2021
DOI: 10.31234/osf.io/drcq6
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Modeling variation in empathic sensitivity using go/no-go social reinforcement learning

Abstract: Empathic experiences shape social behaviors and display considerable individual variation. Recent advances in computational behavioral modeling can help rigorously quantify individual differences, but remain understudied in the context of empathy and antisocial behavior. We adapted a go/no-go reinforcement learning task across social and non-social contexts such that monetary gains and losses explicitly impacted the subject, a study partner, or no one. Empathy was operationalized as sensitivity to others’ rewa… Show more

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Cited by 2 publications
(2 citation statements)
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References 57 publications
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“…However, existing studies on reinforcement learning and psychopathy or antisocial behavior, especially those involving neuroimaging methods, have largely focused and learning for the self, rather than for self and other (simultaneously) (Cutler et al, 2021;Christopoulos & King-Casas, 2015). In previous studies in healthy (young) adults that focused on learning in social contexts, more antisocial behavior and higher psychopathic traits, were both associated with reduced sensitivity for the outcomes of others (Cutler et al, 2021;OConnell et al, 2021). However, it remains unclear whether and how these findings translate to more high-risk and forensic samples.…”
Section: Learning How Behavior May Benefit Self and Othersmentioning
confidence: 99%
“…However, existing studies on reinforcement learning and psychopathy or antisocial behavior, especially those involving neuroimaging methods, have largely focused and learning for the self, rather than for self and other (simultaneously) (Cutler et al, 2021;Christopoulos & King-Casas, 2015). In previous studies in healthy (young) adults that focused on learning in social contexts, more antisocial behavior and higher psychopathic traits, were both associated with reduced sensitivity for the outcomes of others (Cutler et al, 2021;OConnell et al, 2021). However, it remains unclear whether and how these findings translate to more high-risk and forensic samples.…”
Section: Learning How Behavior May Benefit Self and Othersmentioning
confidence: 99%
“…However, existing studies on reinforcement learning and psychopathy or antisocial behavior, especially those involving neuroimaging methods, have largely focused and learning for the self, rather than for self and other (simultaneously) ( Christopoulos and King-Casas, 2015 ; Cutler et al, 2021 ). In previous studies in healthy (young) adults that focused on learning in social contexts, more antisocial behavior and higher psychopathic traits, were both associated with reduced sensitivity for the outcomes of others ( Cutler et al, 2021 ; O’Connell et al, 2021 ). However, it remains unclear whether and how these findings translate to more high-risk and forensic samples.…”
Section: Current Evidence Of Behavioral and Neurobiological Social In...mentioning
confidence: 86%