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Nils Berglund MAPMO Orleans CNRS UMR

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25 pages
Stochastic models for excitable systems Nils Berglund MAPMO, Orleans (CNRS, UMR 6628) Collaborators: Barbara Gentz, Universitat Bielefeld Damien Landon, MAPMO-Orleans Simona Mancini, MAPMO-Orleans Deterministic and Stochastic Modeling in Computational Neuroscience and Other Biological Topics CRM, Barcelona, May 2009

  • hodgkin–huxley model

  • stable slow

  • potential generation

  • slow–fast systems

  • slow variable

  • spike generation

  • action potential

  • ode models


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Stochastic models
for excitable systems
Nils Berglund MAPMO,Orle´ans(CNRS,UMR6628) http://www.univ-orleans.fr/mapmo/membres/berglund/
Collaborators:Barbara Gentzefeldla¨tieiBt,Univers Damien Landonse´naO-lr,MMOAP Simona Mancinisnae´-OrlAPMO,M
Deterministic and Stochastic Modeling in Computational Neuroscience and Other Biological Topics CRM, Barcelona, May 2009
Excitable
.
.
Single
systems
neuron
communicates
by
generating
action
Excitable: small change in parameters yields spike
potential
generation
1