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SYNCHRONIZATION, CHAOS AND SPIKE PATTERNS IN NEOCORTICAL COMPUTATION

Year 2003, Volume: 3 Issue: 1, 693 - 698, 09.01.2012

Abstract

From simulations relying on detailed physiological data, cortical layer IV recurrent network topology and small thalamic input currents, a novel synchronization paradigm emerges. Coarse synchronization, where small temporal variations due to individual characteristics of neurons are still allowed, is mediated by the bursting of  intrinsically non-bursting  spiny stellate and basket neurons. Using advanced methods of noise removal, we concluded that the collective behavior is of low-dimensional chaotic nature. The model observations are compared with data from anesthetized cats, where three fundamental groups of neuronal firing are distinguished. Using variable thalamic input currents, the characteristic in vivo behaviors and statistical properties are reproduced. Model and experimental data lead us to the conclusion that a large group of neurons fire in terms of patterns which may have a significance in information transfer in the brain.

Year 2003, Volume: 3 Issue: 1, 693 - 698, 09.01.2012

Abstract

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Details

Primary Language English
Journal Section Articles
Authors

Ruedi Stoop This is me

Daniel A. Blank This is me

Jan Vyver This is me

Markus Chrısten This is me

Albert Kern This is me

Publication Date January 9, 2012
Published in Issue Year 2003 Volume: 3 Issue: 1

Cite

APA Stoop, R., Blank, D. A., Vyver, J., Chrısten, M., et al. (2012). SYNCHRONIZATION, CHAOS AND SPIKE PATTERNS IN NEOCORTICAL COMPUTATION. IU-Journal of Electrical & Electronics Engineering, 3(1), 693-698.
AMA Stoop R, Blank DA, Vyver J, Chrısten M, Kern A. SYNCHRONIZATION, CHAOS AND SPIKE PATTERNS IN NEOCORTICAL COMPUTATION. IU-Journal of Electrical & Electronics Engineering. January 2012;3(1):693-698.
Chicago Stoop, Ruedi, Daniel A. Blank, Jan Vyver, Markus Chrısten, and Albert Kern. “SYNCHRONIZATION, CHAOS AND SPIKE PATTERNS IN NEOCORTICAL COMPUTATION”. IU-Journal of Electrical & Electronics Engineering 3, no. 1 (January 2012): 693-98.
EndNote Stoop R, Blank DA, Vyver J, Chrısten M, Kern A (January 1, 2012) SYNCHRONIZATION, CHAOS AND SPIKE PATTERNS IN NEOCORTICAL COMPUTATION. IU-Journal of Electrical & Electronics Engineering 3 1 693–698.
IEEE R. Stoop, D. A. Blank, J. Vyver, M. Chrısten, and A. Kern, “SYNCHRONIZATION, CHAOS AND SPIKE PATTERNS IN NEOCORTICAL COMPUTATION”, IU-Journal of Electrical & Electronics Engineering, vol. 3, no. 1, pp. 693–698, 2012.
ISNAD Stoop, Ruedi et al. “SYNCHRONIZATION, CHAOS AND SPIKE PATTERNS IN NEOCORTICAL COMPUTATION”. IU-Journal of Electrical & Electronics Engineering 3/1 (January 2012), 693-698.
JAMA Stoop R, Blank DA, Vyver J, Chrısten M, Kern A. SYNCHRONIZATION, CHAOS AND SPIKE PATTERNS IN NEOCORTICAL COMPUTATION. IU-Journal of Electrical & Electronics Engineering. 2012;3:693–698.
MLA Stoop, Ruedi et al. “SYNCHRONIZATION, CHAOS AND SPIKE PATTERNS IN NEOCORTICAL COMPUTATION”. IU-Journal of Electrical & Electronics Engineering, vol. 3, no. 1, 2012, pp. 693-8.
Vancouver Stoop R, Blank DA, Vyver J, Chrısten M, Kern A. SYNCHRONIZATION, CHAOS AND SPIKE PATTERNS IN NEOCORTICAL COMPUTATION. IU-Journal of Electrical & Electronics Engineering. 2012;3(1):693-8.