Estimation of cortical connectivity from E/MEG using nonlinear state-space models

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn , Issue , 2011, Pages 769-772

  Cheung, Bing Leung P ^a   Van Veen, Barry D ^a  

^a University of Wisconsin Madison   (United States)

Author keywords

Cortical connectivity; expectation maximization (EM) algorithm; Granger causality; radial basis function (RBF) network; state space model

Indexed keywords

CORTICAL CONNECTIVITY; CORTICAL REGIONS; EXPECTATION-MAXIMIZATION ALGORITHMS; GRANGER CAUSALITY; INTEGRATED APPROACH; MULTIVARIATE AUTOREGRESSIVE; NONLINEAR STATE SPACE MODELS; OBSERVATION EQUATION; OBSERVED DATA; RADIAL BASIS FUNCTIONS; RBF KERNELS; STATE EQUATIONS; STATE-SPACE MODELS;

ALGORITHMS; ESTIMATION; IMAGE SEGMENTATION; INVERSE PROBLEMS; MAXIMUM LIKELIHOOD ESTIMATION; MAXIMUM PRINCIPLE; NONLINEAR EQUATIONS; RADIAL BASIS FUNCTION NETWORKS; SIGNAL PROCESSING; SPEECH COMMUNICATION;

EQUATIONS OF STATE;

EID: 80051616396     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2011.5946517     Document Type: Conference Paper

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