Context-sensitive computational mechanisms of decision making

Show simple item record Chawla, Manisha Miyapuram, Krishna Prasad 2018-12-01T05:10:32Z 2018-12-01T05:10:32Z 2018-11
dc.identifier.citation Chawla, Manisha and Miyapuram, Krishna P., "Context-sensitive computational mechanisms of decision making", Journal of Experimental Neuroscience, DOI: 10.1177/1179069518809057, vol. 12, Nov. 2018. en_US
dc.identifier.issn 1179-0695
dc.identifier.issn 1179-0695
dc.description.abstract Real-world information is primarily sensory in nature, and understandably people attach value to the sensory information to prepare for appropriate behavioral responses. This review presents research from value-based, perceptual, and social decision-making domains, so far studied using isolated paradigms and their corresponding computational models. For example, in perceptual decision making, the sensory evidence accumulation rather than value computation becomes central to choice behavior. Furthermore, we identify cross-linkages between the perceptual and value-based domains to help us better understand generic processes pertaining to individual decision making. The purpose of this review is 2-fold. First, we identify the need for integrated study of different domains of decision making. Second, given that both our perception and valuation are influenced by the surrounding context, we suggest the integration of different types of information in decision making could be done by studying contextual influences in decision making. Future research needs to attempt toward a system-level understanding of various subprocesses involved in decision making.
dc.description.statementofresponsibility by Manisha Chawla and Krishna P. Miyapuram
dc.format.extent vol. 12
dc.language.iso en en_US
dc.publisher Elsevier en_US
dc.subject Decision making en_US
dc.subject Neuroeconomics en_US
dc.subject Computational models en_US
dc.title Context-sensitive computational mechanisms of decision making en_US
dc.type Article en_US
dc.relation.journal Journal of Experimental Neuroscience

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