Information theoretic measures for quantifying the integration of neural activity

2007 Information Theory and Applications Workshop, Conference Proceedings, ITA

Volumn , Issue , 2007, Pages 20-26

  Aviyente, Selin ^a  

^a Michigan State University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COGNITIVE STATES; DYNAMIC NATURES; ELECTROENCEPHALOGRAM (EEG); ENERGY DENSITY FUNCTIONS; FUNCTIONAL INTEGRATION; INFORMATION MEASURES; INFORMATION-THEORETIC MEASURES; MUTUAL INFORMATION; NEURAL ACTIVITIES; NEURAL SIGNALS; NEURONAL ACTIVITIES; PHASE SYNCHRONY; PROBABILITY DENSITY FUNCTIONS; RENYI DIVERGENCE; RENYI ENTROPIES; SHANNON ENTROPIES; SPECTRAL COHERENCE; TIME-FREQUENCY DISTRIBUTIONS; TIME-FREQUENCY DOMAINS;

BRAIN; CYBERNETICS; ENTROPY; FLOW INTERACTIONS; HUMAN COMPUTER INTERACTION; IMAGE SEGMENTATION; INFORMATION THEORY; PROBABILITY DISTRIBUTIONS; RISK ASSESSMENT; TWO DIMENSIONAL;

PROBABILITY DENSITY FUNCTION;

EID: 48049118157     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ITA.2007.4357556     Document Type: Conference Paper

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