Models of making choice and control over thought for action

Show simple item record Indrajeet, Indrajeet Goyal, Shruti Miyapuram, Krishna Prasad Ray, Supriya 2020-04-27T05:22:47Z 2020-04-27T05:22:47Z 2020
dc.identifier.citation Indrajeet, Indrajeet; Goyal, Shruti; Miyapuram, Krishna Prasad and Ray, Supriya, “Models of making choice and control over thought for action”, in Cognitive informatics, computer modelling, and cognitive science, volume 2: application to neural engineering, robotics, and STEM, DOI: 10.1016/B978-0-12-819445-4.00004-7, San Diego: Elsevier, pp. 65-99, Apr. 2020, ISBN: 9780128194454. en_US
dc.identifier.isbn 9.78E+12
dc.description.abstract We usually select the most suitable option from available alternatives to interact with the environment for our well-being. A successful interaction with the environment warrants continuous accumulation and interpretation of sensory information, and making a choice to guide an action based on the sensory evidence gathered and the prior knowledge. However, if the choice becomes inappropriate due to abrupt changes in the environment or personal preference, inhibition of the planned movement is more beneficial than its execution. The ability to cancel the thought for an action requires timely exertion of an inhibitory control. How we select a goal, plan an action, evaluate risk, and inhibit the urge to execute the action remain as central issues for further exploration in cognitive science. In this review, we summarize relatively recent computational frameworks in the light of corresponding behavioral and physiological data, which have advanced our understanding of decision-making and executive control.
dc.description.statementofresponsibility by Indrajeet Indrajeet, Shruti Goyal, Krishna P.Miyapuram and Supriya Ray
dc.language.iso en_US en_US
dc.publisher Elsevier en_US
dc.subject Perceptual decision-making en_US
dc.subject action control en_US
dc.subject drift-diffusion model en_US
dc.subject stop-signal task en_US
dc.title Models of making choice and control over thought for action en_US
dc.type Book chapter en_US

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