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Nicholas Furl

Researcher at Royal Holloway, University of London

Publications -  34
Citations -  1530

Nicholas Furl is an academic researcher from Royal Holloway, University of London. The author has contributed to research in topics: Face perception & Facial expression. The author has an hindex of 19, co-authored 29 publications receiving 1341 citations. Previous affiliations of Nicholas Furl include Cognition and Brain Sciences Unit & University College London.

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Face recognition algorithms and the other-race effect: computational mechanisms for a developmental contact hypothesis

TL;DR: A developmental learning process that warps the perceptual space to enhance the encoding of distinctions relevant for own-race faces is suggested, which limits the quality of face representations for other- race faces.
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Voxel-based morphometry reveals reduced grey matter volume in the temporal cortex of developmental prosopagnosics

TL;DR: It is demonstrated that developmental prosopagnosics have reduced grey matter volume in several regions known to respond selectively to faces and provide new evidence that integrity of these areas relates to face recognition ability.
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Fusiform gyrus face selectivity relates to individual differences in facial recognition ability

TL;DR: Findings associate individual differences in face processing ability with selectivity in core face processing regions, confirming that face selectivity can provide a valid marker for neural mechanisms that contribute to face identification ability.
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Parietal Cortex and Insula Relate to Evidence Seeking Relevant to Reward-Related Decisions

TL;DR: The findings show that participants sought less evidence than predicted by an ideal observer model and their evidence-seeking behavior may relate to responses in the insula and parietal cortex.
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Rewarding feedback after correct visual discriminations has both general and specific influences on visual cortex.

TL;DR: Functional magnetic resonance imaging is used to investigate how rewarding feedback affected activity in distinct areas of human visual cortex, separating rewarding feedback events after correct performance from consequences of reward for spatially specific responses in V1.