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Elsevier, Journal of Neuroscience Methods, (242), p. 1-14, 2015

DOI: 10.1016/j.jneumeth.2015.01.003

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Active inference and oculomotor pursuit: The dynamic causal modelling of eye movements

Journal article published in 2015 by Rick A. Adams ORCID, Eduardo Aponte, Louise Marshall ORCID, Karl J. Friston ORCID
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

This paper introduces a new paradigm that allows one to quantify the Bayesian beliefs evidenced by subjects during oculomotor pursuit. Subjects' eye tracking responses to a partially occluded sinusoidal target were recorded non-invasively and averaged. These response averages were then analysed using dynamic causal modelling (DCM). In DCM, observed responses are modelled using biologically plausible generative or forward models - usually biophysical models of neuronal activity.