Cerebellar Learning: A Possible Phase Switch in Evolution
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.
W. L. Dunin-Barkowski and D. C. Wunsch, "Cerebellar Learning: A Possible Phase Switch in Evolution," Proceedings of the International Joint Conference on Neural Networks, vol. 1, pp. 21-26, Institute of Electrical and Electronics Engineers (IEEE), Jan 1999.
The definitive version is available at https://doi.org/10.1109/IJCNN.1999.831449
International Joint Conference on Neural Networks (IJCNN'99) (1999: Jul. 10-16, Washington, DC)
Electrical and Computer Engineering
International Standard Serial Number (ISSN)
Article - Conference proceedings
© 1999 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.