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• W2070297944 abstract "Finite-sized populations of spiking elements are fundamental to brain function but also are used in many areas of physics. Here we present a theory of the dynamics of finite-sized populations of spiking units, based on a quasirenewal description of neurons with adaptation. We derive an integral equation with colored noise that governs the stochastic dynamics of the population activity in response to time-dependent stimulation and calculate the spectral density in the asynchronous state. We show that systems of coupled populations with adaptation can generate a frequency band in which sensory information is preferentially encoded. The theory is applicable to fully as well as randomly connected networks and to leaky integrate-and-fire as well as to generalized spiking neurons with adaptation on multiple time scales." @default.
• W2070297944 created "2016-06-24" @default.
• W2070297944 creator A5003480477 @default.
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• W2070297944 date "2014-12-01" @default.
• W2070297944 modified "2023-10-03" @default.
• W2070297944 title "Fluctuations and information filtering in coupled populations of spiking neurons with adaptation" @default.
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• W2070297944 doi "https://doi.org/10.1103/physreve.90.062704" @default.
• W2070297944 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/25615126" @default.
• W2070297944 hasPublicationYear "2014" @default.
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