Perceptron learning rule derived from spike-frequency adaptation and spike-time-dependent plasticity

Proceedings of the National Academy of Sciences of the United States of America

Volumn 107, Issue 10, 2010, Pages 4722-4727

  D'Souza, Prashanth ^a   Liu, Shih Chii ^a   Hahnloser, Richard H R ^a  

^a UNIVERSITY OF ZURICH   (Switzerland)

Author keywords

Delta learning rule; Hebbian learning; Sensory fusion; Supervised; Synaptic potentiation

Indexed keywords

ADAPTATION; ANIMAL EXPERIMENT; ARTICLE; AUDITORY NERVOUS SYSTEM; AUDITORY STIMULATION; BRAIN FUNCTION; INFERIOR COLLICULUS; INFORMATION PROCESSING; LEARNING; MATHEMATICAL ANALYSIS; NERVE CELL PLASTICITY; NONHUMAN; OWL; PERCEPTRON; PRIORITY JOURNAL; SPIKE; SYNAPSE; SYNAPTIC SPIKE TIME DEPENDENT PLASTICITY; TUNING CURVE; VISUAL STIMULATION;

ACTION POTENTIALS; ADAPTATION, PHYSIOLOGICAL; ALGORITHMS; ANIMALS; AUDITORY PERCEPTION; BRAIN MAPPING; INFERIOR COLLICULI; LEARNING; MEMBRANE POTENTIALS; MESENCEPHALON; MODELS, NEUROLOGICAL; NEURAL NETWORKS (COMPUTER); NEURONAL PLASTICITY; NEURONS; STRIGIFORMES; VISUAL PERCEPTION;

TYTONIDAE;

EID: 77949531669     PISSN: 00278424     EISSN: 10916490     Source Type: Journal    
DOI: 10.1073/pnas.0909394107     Document Type: Article

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