What is he best known for?
The fields of study he is best known for:
- Neuroscience
- Statistics
- Functional magnetic resonance imaging
Auditory cortex, Auditory perception, Stimulus, Neuroscience and Functional magnetic resonance imaging are his primary areas of study.
His Auditory cortex study frequently links to related topics such as Percept.
His Auditory perception study is focused on Perception in general.
In his research, Pattern recognition, Artificial intelligence, Surprise and Bioinformatics is intimately related to Local field potential, which falls under the overarching field of Stimulus.
His study in the fields of Valence, Nerve net, Amygdala and Time perception under the domain of Neuroscience overlaps with other disciplines such as Feeling.
His studies in Functional magnetic resonance imaging integrate themes in fields like Planum temporale, Speech recognition, Dorsolateral prefrontal cortex and Feature.
His most cited work include:
- Distinct neural substrates of duration-based and beat-based auditory timing. (237 citations)
- Features versus feelings: dissociable representations of the acoustic features and valence of aversive sounds. (96 citations)
- Features versus feelings: dissociable representations of the acoustic features and valence of aversive sounds. (96 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Auditory cortex, Neuroscience, Perception, Stimulus and Auditory perception.
His work deals with themes such as Planum temporale, Functional magnetic resonance imaging, Artificial intelligence, Local field potential and Pattern recognition, which intersect with Auditory cortex.
He usually deals with Perception and limits it to topics linked to Loudness and Thalamus and Limbic lobe.
His Stimulus study combines topics in areas such as Intraparietal sulcus, Speech recognition, Psychophysics and Bioinformatics.
His Bioinformatics study incorporates themes from Log probability and Surprise.
His Auditory perception research incorporates elements of Cognitive psychology, Natural sounds and Speech perception.
He most often published in these fields:
- Auditory cortex (77.01%)
- Neuroscience (66.67%)
- Perception (52.87%)
What were the highlights of his more recent work (between 2018-2021)?
- Auditory cortex (77.01%)
- Neuroscience (66.67%)
- Cortex (6.90%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Auditory cortex, Neuroscience, Cortex, Electrocorticography and Gyrus.
Sukhbinder Kumar has researched Auditory cortex in several fields, including Mirror neuron, Pattern analysis, Coding, Posterior parietal cortex and Pattern recognition.
In his study, which falls under the umbrella issue of Posterior parietal cortex, Perception is strongly linked to Cortex.
Sukhbinder Kumar combines subjects such as Cognitive psychology, Loudness, Functional magnetic resonance imaging, Neuroimaging and Sensory cortex with his study of Perception.
His primary area of study in Neuroscience is in the field of Local field potential.
His research in Electrocorticography intersects with topics in Superior temporal gyrus, Electrophysiology, Stimulus, Working memory and Planum temporale.
Between 2018 and 2021, his most popular works were:
- How Can Hearing Loss Cause Dementia (8 citations)
- Direct electrophysiological mapping of human pitch-related processing in auditory cortex (4 citations)
- Direct electrophysiological mapping of human pitch-related processing in auditory cortex (4 citations)
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