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

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 in...

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Main Authors:	Gravier, Alexandre, Quek, Chai, Duch, Włodzisław, Abdul Rahman, Abdul Wahab, Gravier-Rymaszewska, Joanna
Format:	Article
Language:	English English English
Published:	Springer Netherlands 2016
Subjects:	QP Physiology
Online Access:	http://irep.iium.edu.my/53748/ http://irep.iium.edu.my/53748/ http://irep.iium.edu.my/53748/ http://irep.iium.edu.my/53748/1/53748_Neural%20network%20modelling.pdf http://irep.iium.edu.my/53748/2/53748_Neural%20network%20modelling_WOS.pdf http://irep.iium.edu.my/53748/3/53748_Neural%20network%20modelling_SCOPUS.pdf

id	iium-53748
recordtype	eprints
spelling	iium-537482017-07-18T00:30:35Z http://irep.iium.edu.my/53748/ Neural network modelling of the influence of channelopathies on reflex visual attention Gravier, Alexandre Quek, Chai Duch, Włodzisław Abdul Rahman, Abdul Wahab Gravier-Rymaszewska, Joanna QP Physiology 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. Springer Netherlands 2016-02-01 Article PeerReviewed application/pdf en http://irep.iium.edu.my/53748/1/53748_Neural%20network%20modelling.pdf application/pdf en http://irep.iium.edu.my/53748/2/53748_Neural%20network%20modelling_WOS.pdf application/pdf en http://irep.iium.edu.my/53748/3/53748_Neural%20network%20modelling_SCOPUS.pdf 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 https://link.springer.com/article/10.1007/s11571-015-9365-x 10.1007/s11571-015-9365-x
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English English
topic	QP Physiology
spellingShingle	QP Physiology Gravier, Alexandre Quek, Chai Duch, Włodzisław Abdul Rahman, Abdul Wahab Gravier-Rymaszewska, Joanna Neural network modelling of the influence of channelopathies on reflex visual attention
description	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.
format	Article
author	Gravier, Alexandre Quek, Chai Duch, Włodzisław Abdul Rahman, Abdul Wahab Gravier-Rymaszewska, Joanna
author_facet	Gravier, Alexandre Quek, Chai Duch, Włodzisław Abdul Rahman, Abdul Wahab Gravier-Rymaszewska, Joanna
author_sort	Gravier, Alexandre
title	Neural network modelling of the influence of channelopathies on reflex visual attention
title_short	Neural network modelling of the influence of channelopathies on reflex visual attention
title_full	Neural network modelling of the influence of channelopathies on reflex visual attention
title_fullStr	Neural network modelling of the influence of channelopathies on reflex visual attention
title_full_unstemmed	Neural network modelling of the influence of channelopathies on reflex visual attention
title_sort	neural network modelling of the influence of channelopathies on reflex visual attention
publisher	Springer Netherlands
publishDate	2016
url	http://irep.iium.edu.my/53748/ http://irep.iium.edu.my/53748/ http://irep.iium.edu.my/53748/ http://irep.iium.edu.my/53748/1/53748_Neural%20network%20modelling.pdf http://irep.iium.edu.my/53748/2/53748_Neural%20network%20modelling_WOS.pdf http://irep.iium.edu.my/53748/3/53748_Neural%20network%20modelling_SCOPUS.pdf
first_indexed	2023-09-18T21:16:01Z
last_indexed	2023-09-18T21:16:01Z
_version_	1777411567076245504

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

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