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Title: Dynamical patterns underlying response properties of cortical circuits
Authors: Keane A; Henderson JA; Gong P
Year: 2018
Journal Title: The Royal Society Publishing
Volume: 15
Page number start: 20170960
Abstract: Recent experimental studies show cortical circuit responses to external stimuli display varied dynamical properties. These include stimulus strength-dependent population response patterns, a shift from synchronous to asynchronous states and a decline in neural variability. To elucidate the mechanisms underlying these response properties and explore how they are mechanistically related, we develop a neural circuit model that incorporates two essential features widely observed in the cerebral cortex. The first feature is a balance between excitatory and inhibitory inputs to individual neurons; the second feature is distance-dependent connectivity. We show that applying a weak external stimulus to the model evokes a wave pattern propagating along lateral connections, but a strong external stimulus triggers a localized pattern; these stimulus strength-dependent population response patterns are quantitatively comparable with those measured in experimental studies. We identify network mechanisms underlying this population response, and demonstrate that the dynamics of population-level response patterns can explain a range of prominent features in neural responses, including changes to the dynamics of neurons’ membrane potentials and synaptic inputs that characterize the shift of cortical states, and the stimulusevoked decline in neuron response variability. Our study provides a unified population activity pattern-based view of diverse cortical response properties, thus shedding new insights into cortical processing.
Division: Cancer Research Division
Funding Body: This work was supported by the Australian Research Council (grant nos. DP160104316, DP160104368)
DOI: 10.1098/rsif.2017.0960
URI: http://researchpubs.cancercouncil.com.au/cancercounciljspui/handle/1/1993
Appears in Collections:Research Articles

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