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  • Search: subject:"87.19.ll Models of single neurons and networks"
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87.19.ll Models of single neurons and networks 3 87.10.-e General theory and mathematical aspects 2 87.10.Ca Analytical theories 2 87.10.Mn Stochastic modeling 2 05.40.-a Fluctuation phenomena 1 05.45.-a Nonlinear dynamics and chaos 1 87.19.lc Noise in the nervous system 1 and Brownian motion 1 noise 1 random processes 1
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Article 3
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Vidybida, A. K. 2 Augello, G. 1 Kravchuk, K. G. 1 Spagnolo, B. 1 Valenti, D. 1
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The European Physical Journal B - Condensed Matter and Complex Systems 3
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RePEc 3
Showing 1 - 3 of 3
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Output stream of binding neuron with delayed feedback
Vidybida, A. K.; Kravchuk, K. G. - In: The European Physical Journal B - Condensed Matter and … 72 (2009) 2, pp. 279-287
Persistent link: https://www.econbiz.de/10009281210
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Dynamics of a FitzHugh-Nagumo system subjected to autocorrelated noise
Valenti, D.; Augello, G.; Spagnolo, B. - In: The European Physical Journal B - Condensed Matter and … 65 (2008) 3, pp. 443-451
Persistent link: https://www.econbiz.de/10009280587
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Output stream of binding neuron with instantaneous feedback
Vidybida, A. K. - In: The European Physical Journal B - Condensed Matter and … 65 (2008) 4, pp. 577-584
The binding neuron model [A.K. Vidybida,BioSystems <Emphasis Type="Bold">48, 263 (1998)] is inspired by numerical simulation of Hodgkin-Huxley-type point neuron [A.K. Vidybida,Biol. Cybern. <Emphasis Type="Bold">74, 539 (1996)], as well as by the leaky integrate-and-fire (LIF) model [J.P. Segundo, D. Perkel, H. Wyman, H. Hegstad, G.P....</emphasis></emphasis>
Persistent link: https://www.econbiz.de/10009280897
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