Slowdown of BCM plasticity with many synapses

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

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.

Citation

Froc, M., & van Rossum, M. C. W. (2019). Slowdown of BCM plasticity with many synapses. Journal of Computational Neuroscience, 46(2), 141-144. https://doi.org/10.1007/s10827-019-00715-7

• Journal Article Type: Article
• Acceptance Date: Mar 19, 2019
• Online Publication Date: Apr 5, 2019
• Publication Date: 2019-04
• Deposit Date: May 2, 2019
• Publicly Available Date: May 8, 2019
• 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
• DOI: https://doi.org/10.1007/s10827-019-00715-7
• Keywords: Sensory Systems; Cognitive Neuroscience; Cellular and Molecular Neuroscience
• Public URL: https://nottingham-repository.worktribe.com/output/2016093
• 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.
• Contract Date: May 8, 2019