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A phase model of temperature-dependent mammalian cold receptors

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Title: A phase model of temperature-dependent mammalian cold receptors
Authors: Roper, P
Bressloff, PC
Longtin, A
Item Type: Journal Article
Abstract: We present a tractable stochastic phase model of the temperature sensitivity of a mammalian cold receptor. Using simple linear dependencies of the amplitude, frequency, and bias on temperature, the model reproduces the experimentally observed transitions between bursting, beating, and stochastically phase-locked firing patterns. We analyze the model in the deterministic limit and predict, using a Strutt map, the number of spikes per burst for a given temperature. The inclusion of noise produces a variable number of spikes per burst and also extends the dynamic range of the neuron, both of which are analyzed in terms of the Strutt map. Our analysis can be readily applied to other receptors that display various bursting patterns following temperature changes.
Issue Date: May-2000
Date of Acceptance: 14-Jun-1999
URI: http://hdl.handle.net/10044/1/112076
DOI: 10.1162/089976600300015510
ISSN: 0899-7667
Publisher: Massachusetts Institute of Technology Press
Start Page: 1067
End Page: 1093
Journal / Book Title: Neural Computation
Volume: 12
Issue: 5
Copyright Statement: © 2000 Massachusetts Institute of Technology Peter Roper, Paul C. Bressloff, André Longtin; A Phase Model of Temperature-Dependent Mammalian Cold Receptors. Neural Comput 2000; 12 (5): 1067–1093. doi: https://doi.org/10.1162/089976600300015510
Publication Status: Published
Online Publication Date: 2000-05-01
Appears in Collections:Applied Mathematics and Mathematical Physics
Mathematics