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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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A common mechanism for adaptive scaling of reward and novelty

TL;DR: Using functional magnetic resonance imaging in humans, it is shown that the influence of novelty and reward on memory formation in an incidental memory task is adaptively scaled and furthermore that the BOLD signal in orbital prefrontal and medial temporal cortices exhibits concomitant scaled adaptive coding.
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The modulation of savouring by prediction error and its effects on choice.

TL;DR: This work hypothesized that this preference of advance information arises because reward prediction errors carried by such information can boost the level of anticipation, and formulated this proposal in a reinforcement-learning model.
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Experience-dependent coding of facial expression in superior temporal sulcus.

TL;DR: It is shown that evoked fields arising from the superior temporal sulcus (STS) reflect the degree to which a morph and adapted expression deviate and adaptation effects within STS predict the magnitude of behavioral aftereffects.
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Effects of loss aversion on post-decision wagering: implications for measures of awareness.

TL;DR: A signal detection model is proposed which predicts that advantageous wagers placed on the identity of preceding stimuli are affected by loss aversion, despite stimulus visibility remaining constant.
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Dissociable Reward and Timing Signals in Human Midbrain and Ventral Striatum

TL;DR: It is shown that BOLD activity in the VTA conforms to TD predictions: responses to unexpected rewards are modulated by a temporal hazard function and activity between a predictive stimulus and reward is depressed in proportion to predicted reward.