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Classification of EEG patterns using nonlinear dynamics and identifying chaotic phase transitions

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Publication:1851893
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DOI10.1016/S0925-2312(02)00429-0zbMath1007.68908MaRDI QIDQ1851893

Walter J. Freeman, Robert Kozma

Publication date: 9 January 2003

Published in: Neurocomputing (Search for Journal in Brave)


zbMATH Keywords

Phase transitionsSpatio-temporal chaosCortical EEG


Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Neural biology (92C20) Computing methodologies and applications (68U99)


Related Items (2)

A field-theoretic approach to understanding scale-free neocortical dynamics ⋮ Detecting stable phase structures in EEG signals to classify brain activity amplitude patterns







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