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_name
J Comput Neuroscijournal_title
Journal of computational neuroscienceauthors
Froc M,van Rossum MCWdoi
10.1007/s10827-019-00715-7subject
Has Abstractpub_date
2019-04-01 00:00:00pages
141-144issue
2eissn
0929-5313issn
1573-6873pii
10.1007/s10827-019-00715-7journal_volume
46pub_type
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