Time-delay model of perceptual decision making in cortical networks

被引:6
作者
Bielczyk, Natalia Z. [1 ]
Piskala, Katarzyna [2 ]
Plomecka, Martyna [3 ,4 ]
Radzinski, Piotr [2 ]
Todorova, Lara [5 ,6 ]
Forys, Urszula [2 ]
机构
[1] Stichting Solaris Onderzoek & Ontwikkeling, Nijmegen, Netherlands
[2] Univ Warsaw, Fac Math, Warsaw, Poland
[3] Univ Zurich, Dept Psychol, Methods Plast Res, Zurich, Switzerland
[4] Polish Acad Sci, Lab Brain Imaging, Neurobiol Ctr, Nencki Inst Expt Biol, Warsaw, Poland
[5] Radboud Univ Nijmegen, Fac Social Sci, Nijmegen, Netherlands
[6] Donders Inst Brain Cognit & Behav, Donders Ctr Cognit Neuroimaging, Nijmegen, Netherlands
关键词
PARIETAL CORTEX; NEURAL BASIS; BRAIN; DYNAMICS; INHIBITION; NOISE; TRANSITIONS; NEURONS; AREA;
D O I
10.1371/journal.pone.0211885
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
引用
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页数:18
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