Journal article
Topological analysis of chaos in neural spike train bursts
Chaos (Woodbury, N.Y.), v 9(3), pp 812-817
Sep 1999
PMID: 12779877
Abstract
We show how a topological model which describes the stretching and squeezing mechanisms responsible for creating chaotic behavior can be extracted from the neural spike train data. The mechanism we have identified is the same one (“gateau roulé,” or jelly-roll) which has previously been identified in the Duffing oscillator [Gilmore and McCallum, Phys. Rev. E 51, 935 (1995)] and in a YAG laser [Boulant et al., Phys. Rev. E 55, 5082 (1997)].
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Details
- Title
- Topological analysis of chaos in neural spike train bursts
- Creators
- R. Gilmore - Drexel UniversityXing Pei - Center for Neurodynamics, University of Missouri, St. Louis, Missouri 63121Frank Moss - University of Missouri–St. Louis
- Publication Details
- Chaos (Woodbury, N.Y.), v 9(3), pp 812-817
- Publisher
- American Institute of Physics (AIP)
- Number of pages
- 6
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- [Retired Faculty]
- Web of Science ID
- WOS:000082403100031
- Scopus ID
- 2-s2.0-0033196116
- Other Identifier
- 991019167825004721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Mathematics, Applied
- Physics, Mathematical