DocumentCode :
347361
Title :
Synchrony in neural networks: from physiology to pathology
Author :
Lytton, William W.
Author_Institution :
Dept. of Neurology, Wisconsin Univ., Madison, WI, USA
Volume :
2
fYear :
1999
fDate :
36434
Abstract :
In the heart, the spatiotemporal chaos of ventricular fibrillation represents a pathological perversion of normal coordinated firing. The contrary is true in the brain, where seizures represent pathological coordinated firing of many neurons. The authors have adapted cellular automata models employed in cardiac research to analyze transitions between desynchronized and synchronized firing. They have then explored these models in progressively more physiologically realistic incarnations
Keywords :
brain models; cardiology; cellular automata; chaos; neural nets; neurophysiology; brain; cellular automata models; desynchronized firing; heart; neural network synchrony; normal coordinated firing; pathological coordinated firing; pathological perversion; progressively more physiologically realistic incarnations; spatiotemporal chaos; synchronized firing; ventricular fibrillation; Anatomy; Biological neural networks; Chaos; Fibrillation; Intelligent networks; Neural networks; Neurons; Pathology; Physiology; Spatiotemporal phenomena;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
[Engineering in Medicine and Biology, 1999. 21st Annual Conference and the 1999 Annual Fall Meetring of the Biomedical Engineering Society] BMES/EMBS Conference, 1999. Proceedings of the First Joint
Conference_Location :
Atlanta, GA
ISSN :
1094-687X
Print_ISBN :
0-7803-5674-8
Type :
conf
DOI :
10.1109/IEMBS.1999.804348
Filename :
804348
Link To Document :
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