Fluctuation-response relation unifies dynamical behaviors in neural fields

C. C. Alan Fung (馮志聰), K. Y. Michael Wong (王國彝), Hongzi Mao (毛宏自), and Si Wu (吴思)
Phys. Rev. E 92, 022801 – Published 5 August 2015

Abstract

Anticipation is a strategy used by neural fields to compensate for transmission and processing delays during the tracking of dynamical information and can be achieved by slow, localized, inhibitory feedback mechanisms such as short-term synaptic depression, spike-frequency adaptation, or inhibitory feedback from other layers. Based on the translational symmetry of the mobile network states, we derive generic fluctuation-response relations, providing unified predictions that link their tracking behaviors in the presence of external stimuli to the intrinsic dynamics of the neural fields in their absence.

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  • Received 26 August 2014
  • Revised 28 May 2015

DOI:https://doi.org/10.1103/PhysRevE.92.022801

©2015 American Physical Society

Authors & Affiliations

C. C. Alan Fung (馮志聰)1, K. Y. Michael Wong (王國彝)1,*, Hongzi Mao (毛宏自)1, and Si Wu (吴思)2,†

  • 1Department of Physics, The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong, China
  • 2State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China

  • *Corresponding author: phkywong@ust.hk
  • Corresponding author: wusi@bnu.edu.cn

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Vol. 92, Iss. 2 — August 2015

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