Cerebellar Learning: A Possible Phase Switch in Evolution

Abstract

The strength of synapses from granule cells (GrC) to Purkinje cells (PC) changes, as a function of the interval between firing of GrCs and the PC's climbing fiber (CF). Recently it has been shown that, in the case of constant and piece-wise constant signals, an adequate tuning could be provided by a phase-based memorizing system, based on the observed properties of cerebellar neurons. We now discuss the cerebellar model for general non-stationary signals.

Meeting Name

International Joint Conference on Neural Networks (IJCNN'99) (1999: Jul. 10-16, Washington, DC)

Department(s)

Electrical and Computer Engineering

International Standard Serial Number (ISSN)

1098-7576

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 1999 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

Publication Date

01 Jan 1999

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