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Spatially distributed dendritic resonance selectively filters synaptic input.

ABSTRACT: An important task performed by a neuron is the selection of relevant inputs from among thousands of synapses impinging on the dendritic tree. Synaptic plasticity enables this by strenghtening a subset of synapses that are, presumably, functionally relevant to the neuron. A different selection mechanism exploits the resonance of the dendritic membranes to preferentially filter synaptic inputs based on their temporal rates. A widely held view is that a neuron has one resonant frequency and thus can pass through one rate. Here we demonstrate through mathematical analyses and numerical simulations that dendritic resonance is inevitably a spatially distributed property; and therefore the resonance frequency varies along the dendrites, and thus endows neurons with a powerful spatiotemporal selection mechanism that is sensitive both to the dendritic location and the temporal structure of the incoming synaptic inputs.

SUBMITTER: Laudanski J

PROVIDER: S-EPMC4140644 | biostudies-literature | 2014 Aug

REPOSITORIES: biostudies-literature

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Spatially distributed dendritic resonance selectively filters synaptic input.

Laudanski Jonathan J Torben-Nielsen Benjamin B Segev Idan I Shamma Shihab S

PLoS computational biology 20140821 8

An important task performed by a neuron is the selection of relevant inputs from among thousands of synapses impinging on the dendritic tree. Synaptic plasticity enables this by strenghtening a subset of synapses that are, presumably, functionally relevant to the neuron. A different selection mechanism exploits the resonance of the dendritic membranes to preferentially filter synaptic inputs based on their temporal rates. A widely held view is that a neuron has one resonant frequency and thus ca ...[more]

PMID: 25144440

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Spatially distributed dendritic resonance selectively filters synaptic input.

Publications

Spatially distributed dendritic resonance selectively filters synaptic input.

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