Adaptive leaky integrator models of cerebellar Purkinje cells can learn the clustering of temporal patterns

Neurocomputing

Volumn 26-27, Issue , 1999, Pages 271-276

  Steuber, Volker ^a   Willshaw, David J ^a  

^a UNIVERSITY OF EDINBURGH   (United Kingdom)

Author keywords

Cerebellum; Purkinje cells; Synaptic delays; Temporal coding

Indexed keywords

CELLS; COMPUTER SIMULATION; LEARNING SYSTEMS; NEURAL NETWORKS; VECTORS;

CEREBELLUM; PURKINJE CELLS; SYNAPTIC DELAYS; TEMPORAL CODING;

BRAIN;

ARTICLE; ARTIFICIAL NEURAL NETWORK; POSTSYNAPTIC INHIBITION; PRIORITY JOURNAL; PURKINJE CELL; SIGNAL PROCESSING; SYNAPTIC TRANSMISSION; TEMPORAL LOBE; TEMPORAL SUMMATION;

EID: 0032850963     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0925-2312(99)00021-1     Document Type: Article

References (6)

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6. V. Steuber, D.J. Willshaw, How a single Purkinje cell could learn the adaptive timing of the classically conditioned eye-blink response, in: W. Gerstner (Ed.), Proceedings. of the Seventh International Conference on Artificial Neural Networks, Lecture Notes in Computer Science, vol. 1327, Springer, Berlin, 1997, pp.115-120.