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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Decodability of Reward Learning Signals Predicts Mood Fluctuations
Eran Eldar,Eran Eldar,Charlotte Roth,Charlotte Roth,Peter Dayan,Raymond J. Dolan,Raymond J. Dolan +6 more
TL;DR: It is concluded that real-life mood fluctuations follow changes in responsivity to reward at multiple timescales.
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Credit assignment to state-independent task representations and its relationship with model-based decision making.
Nitzan Shahar,Rani Moran,Tobias U. Hauser,Rogier A. Kievit,Daniel McNamee,Michael Moutoussis,Raymond J. Dolan +6 more
TL;DR: It is shown that a putative model-free system assigns credit to outcome-irrelevant task representations, regardless of stimulus features, which highlights a need for a reconsideration of how model- free representations are formed and regulated according to the structure of the environment.
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Increased decision thresholds trigger extended information gathering across the compulsivity spectrum
TL;DR: It is shown that indecisiveness generalises to a compulsivity spectrum beyond frank clinical disorder, and this behaviour can be explained within a decision-theoretic framework as arising from an augmented decision threshold associated with an attenuated urgency signal.
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Framing effect following bilateral amygdala lesion
TL;DR: It is shown that two patients with Urbach-Wiethe disease, a rare condition associated with congenital, complete bilateral amygdala degeneration, exhibit an intact framing effect, suggesting either that amygdala does contribute to decision making but does not play a causal role in framing, or that UW is not a pure lesion model of amygdala function.
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Temporally dissociable contributions of human medial prefrontal subregions to reward-guided learning
Tobias U. Hauser,Laurence T. Hunt,Reto Iannaccone,Susanne Walitza,Daniel Brandeis,Silvia Brem,Raymond J. Dolan +6 more
TL;DR: A novel approach to analyzing simultaneous EEG-fMRI that allows to dissociate the individual time courses of brain regions is used, and it is found that vmPFC and dmPFC have distinguishable time courses and time-frequency patterns.