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dc.contributor.author
Adams, Rick A.
dc.contributor.author
Aponte, Eduardo A.
dc.contributor.author
Marshall, Louise
dc.contributor.author
Friston, Karl J.
dc.date.accessioned
2019-07-01T11:48:52Z
dc.date.available
2017-06-11T21:26:56Z
dc.date.available
2019-03-29T12:52:01Z
dc.date.available
2019-07-01T11:48:52Z
dc.date.issued
2015-03-15
dc.identifier.issn
0165-0270
dc.identifier.issn
1872-678X
dc.identifier.other
10.1016/j.jneumeth.2015.01.003
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/107462
dc.identifier.doi
10.3929/ethz-b-000107462
dc.description.abstract
Background 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. New method Our key innovation is to use a generative model based on a normative (Bayes-optimal) model of active inference to model oculomotor pursuit in terms of subjects’ beliefs about how visual targets move and how their oculomotor system responds. Our aim here is to establish the face validity of the approach, by manipulating the content and precision of sensory information – and examining the ensuing changes in the subjects’ implicit beliefs. These beliefs are inferred from their eye movements using the normative model. Results We show that on average, subjects respond to an increase in the ‘noise’ of target motion by increasing sensory precision in their models of the target trajectory. In other words, they attend more to the sensory attributes of a noisier stimulus. Conversely, subjects only change kinetic parameters in their model but not precision, in response to increased target speed. Conclusions Using this technique one can estimate the precisions of subjects’ hierarchical Bayesian beliefs about target motion. We hope to apply this paradigm to subjects with schizophrenia, whose pursuit abnormalities may result from the abnormal encoding of precision.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Elsevier
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.subject
Oculomotor control
en_US
dc.subject
Pursuit
en_US
dc.subject
Active inference
en_US
dc.subject
Dynamic causal modelling
en_US
dc.subject
Precision
en_US
dc.title
Active inference and oculomotor pursuit: The dynamic causal modelling of eye movements
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 4.0 International
dc.date.published
2015-01-10
ethz.journal.title
Journal of Neuroscience Methods
ethz.journal.volume
242
en_US
ethz.journal.abbreviated
J. neurosci. methods
ethz.pages.start
1
en_US
ethz.pages.end
14
en_US
ethz.size
14 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.nebis
000017969
ethz.publication.place
Amsterdam
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02631 - Institut für Biomedizinische Technik / Institute for Biomedical Engineering::03955 - Stephan, Klaas E. / Stephan, Klaas E.
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02631 - Institut für Biomedizinische Technik / Institute for Biomedical Engineering::03955 - Stephan, Klaas E. / Stephan, Klaas E.
ethz.date.deposited
2017-06-11T21:27:42Z
ethz.source
ECIT
ethz.identifier.importid
imp593653bb7b12597668
ethz.ecitpid
pub:168060
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2017-07-12T15:03:39Z
ethz.rosetta.lastUpdated
2019-07-01T11:49:03Z
ethz.rosetta.exportRequired
false
ethz.rosetta.versionExported
true
ethz.COinS
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