Stochastical aspects of neuronal dynamic
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D. De Groff; P. S. Neelakanta; R. Sudhakar; V. Aalo
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Article
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1993
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Springer-Verlag
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English
โ 869 KB
The stochastical aspects of noise-perturbed neuronal dynamics are studied via the Fokker-Planck equation by considering the Langevin-type relaxational, nonlinear process associated with neuronal states. On the basis of a canonical, stochastically driven, dichotomous state modeling, the equilibrium c