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Volumn 31, Issue 4-5, 2000, Pages 175-180

A dynamical system for the approximate moments of nonlinear stochastic models of spiking neurons and networks

Author keywords

Neuronal modeling; Spiking neurons; Stochastic

Indexed keywords


EID: 0034143325     PISSN: 08957177     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0895-7177(00)00036-4     Document Type: Conference Paper
Times cited : (14)

References (15)
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  • 3
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  • 4
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    • Spike propagation during the refractory period in the stochastic Hodgkin-Huxley model
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    • Horikawa, Y.1
  • 5
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    • Bifurcation phenomena in Fitzhugh's nerve conduction equations
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  • 7
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    • On the randomly perturbed reduced Fitzhugh-Nagumo equation
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    • Tuckwell, H.C.1
  • 8
    • 0000816581 scopus 로고    scopus 로고
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    • Loreto, V.1    Paladin, G.2    Vulpiani, A.3
  • 9
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    • Metastable states in a nonlinear stochastic model
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  • 11
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    • Coupled Hodgkin Husley neurons with stochastic synaptic inputs
    • Kluwer, Amsterdam
    • R. Rodriguez, Coupled Hodgkin Husley neurons with stochastic synaptic inputs, In Modern Group Theoretical Methods in Physics, pp. 233-242, Kluwer, Amsterdam, (1995).
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  • 13
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  • 15
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    • Analytical and simulation results for stochastic Fitzhugh Nagumo neurons and neural networks
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.