What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Cognition
- Functional magnetic resonance imaging
Matthew H. Davis mostly deals with Functional magnetic resonance imaging, Speech perception, Cognitive psychology, Cognition and Speech recognition.
His Functional magnetic resonance imaging study combines topics in areas such as Consciousness Disorders, Minimally conscious state, Functional imaging, Neural correlates of consciousness and Brain mapping.
His research in Speech perception intersects with topics in Sentence, Inferior frontal gyrus, Comprehension and Perceptual learning.
His Cognitive psychology research incorporates themes from Superior temporal gyrus and Spoken language.
His Cognition study incorporates themes from Contrast, Spoken word recognition and Word learning.
His study of Intelligibility is a part of Speech recognition.
His most cited work include:
- Detecting Awareness in the Vegetative State (1184 citations)
- Hierarchical Processing in Spoken Language Comprehension (539 citations)
- Individual Differences in Reward Drive Predict Neural Responses to Images of Food (511 citations)
What are the main themes of his work throughout his whole career to date?
Cognitive psychology, Speech perception, Speech recognition, Perception and Cognition are his primary areas of study.
His Cognitive psychology study integrates concerns from other disciplines, such as Comprehension, Lexical decision task, Reading, Pseudoword and Ambiguity.
His studies deal with areas such as Audiology, Sensory system and Speech processing as well as Speech perception.
He has researched Speech recognition in several fields, including Perceptual learning and Active listening.
His biological study deals with issues like Auditory cortex, which deal with fields such as Communication.
His Cognition study combines topics from a wide range of disciplines, such as Functional magnetic resonance imaging, Categorization and Spoken word recognition.
He most often published in these fields:
- Cognitive psychology (39.26%)
- Speech perception (27.61%)
- Speech recognition (26.99%)
What were the highlights of his more recent work (between 2015-2021)?
- Speech perception (27.61%)
- Perception (23.93%)
- Cognitive psychology (39.26%)
In recent papers he was focusing on the following fields of study:
Speech perception, Perception, Cognitive psychology, Speech recognition and Comprehension are his primary areas of study.
His Speech perception research includes elements of Sensory system, Speech processing and Electroencephalography.
His Perception research incorporates themes from Response bias, Artificial intelligence and Pattern recognition.
His research integrates issues of Cognition, Magnetoencephalography, Reading, Vocabulary and Ambiguity in his study of Cognitive psychology.
His work deals with themes such as Neural activity, Neurocomputational speech processing, Active listening and Bayesian inference, which intersect with Speech recognition.
Matthew H. Davis interconnects Functional magnetic resonance imaging, Categorical perception and Perceptual learning in the investigation of issues within Neurocomputational speech processing.
Between 2015 and 2021, his most popular works were:
- Phase Entrainment of Brain Oscillations Causally Modulates Neural Responses to Intelligible Speech (90 citations)
- Prediction errors but not sharpened signals simulate multivoxel fMRI patterns during speech perception (63 citations)
- Perceptual learning of degraded speech by minimizing prediction error (59 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Cognition
- Perception
His primary areas of investigation include Perception, Speech perception, Cognitive psychology, Speech recognition and Comprehension.
His Perception research is multidisciplinary, incorporating perspectives in Electroencephalography, Magnetoencephalography and Sensory system.
His Speech perception research incorporates elements of Superior temporal gyrus, Phonetics and Speech processing.
As a part of the same scientific study, he usually deals with the Cognitive psychology, concentrating on Cognition and frequently concerns with Categorization, Voice and Ambiguity.
His work in Speech recognition covers topics such as Neurocomputational speech processing which are related to areas like Functional magnetic resonance imaging, Categorical perception and Perceptual learning.
His work carried out in the field of Comprehension brings together such families of science as Identity, Context, Meaning, Sentence and Stress.
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