From spiking neuron models to linear-nonlinear models.
Neurons transform time-varying inputs into action potentials emitted stochastically at a time dependent rate. The mapping from current input to output firing rate is often represented with the help of phenomenological models such as the linear-nonlinear (LN) cascade, in which the output firing rate...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2011-01-01
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Series: | PLoS Computational Biology |
Online Access: | http://europepmc.org/articles/PMC3024256?pdf=render |