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Optimality in synaptic plasticity and neural response from an information theoretical viewpoint| old_uid | 399 |
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| title | Optimality in synaptic plasticity and neural response from an information theoretical viewpoint |
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| start_date | 2005/12/20 |
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| schedule | 16h |
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| online | no |
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| summary | We studied the hypothesis that synaptic dynamics is controlled by three basic principles: (A) Synapses adapt their efficacies so that
neurons can effectively transmit information; (B) homeostatic processes stabilize the mean firing rate of the postsynaptic neuron; and (C) weak synapses adapt more slowly than strong ones, while maintenance of strong synapses is costly. Our results show that a synaptic update rule derived from these principles shares features with Bienenstock-Cooper-Munro rule and spike-timing dependent dlasticity. Moreover, input selectivity (sharply tuned receptive fields) of postsynaptic neurons develops only if stimuli with strong features are presented and sharply tuned neurons can co-exist with unselective ones. The formulation of synaptic dynamics through an optimality criterion provides a simple graphical argument for the stability of synapses, necessary for synaptic memory. |
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| oncancel | Attention : changement d’horaire |
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| responsibles | Gutkin |
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