Brain Topographic Mapping of Emotions using Computational Cerebellum

The advancement of neuroimaging technologies actuated many researches to further understand the neurophysiology of the cognitive events, including emotional elicitations. Several neuroimaging techniques including Electroencephalography (EEG) have been employed to capture and visualize the underlying...

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Main Authors:	Yaacob, Hamwira Sakti, Kamaruddin, Norhaslinda, Abdul Rahman, Abdul Wahab
Format:	Conference or Workshop Item
Language:	English
Published:	2013
Subjects:	QA75 Electronic computers. Computer science TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
Online Access:	http://irep.iium.edu.my/32137/ http://irep.iium.edu.my/32137/ http://irep.iium.edu.my/32137/1/IJHVS_19_4_Paper_5.pdf

id	iium-32137
recordtype	eprints
spelling	iium-321372016-05-12T00:24:53Z http://irep.iium.edu.my/32137/ Brain Topographic Mapping of Emotions using Computational Cerebellum Yaacob, Hamwira Sakti Kamaruddin, Norhaslinda Abdul Rahman, Abdul Wahab QA75 Electronic computers. Computer science TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices The advancement of neuroimaging technologies actuated many researches to further understand the neurophysiology of the cognitive events, including emotional elicitations. Several neuroimaging techniques including Electroencephalography (EEG) have been employed to capture and visualize the underlying dynamics of emotional neurophysiology. However, the existing EEG techniques are complex and require specific assumptions. Hence, in this project, a self-organized topographic brain mapping model is proposed to automate the process of the dynamic visualization of brain activation during a specific emotional experiences. Such approach employs Cerebellar Model Articulation Controller (CMAC) machine learning algorithm to interpolate and visualize the distribution of activated region during cognitive activities as captured at the scalp. Experimental results show that CMAC can be an alternative approach to construct topographic brain maps for EEG inputs. It is envisaged the proposed approach will be used in the near future to provide explicit interpretations of emotional dynamic that can be used by medical practitioners, psychologists and general users. 2013 Conference or Workshop Item NonPeerReviewed application/pdf en http://irep.iium.edu.my/32137/1/IJHVS_19_4_Paper_5.pdf Yaacob, Hamwira Sakti and Kamaruddin, Norhaslinda and Abdul Rahman, Abdul Wahab (2013) Brain Topographic Mapping of Emotions using Computational Cerebellum. In: The Tenth International Conference on Electronics Computer and Computation (ICECCO 2013), 7-9 November 2013, Turgut Özal University, Ankara, Turkey. http://www.icecco.org/
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	QA75 Electronic computers. Computer science TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
spellingShingle	QA75 Electronic computers. Computer science TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices Yaacob, Hamwira Sakti Kamaruddin, Norhaslinda Abdul Rahman, Abdul Wahab Brain Topographic Mapping of Emotions using Computational Cerebellum
description	The advancement of neuroimaging technologies actuated many researches to further understand the neurophysiology of the cognitive events, including emotional elicitations. Several neuroimaging techniques including Electroencephalography (EEG) have been employed to capture and visualize the underlying dynamics of emotional neurophysiology. However, the existing EEG techniques are complex and require specific assumptions. Hence, in this project, a self-organized topographic brain mapping model is proposed to automate the process of the dynamic visualization of brain activation during a specific emotional experiences. Such approach employs Cerebellar Model Articulation Controller (CMAC) machine learning algorithm to interpolate and visualize the distribution of activated region during cognitive activities as captured at the scalp. Experimental results show that CMAC can be an alternative approach to construct topographic brain maps for EEG inputs. It is envisaged the proposed approach will be used in the near future to provide explicit interpretations of emotional dynamic that can be used by medical practitioners, psychologists and general users.
format	Conference or Workshop Item
author	Yaacob, Hamwira Sakti Kamaruddin, Norhaslinda Abdul Rahman, Abdul Wahab
author_facet	Yaacob, Hamwira Sakti Kamaruddin, Norhaslinda Abdul Rahman, Abdul Wahab
author_sort	Yaacob, Hamwira Sakti
title	Brain Topographic Mapping of Emotions using Computational Cerebellum
title_short	Brain Topographic Mapping of Emotions using Computational Cerebellum
title_full	Brain Topographic Mapping of Emotions using Computational Cerebellum
title_fullStr	Brain Topographic Mapping of Emotions using Computational Cerebellum
title_full_unstemmed	Brain Topographic Mapping of Emotions using Computational Cerebellum
title_sort	brain topographic mapping of emotions using computational cerebellum
publishDate	2013
url	http://irep.iium.edu.my/32137/ http://irep.iium.edu.my/32137/ http://irep.iium.edu.my/32137/1/IJHVS_19_4_Paper_5.pdf
first_indexed	2023-09-18T20:46:22Z
last_indexed	2023-09-18T20:46:22Z
_version_	1777409702125109248

Brain Topographic Mapping of Emotions using Computational Cerebellum

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