M
Matthew H. Davis
Researcher at Cognition and Brain Sciences Unit
Publications - 172
Citations - 17144
Matthew H. Davis is an academic researcher from Cognition and Brain Sciences Unit. The author has contributed to research in topics: Speech perception & Priming (psychology). The author has an hindex of 60, co-authored 159 publications receiving 15123 citations. Previous affiliations of Matthew H. Davis include London Health Sciences Centre & Medical Research Council.
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Journal ArticleDOI
Detecting Awareness in the Vegetative State
Adrian M. Owen,Martin R. Coleman,Mélanie Boly,Matthew H. Davis,Steven Laureys,John D. Pickard +5 more
TL;DR: Functional magnetic resonance imaging was used to demonstrate preserved conscious awareness in a patient fulfilling the criteria for a diagnosis of vegetative state and the patient activated predicted cortical areas in a manner indistinguishable from that of healthy volunteers.
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Hierarchical Processing in Spoken Language Comprehension
TL;DR: Functional magnetic resonance imaging is used to explore the brain regions that are involved in spoken language comprehension, fractionating this system into sound-based and more abstract higher-level processes.
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Individual Differences in Reward Drive Predict Neural Responses to Images of Food
John D. Beaver,Andrew D. Lawrence,Jenneke van Ditzhuijzen,Matthew H. Davis,Andy T. Woods,Andrew J. Calder +5 more
TL;DR: Using functional magnetic resonance imaging, this work reports that individual variation in trait reward sensitivity (as measured by the Behavioral Activation Scale) is highly correlated with activation to images of appetizing foods in a fronto–striatal–amygdala–midbrain network.
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The Neural Mechanisms of Speech Comprehension: fMRI studies of Semantic Ambiguity
TL;DR: Two functional magnetic resonance studies use the phenomenon of semantic ambiguity to identify regions within the fronto-temporal language network that subserve the semantic aspects of spoken language comprehension.
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Speech recognition in adverse conditions: A review
TL;DR: A review of the effects of adverse conditions (ACs) on the perceptual, linguistic, cognitive, and neurophysiological mechanisms underlying speech recognition is presented in this paper, where the authors advocate an approach to speech recognition that includes rather than neutralises complex listening environments and individual differences.