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Dynamic Causal Modelling of Active Vision

Parr, T; Mirza, MB; Cagnan, H; Friston, KJ; (2019) Dynamic Causal Modelling of Active Vision. The Journal of Neuroscience , 39 (32) pp. 6265-6275. 10.1523/JNEUROSCI.2459-18.2019. Green open access

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Abstract

In this paper, we draw from recent theoretical work on active perception that suggests the brain makes use of an internal (i.e., generative) model to make inferences about the causes of sensations. This view treats visual sensations as consequent on action (i.e., saccades) and implies that visual percepts must be actively constructed via a sequence of eye movements. Oculomotor control calls on a distributed set of brain sources that includes the dorsal and ventral frontoparietal (attention) networks. We argue that connections from the frontal eye fields to ventral parietal sources represent the mapping from 'where', fixation location to information derived from 'what' representations in the ventral visual stream. During scene construction, this mapping must be learned, putatively through changes in the effective connectivity of these synapses. Here, we test the hypothesis that the coupling between the dorsal frontal cortex and the right temporoparietal cortex is modulated during saccadic interrogation of a simple visual scene. Using dynamic causal modelling for magnetoencephalography (MEG) with (male and female) human participants, we assess the evidence for changes in effective connectivity by comparing models that allow for this modulation with models that do not. We find strong evidence for modulation of connections between the two attention networks; namely, a disinhibition of the ventral network by its dorsal counterpart.

Type: Article
Title: Dynamic Causal Modelling of Active Vision
Open access status: An open access version is available from UCL Discovery
DOI: 10.1523/JNEUROSCI.2459-18.2019
Publisher version: https://doi.org/10.1523/JNEUROSCI.2459-18.2019
Language: English
Additional information: Copyright © 2019 Parr et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed.
Keywords: Dynamic causal modelling; Active vision; Eye-tracking; Attention; Visual neglect; Magnetoencephalography
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Imaging Neuroscience
URI: https://discovery.ucl.ac.uk/id/eprint/10076211
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