What is he best known for?
The fields of study he is best known for:
- Neuroscience
- Internal medicine
- Artificial intelligence
Ramesh Rajan spends much of his time researching Auditory cortex, Neuroscience, Tonotopy, Audiology and Electrophysiology.
His Auditory cortex research incorporates themes from Sound pressure, Auditory system and Anatomy.
As part of his studies on Neuroscience, he often connects relevant subjects like Plasticity.
His work in Tonotopy tackles topics such as Acoustics which are related to areas like Cortical surface and Dynamic range.
His work on Cochlea as part of general Audiology research is often related to Auditory fatigue, thus linking different fields of science.
His Electrophysiology research includes themes of Stimulus and Communication.
His most cited work include:
- Effect of unilateral partial cochlear lesions in adult cats on the representation of lesioned and unlesioned cochleas in primary auditory cortex (313 citations)
- Receptor organ damage causes loss of cortical surround inhibition without topographic map plasticity (145 citations)
- Cortical reorganization in patients with high frequency cochlear hearing loss (135 citations)
What are the main themes of his work throughout his whole career to date?
Ramesh Rajan mostly deals with Neuroscience, Audiology, Auditory cortex, Cochlea and Electrophysiology.
The Audiology study combines topics in areas such as Stimulus and Olivocochlear bundle.
In his study, which falls under the umbrella issue of Stimulus, Neural coding is strongly linked to Speech recognition.
His Tonotopy study in the realm of Auditory cortex interacts with subjects such as Marmoset.
In his work, Round window and Tonic is strongly intertwined with Stimulation, which is a subfield of Cochlea.
His study looks at the relationship between Electrophysiology and fields such as Communication, as well as how they intersect with chemical problems.
He most often published in these fields:
- Neuroscience (46.85%)
- Audiology (36.36%)
- Auditory cortex (27.27%)
What were the highlights of his more recent work (between 2016-2021)?
- Neuroscience (46.85%)
- Marmoset (11.89%)
- Visual cortex (9.79%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Neuroscience, Marmoset, Visual cortex, Stimulus modality and Auditory area.
His Neuroscience study focuses mostly on Visual perception, Hippocampus, Cortex, Motor cortex and Parvalbumin.
You can notice a mix of various disciplines of study, such as Auditory cortex, Macaque, Middle temporal area and Neuron, in his Marmoset studies.
Many of his studies involve connections with topics such as Primate and Auditory cortex.
Ramesh Rajan works mostly in the field of Visual cortex, limiting it down to concerns involving Computer vision and, occasionally, Human–computer interaction.
His Audiology research is multidisciplinary, incorporating perspectives in Context and Speech perception.
Between 2016 and 2021, his most popular works were:
- Sensitivity of neurons in the middle temporal area of marmoset monkeys to random dot motion. (18 citations)
- Unidirectional monosynaptic connections from auditory areas to the primary visual cortex in the marmoset monkey. (18 citations)
- Unidirectional monosynaptic connections from auditory areas to the primary visual cortex in the marmoset monkey. (18 citations)
In his most recent research, the most cited papers focused on:
- Neuroscience
- Internal medicine
- Artificial intelligence
His scientific interests lie mostly in Neuroscience, Visual cortex, Auditory area, Stimulus modality and Marmoset.
Much of his study explores Neuroscience relationship to Neurological sequela.
His study in Visual cortex is interdisciplinary in nature, drawing from both Human–computer interaction, Computer vision and Artificial intelligence.
His biological study spans a wide range of topics, including Motion, Visual perception, Multisensory integration, Perception and Cerebral cortex.
Marmoset is integrated with Primate, Peripheral vision, Macaque, Auditory cortex and Middle temporal area in his research.
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