A learning rule for the emergence of stable dynamics and timing in recurrent networks

Journal of Neurophysiology

Volumn 94, Issue 4, 2005, Pages 2275-2283

  Buonomano, Dean V ^a,b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; DYNAMICS; LONG TERM POTENTIATION; MATHEMATICAL MODEL; NERVE CELL; NERVE CELL NETWORK; NERVE CELL PLASTICITY; NERVE CONDUCTION; OSCILLATION; PRIORITY JOURNAL; SPATIAL ORIENTATION; TIME PERCEPTION;

ACTION POTENTIALS; ANIMALS; CEREBRAL CORTEX; COMPUTER SIMULATION; ELECTRIC STIMULATION; LEARNING; MODELS, NEUROLOGICAL; NERVE NET; NONLINEAR DYNAMICS; SYNAPSES; TIME FACTORS;

EID: 24944576579     PISSN: 00223077     EISSN: None     Source Type: Journal    
DOI: 10.1152/jn.01250.2004     Document Type: Article

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