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Single neuron dynamics and computation
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Brunel, Nicolas, Hakim, Vincent and Richardson, Magnus J. E. (2014) Single neuron dynamics and computation. Current Opinion in Neurobiology, Volume 25 . pp. 149-155. doi:10.1016/j.conb.2014.01.005 ISSN 0959-4388.
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Official URL: http://dx.doi.org/10.1016/j.conb.2014.01.005
Abstract
At the single neuron level, information processing involves the transformation of input spike trains into an appropriate output spike train. Building upon the classical view of a neuron as a threshold device, models have been developed in recent years that take into account the diverse electrophysiological make-up of neurons and accurately describe their input-output relations. Here, we review these recent advances and survey the computational roles that they have uncovered for various electrophysiological properties, for dendritic arbor anatomy as well as for short-term synaptic plasticity.
Item Type: | Journal Article | ||||||||||
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Divisions: | Faculty of Science, Engineering and Medicine > Research Centres > Warwick Systems Biology Centre | ||||||||||
Journal or Publication Title: | Current Opinion in Neurobiology | ||||||||||
Publisher: | Elsevier Science BV | ||||||||||
ISSN: | 0959-4388 | ||||||||||
Official Date: | 1 April 2014 | ||||||||||
Dates: |
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Volume: | Volume 25 | ||||||||||
Page Range: | pp. 149-155 | ||||||||||
DOI: | 10.1016/j.conb.2014.01.005 | ||||||||||
Status: | Peer Reviewed | ||||||||||
Publication Status: | Published | ||||||||||
Access rights to Published version: | Restricted or Subscription Access |
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