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Neuroimage. 2013 Jul 15;75:275-278. doi: 10.1016/j.neuroimage.2011.11.064. Epub 2011 Dec 1.

Model selection and gobbledygook: response to Lohmann et al.

Author information

1
The Wellcome Trust Centre for Neuroimaging, University College London, Queen Square, London WC1N 3BG, UK. Electronic address: k.friston@ucl.ac.uk.
2
Laboratory for Social and Neural Systems Research, Department of Economics, University of Zurich, Switzerland.
3
The Wellcome Trust Centre for Neuroimaging, University College London, Queen Square, London WC1N 3BG, UK; Laboratory for Social and Neural Systems Research, Department of Economics, University of Zurich, Switzerland.

Abstract

Lohmann et al. (this issue) make three unremarkable observations about model selection and use them to critique dynamic causal modelling-a Bayesian model selection procedure based on causal models of dynamical systems (Marreiros et al., 2010). In this response, we unpack their misconceptions and try to answer their questions.

[Indexed for MEDLINE]

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