Transfer entropy-a model-free measure of effective connectivity for the neurosciences

Journal of Computational Neuroscience

Volumn 30, Issue 1, 2011, Pages 45-67

  Vicente, Raul ^a,b   Wibral, Michael ^c   Lindner, Michael ^c,d   Pipa, Gordon ^a,b  

^a MAX PLANCK INSTITUTE FOR BRAIN RESEARCH   (Germany)

^b FRANKFURT INSTITUTE FOR ADVANCED STUDIES   (Germany)

^c GOETHE UNIVERSITY   (Germany)

^d Center for Individual Development   (Germany)

Author keywords

Causality; Effective connectivity; Electroencephalography; Information theory; Information transfer; Magnetoencephalography

Indexed keywords

BRAIN; BRAIN MAPPING; ELECTROPHYSIOLOGY; ENTROPY; MAGNETOENCEPHALOGRAPHY;

BRAIN ACTIVITY; BRAIN DYNAMICS; CAUSAL RELATIONSHIPS; CAUSALITY; EFFECTIVE CONNECTIVITIES; INFORMATION TRANSFERS; LARGE PARTS; MODEL FREE; STIMULUS RESPONSE; TRANSFER ENTROPY;

ELECTROENCEPHALOGRAPHY;

ARTICLE; BRAIN FUNCTION; CAUSAL MODELING; ELECTROENCEPHALOGRAPHY; ENTROPY; EVOKED MUSCLE RESPONSE; INFORMATION PROCESSING; INFORMATION SCIENCE; MAGNETOENCEPHALOGRAPHY; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; MOLECULAR DYNAMICS; MOTOR PERFORMANCE; NERVE CELL NETWORK; NERVE CONDUCTION; NEUROANATOMY; NEUROSCIENCE; NONLINEAR SYSTEM; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; SIGNAL DETECTION; STATISTICAL ANALYSIS; STIMULUS RESPONSE; TRANSFER ENTROPY;

EID: 79952282160     PISSN: 09295313     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10827-010-0262-3     Document Type: Article

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