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The Kanerva memory is stable

Chiueh, Tzi-Dar and Goodman, Rodney M. (1991) The Kanerva memory is stable. In: IJCNN-91-Seattle International Joint Conference on Neural Networks. Vol.2. IEEE , Piscataway, NJ, pp. 267-271. ISBN 0780301641. https://resolver.caltech.edu/CaltechAUTHORS:20190314-142000942

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Abstract

The Kanerva memory is a simple yet important model of the cerebellar cortex. Its power has been demonstrated by its huge storage capacity as an associative memory. In the present work, the Kanerva memory is briefly introduced and it is shown to be asymptotically stable in both the parallel update and sequential update modes. Its asymptotic stability is proved by introducing a Lyapunov function and showing that the function follows a descent trajectory as the Kanerva memory evolves.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
https://doi.org/10.1109/ijcnn.1991.155349DOIArticle
Additional Information:© 1991 IEEE. Tzi-Dar Chiueh would like to thank the support given by the National Science Council, Taiwan, ROC under Grant NSC-79-0404-E-002-46.
Funders:
Funding AgencyGrant Number
National Science Council (Taipei)NSC-79-0404-E-002-46
Record Number:CaltechAUTHORS:20190314-142000942
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20190314-142000942
Official Citation:T. -. Chiueh and R. M. Goodman, "The Kanerva memory is stable," IJCNN-91-Seattle International Joint Conference on Neural Networks, Seattle, WA, USA, 1991, pp. 267-271 vol.2. doi: 10.1109/IJCNN.1991.155349
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:93838
Collection:CaltechAUTHORS
Deposited By: George Porter
Deposited On:14 Mar 2019 21:52
Last Modified:03 Oct 2019 20:58

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