Neuronal Signal Transduction Aided by Noise at Threshold and at Saturation

A classical model of neuronal signal transmission describing the presence of both a threshold and a saturation in the neuron response is considered. This model is used to analyze the transduction by the neuron of various types of information-carrying input signals in the presence of noise. Improvement by noise of the performance via stochastic resonance is established for transmission in both the threshold and the saturation regimes. Stochastic resonance at saturation is a novel form, expressing that the distortion experienced by large input signals transmitted at saturation, can be reduced by addition of noise.

[1]  L. M. Ward,et al.  Stochastic resonance and sensory information processing: a tutorial and review of application , 2004, Clinical Neurophysiology.

[2]  Lutz Schimansky-Geier,et al.  Maximizing spike train coherence or incoherence in the leaky integrate-and-fire model. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.

[3]  A. Longtin.  Stochastic resonance in neuron models , 1993 .

[4]  François Chapeau-Blondeau,et al.  Noise-enhanced transmission of spike trains in the neuron , 1996 .

[5]  François Chapeau-Blondeau,et al.  Theory of stochastic resonance in signal transmission by static nonlinear systems , 1997 .

[6]  Carson C. Chow,et al.  Aperiodic stochastic resonance in excitable systems. , 1995, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[7]  A. Bulsara,et al.  Stochastic resonance in a single neuron model: theory and analog simulation. , 1991, Journal of theoretical biology.

[8]  M. Markus,et al.  On-off intermittency and intermingledlike basins in a granular medium. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.

[9]  Wilson C. K. Poon,et al.  Phase behavior and crystallization kinetics of PHSA-coated PMMA colloids , 2003 .

[10]  Vivien A. Casagrande,et al.  Biophysics of Computation: Information Processing in Single Neurons , 1999 .

[11]  François Chapeau-Blondeau,et al.  Dynamic Properties of A Biologically Motivated Neural Network Model , 1992, Int. J. Neural Syst..

[12]  François Chapeau-Blondeau,et al.  Nonlinear Signal Propagation Enhanced by noise via Stochastic Resonance , 2000, Int. J. Bifurc. Chaos.

[13]  Carson C. Chow,et al.  Aperiodic stochastic resonance. , 1996, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[14]  F. Chapeau-Blondeau,et al.  Stochastic resonance for nonlinear sensors with saturation. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

[15]  W. Stacey,et al.  Stochastic resonance improves signal detection in hippocampal CA1 neurons. , 2000, Journal of neurophysiology.

[16]  Kazuyuki Aihara,et al.  Stochastic Resonance and Coincidence Detection in Single Neurons , 2002, Neural Processing Letters.

[17]  Christof Koch,et al.  Biophysics of Computation: Information Processing in Single Neurons (Computational Neuroscience Series) , 1998 .

[18]  John P. Miller,et al.  Broadband neural encoding in the cricket cereal sensory system enhanced by stochastic resonance , 1996, Nature.

[19]  Frank Moss,et al.  Noise enhancement of information transfer in crayfish mechanoreceptors by stochastic resonance , 1993, Nature.

[20]  Thomas T. Imhoff,et al.  Noise-enhanced information transmission in rat SA1 cutaneous mechanoreceptors via aperiodic stochastic resonance. , 1996, Journal of neurophysiology.

[21]  S. -. Lee,et al.  Parameter dependence of stochastic resonance in the stochastic Hodgkin-Huxley neuron. , 1999, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[22]  Chapeau-Blondeau,et al.  Stochastic resonance in a neuron model that transmits spike trains. , 1996, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.