Measuring Integrated Information from the Decoding Perspective

PLoS Computational Biology

Volumn 12, Issue 1, 2016, Pages

  Oizumi, Masafumi ^a,b   Amari, Shun Ichi ^a   Yanagawa, Toru ^a   Fujii, Naotaka ^a   Tsuchiya, Naotsugu ^b,c  

^a RIKEN BRAIN SCIENCE INSTITUTE   (Japan)

^b MONASH UNIVERSITY   (Australia)

^c JAPAN SCIENCE AND TECHNOLOGY AGENCY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

DECODING;

AMOUNT OF INFORMATION; EMPIRICAL EVALUATIONS; INFORMATION INTEGRATED; INTEGRATED INFORMATIONS; LEVEL OF CONSCIOUSNESS; LOW BOUND; LOWER AND UPPER BOUNDS; MATHEMATICAL APPROACH; NEURAL DATA; PRACTICAL MEASURES;

COMPUTATION THEORY;

BIOLOGY; BRAIN; CHEMICAL BINDING; CONSCIOUSNESS; EXPERIMENTAL MODEL; HUMAN; HUMAN EXPERIMENT; INFORMATION SCIENCE; THEORETICAL MODEL; ANIMAL; BIOLOGICAL MODEL; BRAIN CORTEX; ELECTROCORTICOGRAPHY; MACACA; NORMAL DISTRIBUTION; PHYSIOLOGY;

ANIMALS; CEREBRAL CORTEX; COMPUTATIONAL BIOLOGY; CONSCIOUSNESS; ELECTROCORTICOGRAPHY; INFORMATION THEORY; MACACA; MODELS, NEUROLOGICAL; NORMAL DISTRIBUTION;

EID: 84956786087     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1004654     Document Type: Article

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