Renewal theory of coupled neuronal pools: Stable states and slow trajectories

Christian Leibold
Phys. Rev. E 84, 031935 – Published 30 September 2011

Abstract

A theory is provided to analyze the dynamics of delay-coupled pools of spiking neurons based on stability analysis of stationary firing. Transitions between stable and unstable regimes can be predicted by bifurcation analysis of the underlying integral dynamics. Close to the bifurcation point the network exhibits slowly changing activities and allows for slow collective phenomena like continuous attractors.

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  • Received 15 April 2011

DOI:https://doi.org/10.1103/PhysRevE.84.031935

©2011 American Physical Society

Authors & Affiliations

Christian Leibold

  • Department Biologie II, LMU Munich, Großhadernerstrasse 2, D-82152 Planegg, Germany and Bernstein Center for Computational Neuroscience Munich, Großhadernerstrasse 2, D-82152 Planegg, Germany

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Issue

Vol. 84, Iss. 3 — September 2011

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