1. Non-equilibrium dynamics of adaptation in sensory systems
- Author
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Conti, Daniele, Mora, Thierry, Laboratoire de physique de l'ENS - ENS Paris (LPENS (UMR_8023)), École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Université Paris Diderot - Paris 7 (UPD7), and Mora, Thierry
- Subjects
[SDV] Life Sciences [q-bio] ,FOS: Biological sciences ,[SDV]Life Sciences [q-bio] ,Quantitative Biology - Neurons and Cognition ,FOS: Physical sciences ,Neurons and Cognition (q-bio.NC) ,Adaptation and Self-Organizing Systems (nlin.AO) ,Nonlinear Sciences - Adaptation and Self-Organizing Systems - Abstract
Adaptation is used by biological sensory systems to respond to a wide range of environmental signals, by adapting their response properties to the statistics of the stimulus in order to maximize information transmission. We derive rules of optimal adaptation to changes in the mean and variance of a continuous stimulus in terms of Bayesian filters, and map them onto stochastic equations that couple the state of the environment to an internal variable controling the response function. We calculate numerical and exact results for the speed and accuracy of adaptation, and its impact on information transmission. We find that, in the regime of efficient adaptation, the speed of adaptation scales sublinearly with the rate of change of the environment. Finally, we exploit the mathematical equivalence between adaptation and stochastic thermodynamics to quantitatively relate adaptation to the irreversibility of the adaptation time course, defined by the rate of entropy production. Our results suggest a means to empirically quantify adaptation in a model-free and non-parametric way.
- Published
- 2020