What is he best known for?
The fields of study he is best known for:
- Neuroscience
- Artificial intelligence
- Speech recognition
His primary scientific interests are in Auditory cortex, Neuroscience, Speech recognition, Auditory perception and Stimulus.
His work carried out in the field of Auditory cortex brings together such families of science as Receptive field, Perception, Communication, Sensory system and Tone.
His research in Speech recognition intersects with topics in Auditory system, Reverberation, Noise and Signal processing.
As part of the same scientific family, Shihab A. Shamma usually focuses on Auditory system, concentrating on Acoustics and intersecting with Intelligibility, Synchronism and Cochlear nucleus.
His Auditory perception research integrates issues from Tonotopy and Auditory attention.
His research investigates the link between Stimulus and topics such as Inhibitory postsynaptic potential that cross with problems in Nuclear magnetic resonance.
His most cited work include:
- Rapid task-related plasticity of spectrotemporal receptive fields in primary auditory cortex. (629 citations)
- Multiresolution spectrotemporal analysis of complex sounds (464 citations)
- Auditory representations of acoustic signals (446 citations)
What are the main themes of his work throughout his whole career to date?
Shihab A. Shamma focuses on Auditory cortex, Speech recognition, Neuroscience, Perception and Stimulus.
The Auditory cortex study combines topics in areas such as Acoustics, Receptive field, Sensory system, Cortex and Auditory perception.
His biological study spans a wide range of topics, including Auditory imagery and Communication.
Shihab A. Shamma has included themes like Pattern recognition, Auditory system and Timbre in his Speech recognition study.
The study incorporates disciplines such as Cognitive psychology and Cognitive science in addition to Perception.
He combines subjects such as Natural sounds, Psychoacoustics and Neural coding with his study of Stimulus.
He most often published in these fields:
- Auditory cortex (53.87%)
- Speech recognition (47.06%)
- Neuroscience (40.56%)
What were the highlights of his more recent work (between 2017-2021)?
- Neuroscience (40.56%)
- Auditory cortex (53.87%)
- Sensory system (20.43%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Neuroscience, Auditory cortex, Sensory system, Speech recognition and Perception.
His Auditory cortex study combines topics in areas such as Stimulus, Cognition, Artificial intelligence, Natural sounds and Pattern recognition.
His work in Stimulus covers topics such as Auditory system which are related to areas like Hearing impaired and Modulation.
His Sensory system research incorporates elements of Auditory imagery, Brain activity and meditation and Auditory scene analysis.
The concepts of his Speech recognition study are interwoven with issues in Tracking, Music listening, Auditory perception and Harmonic.
His Perception study incorporates themes from Timbre and Vocal tract.
Between 2017 and 2021, his most popular works were:
- Orbitofrontal Cortex Neurons Respond to Sound and Activate Primary Auditory Cortex Neurons (41 citations)
- Orbitofrontal Cortex Neurons Respond to Sound and Activate Primary Auditory Cortex Neurons (41 citations)
- Extracting neuronal functional network dynamics via adaptive Granger causality analysis (36 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Neuroscience
- Acoustics
His primary areas of investigation include Auditory cortex, Neuroscience, Sensory system, Receptive field and Stereotaxic technique.
He works on Auditory cortex which deals in particular with Tonotopy.
His work deals with themes such as Categorical variable and Active listening, which intersect with Neuroscience.
His Sensory system research is multidisciplinary, incorporating elements of Stimulus, Wakefulness and Prefrontal cortex.
His Stimulus research includes elements of Auditory system, Frontal cortex, Perception and Sensation.
His study in Receptive field is interdisciplinary in nature, drawing from both Orbitofrontal cortex, Laminar flow, Selective attention, Cortex and Local field potential.
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