A Wiener neuronal model with refractoriness

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3643 LNCS, Issue , 2005, Pages 416-425

  Giorno, Virginia ^a   Nobile, Amelia G ^a   Ricciardi, Luigi M ^b  

^a UNIVERSITY OF SALERNO   (Italy)

^b UNIVERSITY OF NAPLES FEDERICO II   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL MEMBRANES; MATHEMATICAL MODELS; RANDOM PROCESSES;

MEMBRANE POTENTIAL; RANDOM REFRACTORINESS; WIENER NEURONAL MODEL;

NEUROLOGY;

EID: 33646014743     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11556985_55     Document Type: Conference Paper

References (6)

1. Cox, D.R. and Miller, H.D.: The Theory of Stochastic Processes. Methuen, London (1970)
2. Esposito, G., Giorno, V., Nobile, A.G., Ricciardi, L.M., Valerio, C.: Interspike analysis for a single neuron's activity in presence of refractoriness. In Trappl, R. (ed.): Cybernetics and Systems. Vol. 1. Austrian Society for Cybernetics Studies, Vienna (2004) 199-204
3. Gerstein, G.L., Mandelbrot, B.: Random walk models for the spike activity of a single neuron. Biophys. J. 4 (1964) 41-68
4. Giorno, V., Nobile, A.G. and Ricciardi, L.M.: On the moments of firing numbers in diffusion neuronal models with refractoriness. In: Mira, J. and Alvarez, J.R. (eds): IWINAC 2005. LNCS 3561 Springer-Verlag (2005) 188-196
5. Ricciardi, L.M., Di Crescenzo, A., Giorno,; V., Nobile, A.G.: An outline of theoretical and algorithmic approaches to first passage time problems with applications to biological modeling. Math. Japonica 50, No. 2 (1999) 247-322
6. Ricciardi, L.M., Esposito, G., Giorno, V., Valerio, C.: Modeling Neuronal Firing in the Presence of Refractoriness. In Mira, J., Alvarez, J.R. (eds): Computational Methods in Neural Modeling. IWANN 2003. LNCS 2686 Springer-Verlag (2003) 1-8