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• W2056131174 startingPage "e1003775" @default.
• W2056131174 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." @default.
• W2056131174 created "2016-06-24" @default.
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• W2056131174 date "2014-08-21" @default.
• W2056131174 modified "2023-10-16" @default.
• W2056131174 title "Spatially Distributed Dendritic Resonance Selectively Filters Synaptic Input" @default.
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• W2056131174 doi "https://doi.org/10.1371/journal.pcbi.1003775" @default.
• W2056131174 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/4140644" @default.
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• W2056131174 hasPublicationYear "2014" @default.
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