Ghosh, Sayantani and Konar, Amit and Nagar, Atulya K. (2024) Cognitive Assessment of Scientific Creative-Skill by Brain-Connectivity Analysis Using Graph Convolutional-Interval Type-2 Fuzzy Network. IEEE Transactions on Cognitive and Developmental Systems. ISSN 2379-8920
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Abstract
Scientific creativity refers to natural/automated genesis of innovations in science, propelling scientific, technological, industrial and/or societal progress. Mental paper folding (MPF) requires spatial reasoning, which is an important attribute to determine creative-potential of people. The paper proposes a novel approach to determine creative potential of people from their brain-connectivity network (BCN) during their participation in MPF tasks using functional Near-Infrared Spectroscopy (fNIRS). The work involves three phases. The first phase includes construction of BCN using Pearson's correlation method. The centrality features of the nodes in the network are assessed in the second phase, and transferred to a proposed Graph Convolutional-Interval Type-2 Fuzzy Network (GC-IT2FN) in the third phase to classify the creative potential of individuals in four grades. The novelty of the work includes i) a novel self-attention mechanism in the network to guide graph convolution layers to focus on the most relevant nodes, ii) selection of a new activation function, Logish, after graph convolution to enhance classifier-accuracy, and iii) utilizing the promising region in the Footprint of Uncertainty (FOU) of the used fuzzy sets of IT2FN-based classifier to reduce the effect of uncertainty in brain data on classifier-performance. Experiments conducted demonstrate the efficacy of the proposed framework in contrast to traditional approaches.
| Item Type: | Article |
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| Additional Information and Comments: | © 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
| Keywords: | Scientific creativity, brain connectivity, fNIRS, graph convolution network, interval type-2 fuzzy set. |
| Faculty / Department: | Faculty of Human and Digital Sciences > Mathematics and Computer Science |
| Depositing User: | Atulya Nagar |
| Date Deposited: | 02 May 2024 09:18 |
| Last Modified: | 02 May 2024 09:18 |
| URI: | https://hira.hope.ac.uk/id/eprint/4207 |
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