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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Neural Response during Preference and Memory Judgments for Subliminally Presented Stimuli: A Functional Neuroimaging Study
Rebecca Elliott,Raymond J. Dolan +1 more
TL;DR: The results suggest that hippocampal response to stimulus novelty can be independent of conscious reportability of familiarity, and activations of a memory system independent of recollective experience are demonstrated.
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Neural activity associated with the passive prediction of ambiguity and risk for aversive events
TL;DR: In this article, the authors compared ambiguity, defined as a lack of information about outcome probabilities, to risk, where outcome probabilities are known, or ignorance, where outcomes are completely unknown and unknowable.
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Unmasking Latent Inhibitory Connections in Human Cortex to Reveal Dormant Cortical Memories
Helen C. Barron,Helen C. Barron,Tim P. Vogels,Uzay E. Emir,Tamar R. Makin,Jacinta O'Shea,Stuart Clare,Saad Jbabdi,Raymond J. Dolan,Timothy E.J. Behrens,Timothy E.J. Behrens +10 more
TL;DR: Modulated excitation/inhibition balance with transcranial direct current stimulation is modulated and it is shown that reducing GABA allows cortical associations to be re-expressed, suggesting that in humans associative memories are stored in balanced excitatory-inhibitory ensembles that lie dormant unless latent inhibitory connections are unmasked.
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Outlier responses reflect sensitivity to statistical structure in the human brain
TL;DR: The results demonstrate a very early neurophysiological marker of the brain's ability to implicitly encode complex statistical structure in the environment and suggest that this sensitivity provides a computational basis for the ability to make perceptual inferences in noisy environments and to make decisions in an uncertain world.
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Role of Features and Second-order Spatial Relations in Face Discrimination, Face Recognition, and Individual Face Skills: Behavioral and Functional Magnetic Resonance Imaging Data
TL;DR: It is found that judging whether two successive faces depicted the same person was dominated by features, although second-order spatial relations also contributed, and distinct neural responses to these aspects were found with functional magnetic resonance imaging, particularly when individual skills were taken into account for the impact of second- order spatial relations.