Time-delay model of perceptual decision making in cortical networks
Publication year
2019Number of pages
18 p.
Source
PLoS One, 14, 2, (2019), article e0211885ISSN
Publication type
Article / Letter to editor
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Organization
PI Group Statistical Imaging Neuroscience
Cognitive Neuroscience
SW OZ DCC CO
Journal title
PLoS One
Volume
vol. 14
Issue
iss. 2
Languages used
English (eng)
Subject
220 Statistical Imaging Neuroscience; Action, intention, and motor controlAbstract
It is known that cortical networks operate on the edge of instability, in which oscillations can appear. However, the influence of this dynamic regime on performance in decision making, is not well understood. In this work, we propose a population model of decision making based on a winner-take-all mechanism. Using this model, we demonstrate that local slow inhibition within the competing neuronal populations can lead to Hopf bifurcation. At the edge of instability, the system exhibits ambiguity in the decision making, which can account for the perceptual switches observed in human experiments. We further validate this model with fMRI datasets from an experiment on semantic priming in perception of ambivalent (male versus female) faces. We demonstrate that the model can correctly predict the drop in the variance of the BOLD within the Superior Parietal Area and Inferior Parietal Area while watching ambiguous visual stimuli.
This item appears in the following Collection(s)
- Academic publications [238441]
- Donders Centre for Cognitive Neuroimaging [3824]
- Electronic publications [122508]
- Faculty of Medical Sciences [90373]
- Faculty of Social Sciences [29483]
- Open Access publications [97504]
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