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On some algorithmic and computational problems for neuronal diffusion models

  • Virginia Giorno
  • Amelia G. Nobile
  • Luigi M. Ricciardi
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 763)

Abstract

In this work we consider some one-dimensional diffusion processes arising in single neurons' activity modelling and discuss some of the related theoretical and computational first passage time problems. With reference to the Wiener and the Ornstein-Uhlenbeck processes, we outline some theoretical methods and algorithmic procedures. In particular, the relevance of the computational methods to infer about asymptotic trends of the firing pdf is pointed out.

Keywords

Neuronal Model Laplace Transform Interspike Interval Firing Time First Passage Time 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1994

Authors and Affiliations

  • Virginia Giorno
    • 1
  • Amelia G. Nobile
    • 2
  • Luigi M. Ricciardi
    • 3
  1. 1.Dipartimento di Informatica e Applicazioni dell'UniversitàSalernoItaly
  2. 2.Dipartimento di Matematica e Informatica dell'UniversitàUdineItaly
  3. 3.Dipartimento di Matematica e Applicazioni dell'UniversitàNapoliItaly

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