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System identification for chaotic integrate-and-fire dynamics

✍ Scribed by Tim Sauer

Publisher
John Wiley and Sons
Year
1997
Tongue
English
Weight
110 KB
Volume
12
Category
Article
ISSN
0884-8173

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✦ Synopsis

We discuss applications of the fact that dynamical state information can be reconstructed from a series of interspike interval (ISI) measurements. This system analysis allows system identification and prediction from spike train history. Secondly, using this reconstruction, unstable periodic trajectories of the underlying system can be controlled by small changes in a system parameter. The underlying assumption is an integrate-and-fire model coupling the dynamical system to the observable spike train.

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