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Nat Neurosci. 2016 Mar;19(3):350-5. doi: 10.1038/nn.4241.

Building functional networks of spiking model neurons.

Author information

1
Department of Neuroscience, Columbia University College of Physicians and Surgeons, New York, New York, USA.
2
Department of Physiology and Cellular Biophysics, Columbia University College of Physicians and Surgeons, New York, New York, USA.
3
Department for Neuroinformatics, Donders Institute for Brain Cognition and Behavior, Radboud University, Nijmegen, the Netherlands.

Abstract

Most of the networks used by computer scientists and many of those studied by modelers in neuroscience represent unit activities as continuous variables. Neurons, however, communicate primarily through discontinuous spiking. We review methods for transferring our ability to construct interesting networks that perform relevant tasks from the artificial continuous domain to more realistic spiking network models. These methods raise a number of issues that warrant further theoretical and experimental study.

PMID:
26906501
PMCID:
PMC4928643
[Available on 2017-03-01]
DOI:
10.1038/nn.4241
[Indexed for MEDLINE]
Free PMC Article

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