; HUMAN; LEARNING; NERVE CELL NETWORK; NERVE CELL PLASTICITY; NERVE TRACT; PHYSIOLOGY; PYRAMIDAL NERVE CELL; SYNAPSE; SYNAPTIC TRANSMISSION; TIME;

ACTION POTENTIALS; ALGORITHMS; ANIMALS; CEREBRAL CORTEX; EXCITATORY POSTSYNAPTIC POTENTIALS; HUMANS; LEARNING; NERVE NET; NEURAL NETWORKS (COMPUTER); NEURAL PATHWAYS; NEURONAL PLASTICITY; PYRAMIDAL CELLS; SYNAPSES; SYNAPTIC TRANSMISSION; TIME FACTORS;

EID: 16544366488     PISSN: 03401200     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00422-004-0487-1     Document Type: Article

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