Chapter: Stochastic Dynamic Bifurcations and Excitability

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Home > Stochastic Methods in Neuroscience > Stochastic Dynamic Bifurcations and Excitability

Stochastic Methods in Neuroscience |

Carlo Laing; Gabriel J Lord

Oxford University Press

Stochastic Dynamic Bifurcations and Excitability

Chapter Info

Authors

Nils Berglund; Barbara Gentz

ARI Id

1667686547039_16176662

Access

Not Available Free

Chapter URL

https://academic.oup.com/book/6207/chapter/149824878

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Chapters/Headings	Author(s)	Pages	Info
Front Matter
Copyright Page
Introduction
Nomenclature
List of Contributors
A Brief Introduction to Some Simple Stochastic Processes	Benjamin Lindner
Markov Chain Models of Ion Channels and Calcium Release Sites	Jeffrey R. Groff
Stochastic Dynamic Bifurcations and Excitability	Nils Berglund; Barbara Gentz
Neural Coherence and Stochastic Resonance	André Longtin
Noisy Oscillators	Bard Ermentrout
The Role of Variability in Populations of Spiking Neurons	Brent Doiron
Population Density Methods in Large-Scale Neural Network Modelling	Daniel Tranchina
A Population Density Model of the Driven LGN/PGN	Marco A. Huertasand; Gregory D. Smith
Synaptic ‘Noise’: Experiments, Computational Consequences and Methods to Analyse Experimental Data	Alain Destexhe; Michelle Rudolph-Lilith
Statistical Models of Spike Trains	Liam Paninski
Stochastic Simulation of Neurons, Axons, and Action Potentials	A. Aldo Faisal
Numerical Simulations of SDEs and SPDEs From Neural Systems Using	Hasan Alzubaidi
End Matter
Index
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