This article has an erratum: [https://doi.org/10.1209/0295-5075/95/69901]
Volume 95, Number 4, August 2011
|Number of page(s)||6|
|Section||Interdisciplinary Physics and Related Areas of Science and Technology|
|Published online||05 August 2011|
Competing synapses with two timescales as a basis for learning and forgetting
S N Bose National Centre for Basic Sciences, Block JD, Sector III - Salt Lake, Kolkata 700 098, India
Accepted: 7 July 2011
Competitive dynamics are thought to occur in many processes of learning involving synaptic plasticity. Here we show, in a game theory-inspired model of synaptic interactions, that the competition between synapses in their weak and strong states gives rise to a natural framework of learning, with the prediction of memory inherent in a timescale for forgetting a learned signal. Among our main results is the prediction that memory is optimized if the weak synapses are really weak, and the strong synapses are really strong. Our work admits of many extensions and possible experiments to test its validity, and in particular complements an existing model of reaching, which has strong experimental support.
PACS: 89.75.-k – Complex systems / 02.50.Ey – Stochastic processes / 87.19.lv – Learning and memory
© EPLA, 2011
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