A complex systems approach to an interpretation of dynamic brain activity I: Chaotic itinerancy can provide a mathematical basis for information processing in cortical transitory and nonstationary dynamics

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3146, Issue , 2004, Pages 109-128

  Tsuda, Ichiro ^a   Fujii, Hiroshi ^b  

^a HOKKAIDO UNIVERSITY   (Japan)

^b KYOTO SANGYO UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

CHAOS THEORY; COMPLEX NETWORKS; DYNAMICAL SYSTEMS; DYNAMICS; INFORMATION THEORY;

CHAOTIC ITINERANCY; DYNAMIC CONCEPTS; HIGH-DIMENSIONAL; HIGH-DIMENSIONAL SYSTEMS; IN-LABORATORY EXPERIMENTS; MATHEMATICAL BASIS; NOISY ENVIRONMENT; NON-STATIONARY DYNAMICS;

BRAIN;

EID: 33745433007     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-27862-7_6     Document Type: Article

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