Annealed Importance Sampling for Neural Mass Models.
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ABSTRACT:
SUBMITTER: Penny W
PROVIDER: S-EPMC4778905 | biostudies-literature | 2016 Mar
REPOSITORIES: biostudies-literature
Publications
Annealed Importance Sampling for Neural Mass Models.
PLoS computational biology 20160304 3
Neural Mass Models provide a compact description of the dynamical activity of cell populations in neocortical regions. Moreover, models of regional activity can be connected together into networks, and inferences made about the strength of connections, using M/EEG data and Bayesian inference. To date, however, Bayesian methods have been largely restricted to the Variational Laplace (VL) algorithm which assumes that the posterior distribution is Gaussian and finds model parameters that are only l ...[more]
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