Single neuron dynamics and computation |
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Affiliation: | 1. IBM T.J. Watson Research Center, Yorktown Heights, NY, United States;2. Columbia University, New York, NY, United States;3. University of York, York, United Kingdom;4. Heidelberg University, Heidelberg, Germany |
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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. |
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