University of Hertfordshire

Spatially distributed dendritic resonance selectively filters synaptic input

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    Final published version, 2.31 MB, PDF document

  • Jonathan Laudanski
  • Ben Torben-Nielsen
  • Idan Segev
  • Shihab Shamma
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Original languageEnglish
Article numbere1003775
Number of pages10
JournalPLoS Computational Biology
Publication statusPublished - Aug 2014


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.


© 2014 Laudanski et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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