What is he best known for?
The fields of study he is best known for:
- Neuroscience
- Cognition
- Perception
Gavin M. Bidelman mostly deals with Perception, Speech perception, Audiology, Communication and Cognitive psychology.
His Speech perception study combines topics in areas such as Electroencephalography, Frequency following response and Auditory cortex.
His Audiology research includes themes of Auditory scene analysis, Active listening and Brainstem.
His study in Communication is interdisciplinary in nature, drawing from both Fundamental frequency, Speech recognition, Neural correlates of consciousness, Pitch and Pitch Discrimination.
The Speech recognition study combines topics in areas such as Degree, Sensory system and Mandarin Chinese.
His research on Cognitive psychology frequently links to adjacent areas such as Cognition.
His most cited work include:
- Cross-domain effects of music and language experience on the representation of pitch in the human auditory brainstem (228 citations)
- Effects of reverberation on brainstem representation of speech in musicians and non-musicians. (156 citations)
- Tone Language Speakers and Musicians Share Enhanced Perceptual and Cognitive Abilities for Musical Pitch: Evidence for Bidirectionality between the Domains of Language and Music (148 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Perception, Audiology, Electroencephalography, Speech perception and Speech recognition.
His research integrates issues of Cognitive psychology, Sensory cue, Communication and Auditory cortex in his study of Perception.
His Audiology research is multidisciplinary, relying on both Active listening and Brainstem.
He has included themes like Frequency following response, Cognition, Sensory system and Support vector machine in his Electroencephalography study.
His work in Speech perception covers topics such as Noise which are related to areas like Transcription.
His studies in Speech recognition integrate themes in fields like Stimulus, Categorical perception, Categorization and Mandarin Chinese.
He most often published in these fields:
- Perception (61.29%)
- Audiology (52.15%)
- Electroencephalography (51.08%)
What were the highlights of his more recent work (between 2019-2021)?
- Electroencephalography (51.08%)
- Categorical perception (34.41%)
- Categorization (30.11%)
In recent papers he was focusing on the following fields of study:
Electroencephalography, Categorical perception, Categorization, Perception and Audiology are his primary areas of study.
His Electroencephalography research incorporates themes from Sensory system, Feature selection and Support vector machine.
His Categorical perception study frequently links to adjacent areas such as Speech recognition.
His Perception research incorporates elements of Cognitive psychology, Categorical variable and Frequency following response.
His Audiology research is multidisciplinary, incorporating perspectives in Speech perception and Noise.
The various areas that he examines in his Speech perception study include Mild hearing impairment, Noise and Connectomics.
Between 2019 and 2021, his most popular works were:
- Decoding of single-trial EEG reveals unique states of functional brain connectivity that drive rapid speech categorization decisions. (12 citations)
- Effects of Noise on the Behavioral and Neural Categorization of Speech. (10 citations)
- Effects of Noise on the Behavioral and Neural Categorization of Speech. (10 citations)
In his most recent research, the most cited papers focused on:
- Neuroscience
- Cognition
- Perception
Gavin M. Bidelman spends much of his time researching Categorical perception, Perception, Categorization, Speech perception and Speech recognition.
The study incorporates disciplines such as Cognitive psychology, Categorical variable and Cocktail party in addition to Perception.
His biological study spans a wide range of topics, including Auditory cortex, Neural correlates of consciousness, Noise and Electroencephalography.
His Speech perception study combines topics from a wide range of disciplines, such as Subjective constancy, Stimulus, RAPID SPEECH and Audiology.
His Audiology research is multidisciplinary, incorporating elements of Inferior frontal gyrus, Sensory system, Feature vector and Masking.
His studies deal with areas such as Working memory and Cognition as well as Speech recognition.
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