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Raymond J. Dolan

Researcher at University College London

Publications -  940
Citations -  150202

Raymond J. Dolan is an academic researcher from University College London. The author has contributed to research in topics: Prefrontal cortex & Functional magnetic resonance imaging. The author has an hindex of 196, co-authored 919 publications receiving 138540 citations. Previous affiliations of Raymond J. Dolan include VU University Amsterdam & McGovern Institute for Brain Research.

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Age-related changes in working memory and the ability to ignore distraction

TL;DR: It is shown that, as age increases, working memory performance is compromised more by distractors presented during WM maintenance than distractor presented during encoding, and the ability to exclude distraction at encoding is a better predictor of WMC in the absence of distraction.
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Neural and computational processes underlying dynamic changes in self-esteem.

TL;DR: A computational model that captures fluctuations in self-esteem engendered by prediction errors that quantify the difference between expected and received social feedback is introduced and indicates that updating of self-evaluative beliefs relies on learning mechanisms akin to those used in learning about others.
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Dissociable Effects of Serotonin and Dopamine on the Valuation of Harm in Moral Decision Making

TL;DR: Dissociable effects of the serotonin reuptake inhibitor citalopram and the dopamine precursor levodopa on decisions to inflict pain on oneself and others for financial gain and evidence for dose dependency of these effects are found.
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Emotional and autonomic consequences of spinal cord injury explored using functional brain imaging

TL;DR: It is suggested that the observed functional abnormalities including enhanced anterior cingulate and PAG reflect central sensitization of the pain matrix, while decreased subgenual cingulates activity may represent a substrate underlying affective vulnerability in SCI patients consequent upon perturbation of autonomic control and afferent visceral representation.
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Optimal inference with suboptimal models: addiction and active Bayesian inference.

TL;DR: Suboptimal or pathological behaviour does not speak against understanding behaviour in terms of (Bayes optimal) inference, but rather calls for a more refined understanding of the subject’s generative model upon which their (optimal) Bayesian inference is based.