Measures of coupling between neural populations based on granger causality principle

Frontiers in Computational Neuroscience

Volumn 10, Issue OCT, 2016, Pages

  Kaminski, Maciej ^a   Brzezicka, Aneta ^b   Kaminski, Jan ^c   Blinowska, Katarzyna J ^a,d  

^a UNIVERSITY OF WARSAW   (Poland)

^b SWPS UNIVERSITY OF SOCIAL SCIENCES AND HUMANITIES   (Poland)

^c NICOLAUS COPERNICUS UNIVERSITY   (Poland)

^d INSTITUTE OF BIOCYBERNETICS AND BIOMEDICAL ENGINEERING   (Poland)

Author keywords

Causal coupling; Directed transfer function; Effective connectivity; Granger causality; Neural synchronization

Indexed keywords

FREQUENCY DOMAIN ANALYSIS; NEURAL NETWORKS; STATISTICAL TESTS; SYNCHRONIZATION;

DIRECTED TRANSFER FUNCTIONS; EFFECTIVE CONNECTIVITIES; EXPERIMENTAL SETTINGS; GRANGER CAUSALITY; MEASURES OF DEPENDENCE; NEURAL SYNCHRONIZATION; SHORT-TIME DIRECTED TRANSFER FUNCTIONS; SYNCHRONIZATION PATTERNS;

TRANSFER FUNCTIONS;

ELECTROENCEPHALOGRAM; FUNCTIONAL MAGNETIC RESONANCE IMAGING; INFORMATION PROCESSING; NERVOUS SYSTEM; NOISE; SKULL; TIME SERIES ANALYSIS;

EID: 84995518889     PISSN: None     EISSN: 16625188     Source Type: Journal    
DOI: 10.3389/fncom.2016.00114     Document Type: Review

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