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        Spatially distributed dendritic resonance selectively filters synaptic input

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        907196.pdf (PDF, 2Mb)
        Author
        Laudanski, Jonathan
        Torben-Nielsen, Ben
        Segev, Idan
        Shamma, Shihab
        Attention
        2299/16735
        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.
        Publication date
        2014-08
        Published in
        PLoS Computational Biology
        Published version
        https://doi.org/10.1371/journal.pcbi.1003775
        Other links
        http://hdl.handle.net/2299/16735
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