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Slowdown of BCM plasticity with many synapses

Froc, Maxime; van Rossum, Mark C. W.

Authors

Maxime Froc

Mark C. W. van Rossum



Abstract

During neural development sensory stimulation induces long-term changes in the receptive field of the neurons that encode the stimuli. The Bienenstock-Cooper-Munro (BCM) model was introduced to model and analyze this process computationally, and it remains one of the major models of unsupervised plasticity to this day. Here we show that for some stimulus types, the convergence of the synaptic weights under the BCM rule slows down exponentially as the number of synapses per neuron increases. We present a mathematical analysis of the slowdown that shows also how the slowdown can be avoided.

Journal Article Type Article
Publication Date 2019-04
Journal Journal of Computational Neuroscience
Print ISSN 0929-5313
Electronic ISSN 1573-6873
Publisher Springer Verlag
Peer Reviewed Peer Reviewed
Volume 46
Issue 2
Pages 141-144
APA6 Citation Froc, M., & van Rossum, M. C. W. (2019). Slowdown of BCM plasticity with many synapses. Journal of Computational Neuroscience, 46(2), 141-144. doi:10.1007/s10827-019-00715-7
DOI https://doi.org/10.1007/s10827-019-00715-7
Keywords Sensory Systems; Cognitive Neuroscience; Cellular and Molecular Neuroscience
Publisher URL https://link.springer.com/article/10.1007%2Fs10827-019-00715-7
Additional Information Received: 28 August 2018; Revised: 19 March 2019; Accepted: 19 March 2019; First Online: 5 April 2019; : ; : The authors declare that they have no conflict of interest.

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