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Curr Opin Neurobiol. 2014 Apr;25:228-36. doi: 10.1016/j.conb.2014.01.017. Epub 2014 Mar 20.

Dynamical models of cortical circuits.

Author information

1
Max Planck Institute for Dynamics and Self-Organization, Göttingen, Germany; Bernstein Center for Computational Neuroscience, Göttingen, Germany; Bernstein Focus Neurotechnology, Göttingen, Germany; Faculty of Physics, Göttingen University, Göttingen, Germany. Electronic address: fred@nld.ds.mpg.de.
2
Max Planck Institute for Dynamics and Self-Organization, Göttingen, Germany; Bernstein Center for Computational Neuroscience, Göttingen, Germany; Bernstein Focus Neurotechnology, Göttingen, Germany; Faculty of Physics, Göttingen University, Göttingen, Germany.

Abstract

Cortical neurons operate within recurrent neuronal circuits. Dissecting their operation is key to understanding information processing in the cortex and requires transparent and adequate dynamical models of circuit function. Convergent evidence from experimental and theoretical studies indicates that strong feedback inhibition shapes the operating regime of cortical circuits. For circuits operating in inhibition-dominated regimes, mathematical and computational studies over the past several years achieved substantial advances in understanding response modulation and heterogeneity, emergent stimulus selectivity, inter-neuron correlations, and microstate dynamics. The latter indicate a surprisingly strong dependence of the collective circuit dynamics on the features of single neuron action potential generation. New approaches are needed to definitely characterize the cortical operating regime.

PMID:
24658059
DOI:
10.1016/j.conb.2014.01.017
[Indexed for MEDLINE]
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