How to detect the Granger-causal flow direction in the presence of additive noise?

NeuroImage

Volumn 108, Issue , 2015, Pages 301-318

  Vinck, Martin ^a,b,c   Huurdeman, Lisanne ^b   Bosman, Conrado A ^a,b   Fries, Pascal ^a,d   Battaglia, Francesco P ^a   Pennartz, Cyriel M A ^b   Tiesinga, Paul H ^a  

^a RADBOUD UNIVERSITY   (Netherlands)

^b UNIVERSITY OF AMSTERDAM   (Netherlands)

^c YALE UNIVERSITY SCHOOL OF MEDICINE   (United States)

^d ERNST STRÜNGMANN INSTITUTE ESI FOR NEUROSCIENCE IN COOPERATION WITH MAX PLANCK SOCIETY   (Germany)

Author keywords

Granger causality; Phase slope index; Reversed time series; Vector autoregressive modeling; Volume conduction

Indexed keywords

ARTICLE; ATTENTION; GRANGER CAUSAL FLOW DIRECTION; MATHEMATICAL COMPUTING; NOISE; PREDICTION; SIMULATION; STATISTICAL MODEL; STATISTICAL PARAMETERS; TASK PERFORMANCE; VECTOR AUTOREGRESSIVE MODEL; VISUAL SYSTEM FUNCTION; ANIMAL; ARTIFACT; BIOLOGICAL MODEL; BRAIN; CONNECTOME; HAPLORHINI; HUMAN; NEUROIMAGING; PHYSIOLOGY; PROCEDURES; THEORETICAL MODEL;

ANIMALS; ARTIFACTS; BRAIN; CONNECTOME; HAPLORHINI; HUMANS; MODELS, NEUROLOGICAL; MODELS, THEORETICAL; NEUROIMAGING;

EID: 84922242642     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2014.12.017     Document Type: Article

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