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Recursive penalized least squares solution for dynamical inverse problems of EEG generation
2004
Human Brain Mapping
In the dynamical inverse problem of electroencephalogram (EEG) generation where a specific dynamics for the electrical current distribution is assumed, we can impose general spatiotemporal constraints onto the solution by casting the problem into a state space representation and assuming a specific class of parametric models for the dynamics. The Akaike Bayesian Information Criterion (ABIC), which is based on the Type II likelihood, was used to estimate the parameters and evaluate the model. In
doi:10.1002/hbm.20000
pmid:15038004
fatcat:xdoakukw7rfrlfoujwz6uqopqq