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Noise in integrate-and-fire models of neuronal dynamics

  • Petr Lánsky
  • Vera Lánská
Part I: Coding and Learning in Biology
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1327)

Abstract

The sequence of action potentials produced by a neuron is best characterized in terms of a stochastic point process. In this contribution we will be primarily concerned with different variants of stochastic leaky-integrator models for the membrane potential. The point process representation is then achieved by the first passage time transformation of the underlying membrane potential model. Different sources of the noise in the diffusion neuronal models resulting from the stochastic leaky-integrator model will be discussed.

Keywords

Neuronal Model Reversal Potential Interspike Interval Trigger Zone Inhibitory Postsynaptic Potential 
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 1997

Authors and Affiliations

  • Petr Lánsky
    • 1
  • Vera Lánská
    • 2
  1. 1.Institute of PhysiologyAcademy of Sciences of the Czech RepublicPrague 4Czech Republic
  2. 2.Institute for Clinical and Experimental MedicinePrague 4Czech Republic

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