Spatially distributed dendritic resonance selectively filters synaptic input.

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 mechan...

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Main Authors: Jonathan Laudanski, Benjamin Torben-Nielsen, Idan Segev, Shihab Shamma
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2014-08-01
Series:PLoS Computational Biology
Online Access:http://europepmc.org/articles/PMC4140644?pdf=render
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author Jonathan Laudanski
Benjamin Torben-Nielsen
Idan Segev
Shihab Shamma
author_facet Jonathan Laudanski
Benjamin Torben-Nielsen
Idan Segev
Shihab Shamma
author_sort Jonathan Laudanski
collection DOAJ
description 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.
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spelling doaj.art-a2b8e6aec2924b4c9f03d48e81d8a1342022-12-22T00:00:21ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582014-08-01108e100377510.1371/journal.pcbi.1003775Spatially distributed dendritic resonance selectively filters synaptic input.Jonathan LaudanskiBenjamin Torben-NielsenIdan SegevShihab ShammaAn 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.http://europepmc.org/articles/PMC4140644?pdf=render
spellingShingle Jonathan Laudanski
Benjamin Torben-Nielsen
Idan Segev
Shihab Shamma
Spatially distributed dendritic resonance selectively filters synaptic input.
PLoS Computational Biology
title Spatially distributed dendritic resonance selectively filters synaptic input.
title_full Spatially distributed dendritic resonance selectively filters synaptic input.
title_fullStr Spatially distributed dendritic resonance selectively filters synaptic input.
title_full_unstemmed Spatially distributed dendritic resonance selectively filters synaptic input.
title_short Spatially distributed dendritic resonance selectively filters synaptic input.
title_sort spatially distributed dendritic resonance selectively filters synaptic input
url http://europepmc.org/articles/PMC4140644?pdf=render
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AT shihabshamma spatiallydistributeddendriticresonanceselectivelyfilterssynapticinput