Please use this identifier to cite or link to this item: https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/15655
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dc.contributor.authorRajput, Ranjana-
dc.contributor.authorSukumar, V-
dc.contributor.authorPatnaik, Preetishree-
dc.contributor.authorGarg, Puneet-
dc.contributor.authorRanjan, Mansi-
dc.date.accessioned2024-05-29T08:51:27Z-
dc.date.available2024-05-29T08:51:27Z-
dc.date.issued2024-
dc.identifier.citationpp. 524-528en_US
dc.identifier.isbn9798350382723-
dc.identifier.urihttp://dx.doi.org/10.1109/AUTOCOM60220.2024.10486081-
dc.identifier.urihttp://gnanaganga.inflibnet.ac.in:8080/jspui/handle/123456789/15655-
dc.description.abstractThis study employs cognitive neuroscience methods to investigate the brain underpinnings of decision-making processes. The study aims to clarify how decision-making brain networks relate to behavioral outcomes. We studied the brain activity patterns during decision-making tasks and analyzed their association with choice outcome susing a mix of functional magnetic resonance imaging (fMRI) and behavioral paradigms. Our findings have significance for comprehending behavioral patterns in people as well as decision-making disorders because they shed light on the cognitive and neurological processes involved indecision-making. Genetic bases for cognitive function may be identified in a variety of linked brain activities. Cognitive function is a heritable mental attribute. Traditionally, research has approached these intricate psychological characteristics as separate entities. © 2024 IEEE.en_US
dc.language.isoenen_US
dc.publisherInternational Conference on Automation and Computation, AUTOCOM 2024en_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.subjectBehavioral Paradigmsen_US
dc.subjectCognitive Imagingen_US
dc.subjectNeurological Underpinningsen_US
dc.subjectNeuroscienceen_US
dc.titleThe Cognitive Analysis for an Approach to Neuroscienceen_US
dc.typeArticleen_US
Appears in Collections:Conference Papers

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