Literature DB >> 8445350

Stochastic dynamical aspects of neuronal activity.

P Blanchard1, P Combe, H Nencka, R Rodriguez.   

Abstract

A stochastic model of neuronal activity is proposed. Some stochastic differential equations based on jump processes are used to investigate the behavior of the membrane potential at a time scale small with respect to the neuronal states time evolution. A model for learning, implying short memory effects, is described.

Mesh：

Year:  1993        PMID： 8445350     DOI： 10.1007/bf00171226

Source DB:  PubMed          Journal:  J Math Biol        ISSN： 0303-6812            Impact factor:   2.259


  5 in total

1.  A THEORETICAL ANALYSIS OF NEURONAL VARIABILITY.

Authors:  R B STEIN
Journal:  Biophys J       Date:  1965-03       Impact factor: 4.033

2.  A logical calculus of the ideas immanent in nervous activity. 1943.

Authors:  W S McCulloch; W Pitts
Journal:  Bull Math Biol       Date:  1990       Impact factor: 1.758

3.  Collective properties of neural networks: a statistical physics approach.

Authors:  P Peretto
Journal:  Biol Cybern       Date:  1984       Impact factor: 2.086

4.  Neural networks and physical systems with emergent collective computational abilities.

Authors:  J J Hopfield
Journal:  Proc Natl Acad Sci U S A       Date:  1982-04       Impact factor: 11.205

5.  A study of synaptic transmission in the absence of nerve impulses.

Authors:  B Katz; R Miledi
Journal:  J Physiol       Date:  1967-09       Impact factor: 5.182
  5 in total
  1 in total

1.  Analytical and simulation results for stochastic Fitzhugh-Nagumo neurons and neural networks.

Authors:  H C Tuckwell; R Rodriguez
Journal:  J Comput Neurosci       Date:  1998-03       Impact factor: 1.621
  1 in total

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