Time-delay model of perceptual decision making in cortical networks
Natalia Z. Bielczyk
Katarzyna Piskała
Martyna Płomecka
Piotr Radziński
Lara Todorova
Urszula Foryś
10.1371/journal.pone.0211885
https://plos.figshare.com/articles/dataset/Time-delay_model_of_perceptual_decision_making_in_cortical_networks/7726847
<div><p>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.</p></div>
2019-02-15 18:27:07
Hopf bifurcation
fMRI datasets
BOLD
system exhibits ambiguity
Time-delay model
winner-take-all mechanism
experiment
population model
Inferior Parietal Area
Superior Parietal Area
instability