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Analytic expressions for rate and CV of a type I neuron driven by white gaussian noise
B Lindner, A Longtin, A Bulsara - Neural computation, 2003 - ieeexplore.ieee.org
We study the one-dimensional normal form of a saddle-node system under the influence of
additive gaussian white noise and a static “bias current” input parameter, a model that can …
additive gaussian white noise and a static “bias current” input parameter, a model that can …
A phase model of temperature-dependent mammalian cold receptors
P Roper, PC Bressloff, A Longtin - Neural computation, 2000 - ieeexplore.ieee.org
We present a tractable stochastic phase model of the temperature sensitivity of a
mammalian cold receptor. Using simple linear dependencies of the amplitude, frequency …
mammalian cold receptor. Using simple linear dependencies of the amplitude, frequency …
Θ-Neuron, a One Dimensional Spiking Model That Reproduces in Vitro and in Vivo Spiking Characteristics of Cortical Neurons
Abstract Models in neurobiology have played a major role in our understanding of neural
information processing. Modeling strategies typically take two divergent routes: detailed …
information processing. Modeling strategies typically take two divergent routes: detailed …
[PDF][PDF] Analytic expressions for rate and CV of a type I neuron
B Lindner, A Longtin, A Bulsara - 2002 - Citeseer
We study the one-dimensional normal form of a saddle-node system under the influence of
additive Gaussian white noise and a static" bias current" input parameter, a model that can …
additive Gaussian white noise and a static" bias current" input parameter, a model that can …