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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Episodic memory retrieval is supported by rapid replay of episode content
G. Elliott Wimmer,Yunzhe Liu,Neža Vehar,Timothy E.J. Behrens,Timothy E.J. Behrens,Raymond J. Dolan +5 more
TL;DR: In this article, the fine-grained neurophysiological mechanisms that support memory retrieval from memory were uncovered. But their results were limited to the retrieval of multi-component episodes.
Posted ContentDOI
Replay bursts coincide with activation of the default mode and parietal alpha network
Cameron Higgins,Yunzhe Liu,Yunzhe Liu,Diego Vidaurre,Diego Vidaurre,Zeb Kurth-Nelson,Raymond J. Dolan,Raymond J. Dolan,Timothy E.J. Behrens,Timothy E.J. Behrens,Mark W. Woolrich +10 more
TL;DR: The data show a tight correspondence between two widely studied phenomena of neural physiology and suggest the DMN may coordinate replay bursts in a manner that minimizes interference with ongoing cognition.
Journal ArticleDOI
The effect of visual salience on memory-based choices
Arezoo Pooresmaeili,Dominik R. Bach,Dominik R. Bach,Dominik R. Bach,Raymond J. Dolan,Raymond J. Dolan +5 more
TL;DR: This study investigates whether manipulation of bottom-up attention by changing stimulus visual salience impacts on later stages of memory-based decisions and interpret the findings in terms of capacity limitations at a comparison stage where a visually salient item is more likely to exhaust resources leading it to be prematurely parsed as a match.
Journal ArticleDOI
Representation of probabilistic outcomes during risky decision-making
Giuseppe Castegnetti,Athina Tzovara,Saurabh Khemka,Filip Melinscak,Gareth R. Barnes,Raymond J. Dolan,Dominik R. Bach +6 more
TL;DR: Decodable outcome representations during probabilistic decision-making are demonstrated, which are sequentially structured, depend on task features, and predict subsequent action.
Journal ArticleDOI
Distinct encoding of risk and value in economic choice between multiple risky options
TL;DR: The authors found representations of EV in medial prefrontal cortex and anterior insula, an encoding that was dependent on which option was chosen (i.e. chosen and unchosen EV) and whether the choice was over gains or losses, while activity in a network of regions that also included parietal cortex reflected both combined risk and difference in risk for the two options.