R
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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Choking on the Money Reward-Based Performance Decrements Are Associated With Midbrain Activity
Dean Mobbs,Dean Mobbs,Demis Hassabis,Ben Seymour,Jennifer L. Marchant,Nikolaus Weiskopf,Raymond J. Dolan,Chris D. Frith,Chris D. Frith +8 more
TL;DR: Conurrent functional magnetic resonance imaging revealed that increased activity in ventral midbrain, a brain area associated with incentive motivation and basic reward responding, correlated with both reduced number of captures and increased number of near-misses associated with imminent high rewards.
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Cooperation and heterogeneity of the autistic mind
Wako Yoshida,Isabel Dziobek,Dorit Kliemann,Hauke R. Heekeren,Karl J. Friston,Raymond J. Dolan +5 more
TL;DR: This work found that a selective difficulty representing the level of strategic sophistication of others, namely inferring others' mindreading strategy, specifically predicts symptom severity and provides the first quantitative approach that can reveal the underlying computational dysfunctions that generate the autistic “spectrum.”
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Activity in Face-Responsive Brain Regions is Modulated by Invisible, Attended Faces: Evidence from Masked Priming
TL;DR: Functional magnetic resonance imaging data demonstrate that fMRI activity in face-responsive regions can be modulated independently of perceptual awareness, and document where such subliminal face-processing occurs.
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Subcortical amygdala pathways enable rapid face processing
TL;DR: The results support the hypothesis that a subcortical pathway to the amygdala plays a role in rapid sensory processing of faces, in particular during early stimulus processing, and contributes to an understanding of the amygdala as a behavioural relevance detector.
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Dopamine, reward learning, and active inference.
TL;DR: An active inference scheme for solving Markov decision processes is extended to include learning, and it is shown that simulated dopamine dynamics strongly resemble those actually observed during instrumental conditioning.