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: | , , , , |
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| Format: | Article |
| Language: | English English English |
| Published: |
Springer Netherlands
2016
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| Subjects: | |
| Online Access: | 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 http://irep.iium.edu.my/53748/ https://link.springer.com/article/10.1007/s11571-015-9365-x |
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| Institution: | Universiti Islam Antarabangsa Malaysia |
| Language: | English English English |
| Summary: | 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. |
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