Complete Mean-Field Theory for Dynamics of Binary Recurrent Networks

Farzad Farkhooi and Wilhelm Stannat
Phys. Rev. Lett. 119, 208301 – Published 14 November 2017
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Abstract

We develop a unified theory that encompasses the macroscopic dynamics of recurrent interactions of binary units within arbitrary network architectures. Using the martingale theory, our mathematical analysis provides a complete description of nonequilibrium fluctuations in networks with a finite size and finite degree of interactions. Our approach allows the investigation of systems for which a deterministic mean-field theory breaks down. To demonstrate this, we uncover a novel dynamic state in which a recurrent network of binary units with statistically inhomogeneous interactions, along with an asynchronous behavior, also exhibits collective nontrivial stochastic fluctuations in the thermodynamical limit.

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  • Received 28 April 2017

DOI:https://doi.org/10.1103/PhysRevLett.119.208301

© 2017 American Physical Society

Physics Subject Headings (PhySH)

Statistical Physics & ThermodynamicsPhysics of Living SystemsNetworksInterdisciplinary Physics

Authors & Affiliations

Farzad Farkhooi1,2 and Wilhelm Stannat1,2

  • 1Institut für Mathematik, Technische Universität Berlin, 10623 Berlin,Germany
  • 2Bernstein Center for Computational Neuroscience, 10115 Berlin, Germany

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Issue

Vol. 119, Iss. 20 — 17 November 2017

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