- Poster Presentation
- Open Access
Supra-threshold stochastic resonance in a population of stochastic Hogkin-Huxley neuron models with random ion channel gating
© Mino; licensee BioMed Central Ltd. 2010
- Published: 20 July 2010
- Mutual Information
- Spike Train
- Neuron Model
- Spike Firing
- Optimal Patch
Supra-threshold stochastic resonance (SSR) refers to a phenomenon what an optimally added noise can enhance information transmission when a supra-threshold signal is driven into an array of non-linear systems with threshold . The noise in neurons has been considered to come up from not only randomness of synaptic vesicle secretions (extrinsic fluctuations) but also stochasticity of ion channel gating (intrinsic fluctuations). However, it is still unclear whether and how those fluctuations help enhance information transmission in the case of supra-threshold input signals. The objective of this presentation was to see how randomness of ion channel gating could affect spike firing times and mutual information, and if SSR could be observed or not through computer simulations.
It follows that the mutual information was maximized at an optimal patch size in an array of stochastic HH neuron models, and therefore that SSR was observed in the presence of intrinsic fluctuations. This phenomenon may be aptly called ``intrinsic’’ SSR (ISSR). ISSR could play a key role in processing excessive input signals into sensory nervous systems.
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This article is published under license to BioMed Central Ltd.