Neural network modelling of the influence of channelopathies on reflex visual attention

Gravier, Alexandre and Quek, Chai and Duch, Włodzisław and Abdul Rahman, Abdul Wahab and Gravier-Rymaszewska, Joanna (2016) Neural network modelling of the influence of channelopathies on reflex visual attention. Cognitive Neurodynamics, 10 (1). pp. 49-72. ISSN 1871-4080 E-ISSN 1871-4099

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Abstract

This paper introduces a model of Emergent Visual Attention in presence of calcium channelopathy (EVAC). By modelling channelopathy, EVAC constitutes an effort towards identifying the possible causes of autism. The network structure embodies the dual pathways model of cortical processing of visual input, with reflex attention as an emergent property of neural interactions. EVAC extends existing work by introducing attention shift in a larger-scale network and applying a phenomenological model of channelopathy. In presence of a distractor, the channelopathic network’s rate of failure to shift attention is lower than the control network’s, but overall, the control network exhibits a lower classification error rate. The simulation results also show differences in task-relative reaction times between control and channelopathic networks. The attention shift timings inferred from the model are consistent with studies of attention shift in autistic children.

Item Type:	Article (Journal)
Additional Information:	6145/53748
Uncontrolled Keywords:	Autism; Calcium channelopathy; Neural network; Task learning; Visual attention
Subjects:	Q Science > QP Physiology
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology
Depositing User:	Prof Abdul Wahab Abdul Rahman
Date Deposited:	14 Apr 2017 15:34
Last Modified:	18 Jul 2017 08:30
URI:	http://irep.iium.edu.my/id/eprint/53748

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