Brain rhythms reveal a hierarchical network organization

PLoS Computational Biology

Volumn 7, Issue 10, 2011, Pages

  Steinke, G Karl ^a   Galán, Roberto F ^b  

^a Case Western Reserve University   (United States)

^b CASE WESTERN RESERVE UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN; COMPLEX NETWORKS; INVERSE PROBLEMS; NETWORK ARCHITECTURE; NEURONS; POWER SPECTRUM;

BRAIN RHYTHMS; COMPUTATIONAL STUDIES; CROSS TALKS; HIERARCHICAL NETWORK; LOGARITHMIC SCALE; NETWORK ORGANIZATION; NEURAL ACTIVITY; NEURAL FUNCTIONS; POWER-SPECTRA; SPECIFIC FREQUENCIES;

DYNAMICS;

ARTICLE; ARTIFICIAL NEURAL NETWORK; BRAIN FUNCTION; CONTROLLED STUDY; ELECTROENCEPHALOGRAM; EPILEPSY; MAGNETOENCEPHALOGRAPHY; MENTAL PERFORMANCE; MOLECULAR DYNAMICS; MOLECULAR INTERACTION; NEGATIVE FEEDBACK; OSCILLATION; PROCESS MODEL; SCHIZOPHRENIA; STOCHASTIC MODEL; STRUCTURE ANALYSIS; VIRTUAL REALITY; BRAIN; ELECTROENCEPHALOGRAPHY; HUMAN; PHYSIOLOGY; PROBABILITY; THEORETICAL MODEL;

BRAIN; ELECTROENCEPHALOGRAPHY; HUMANS; MODELS, THEORETICAL; PROBABILITY;

EID: 80055066621     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1002207     Document Type: Article

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