Slowdown of BCM plasticity with many synapses
Froc, Maxime; van Rossum, Mark C. W.
Mark C. W. van Rossum
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|
|Journal||Journal of Computational Neuroscience|
|Peer Reviewed||Peer Reviewed|
|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|
|Keywords||Sensory Systems; Cognitive Neuroscience; Cellular and Molecular Neuroscience|
|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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