Brain and artificial intelligence: from the viewpoint of spontaneous and task-evoked brain dynamics

Sase, Takumi and Hassan, Raini (2019) Brain and artificial intelligence: from the viewpoint of spontaneous and task-evoked brain dynamics. Journal of Computational and Theoretical Nanoscience, 16 (3). pp. 1081-1092. ISSN 1546-1955 E-ISSN 1546-1963

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Abstract

Recently, the field of brain science often yields ‘big’ data and utilizes machine learning, which is central for the present artificial intelligence (AI) field and starts usually from extracting the hidden features. However, the data recorded from the brain are dynamic where the property of the data changes with time, different from photos that are static over the time. Then, the following question emerges: Are brain’s dynamic data really suitable for the present AI techniques? More specifically, can we extract exact features from brain’s dynamic data and what kind of dynamics makes this feature extraction more reliable? To answer these questions, in this study, we generated two kinds of the brain dynamics computationally, i.e., spontaneous and task-evoked brain dynamics, and both dynamics were applied to a fundamental technique for most feature extraction methods, that is, the principal component analysis (PCA). We suggest that the task-evoked brain dynamics can give rise to a feature space where different features, possibly related to personality traits, are classified more robustly and may lead to a better brain-AI system.

Item Type:	Article (Journal)
Uncontrolled Keywords:	Brain, Artificial Intelligence, Spontaneous and Task-Evoked Brain Dynamics, Neural Mass Model, Principal Component Analysis
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Information and Communication Technology > Department of Computer Science
Depositing User:	Dr. Takumi Sase
Date Deposited:	20 Dec 2021 14:32
Last Modified:	20 Dec 2021 14:32
URI:	http://irep.iium.edu.my/id/eprint/94960

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