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Fluctuation-response relation unifies dynamical behaviors in neural fields

2014/09/30 by Chi Chung Alan Fung, C. C. Alan Fung, K. Y. Michael Wong +2 · 1 citation
Biochemistry, Genetics and Molecular Biology · Engineering · Neuroscience · Physics and Astronomy · Psychology · #Adaptation (eye) #Advanced Memory and Neural Computing #Anticipation (artificial intelligence) #Artificial intelligence #Artificial neural network #Biological neural network #Biological system #Biology #Computer science #Control theory (sociology) #Inhibitory postsynaptic potential #Machine learning #Neural dynamics and brain function #Neuroscience #Photoreceptor and optogenetics research #Physics #Psychology #Relation (database) #Spike (software development) #Statistical physics #Tracking (education) #cond-mat.dis-nn #cond-mat.stat-mech #q-bio.NC

paper · pdf · doi:10.1103/physreve.92.022801

published as Phys. Rev. E 92, 022801 (2015) · 17 pages, 9 figures

arxiv created 2015/07/14 · openalex publication_date 2015/08/05 · arxiv updated 2015/08/07 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05

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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