Spatially distributed dendritic resonance selectively filters synaptic input

PLoS Comput Biol. 2014 Aug 21;10(8):e1003775. doi: 10.1371/journal.pcbi.1003775. eCollection 2014 Aug.


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 types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Computational Biology
  • Dendrites / physiology*
  • Ion Channels / physiology
  • Models, Neurological*
  • Neuronal Plasticity / physiology
  • Neurons / physiology
  • Synapses / physiology*


  • Ion Channels