What is he best known for?
The fields of study he is best known for:
- Neuroscience
- Artificial intelligence
- Cerebral cortex
Martin I. Sereno mostly deals with Neuroscience, Visual cortex, Functional magnetic resonance imaging, Retinotopy and Brain mapping.
His is doing research in Human brain, Visual perception, Cortex, Parietal lobe and Posterior parietal cortex, both of which are found in Neuroscience.
His Cortex study deals with Cerebral cortex intersecting with Cortical surface, Surface reconstruction, Cortical abnormalities and Segmentation.
His Visual cortex research is multidisciplinary, relying on both Motion aftereffect, N2pc, Visual N1 and P200.
His Functional magnetic resonance imaging research includes elements of Temporal cortex, Cerebral hemisphere, Communication, Working memory and Premotor cortex.
In his study, which falls under the umbrella issue of Retinotopy, Foveal is strongly linked to Macaque.
His most cited work include:
- Cortical surface-based analysis. I. Segmentation and surface reconstruction (7247 citations)
- Cortical Surface-Based Analysis II: Inflation, Flattening, and a Surface-Based Coordinate System (4597 citations)
- High-resolution intersubject averaging and a coordinate system for the cortical surface. (2365 citations)
What are the main themes of his work throughout his whole career to date?
Martin I. Sereno mainly investigates Neuroscience, Visual cortex, Functional magnetic resonance imaging, Artificial intelligence and Visual field.
His study involves Brain mapping, Cortex, Posterior parietal cortex, Receptive field and Retinotopy, a branch of Neuroscience.
In his research on the topic of Brain mapping, Cerebral cortex is strongly related with Macaque.
His Visual cortex research is multidisciplinary, incorporating perspectives in Visual perception and Human brain.
His studies deal with areas such as Stimulus, Visual space and Fixation as well as Functional magnetic resonance imaging.
His studies in Artificial intelligence integrate themes in fields like Somatosensory system, Perception, Sensory stimulation therapy, Computer vision and Pattern recognition.
He most often published in these fields:
- Neuroscience (78.05%)
- Visual cortex (37.07%)
- Functional magnetic resonance imaging (25.37%)
What were the highlights of his more recent work (between 2017-2021)?
- Neuroscience (78.05%)
- Somatosensory system (23.41%)
- Visual field (24.88%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Neuroscience, Somatosensory system, Visual field, Artificial intelligence and Functional magnetic resonance imaging.
Receptive field, Cerebellum, Cerebellar cortex, Cerebral cortex and Cortex are among the areas of Neuroscience where Martin I. Sereno concentrates his study.
Within one scientific family, Martin I. Sereno focuses on topics pertaining to Cortex under Cerebral cortex, and may sometimes address concerns connected to Human brain.
His Visual field study frequently links to related topics such as Visual cortex.
His research in Visual cortex is mostly focused on Retinotopy.
The various areas that Martin I. Sereno examines in his Artificial intelligence study include Space, Diffusion profile, Computer vision and Pattern recognition.
Between 2017 and 2021, his most popular works were:
- Visually-Driven Maps in Area 3b. (21 citations)
- Multisensory and sensorimotor maps. (18 citations)
- The human cerebellum has almost 80% of the surface area of the neocortex (15 citations)
In his most recent research, the most cited papers focused on:
- Neuroscience
- Artificial intelligence
- Cerebral cortex
The scientist’s investigation covers issues in Neuroscience, Cerebellar cortex, Cerebellum, Cerebral cortex and Neocortex.
His work is connected to Human brain, Retinotopy, Intraparietal sulcus, Cingulate sulcus and Postcentral sulcus, as a part of Neuroscience.
His work in Human brain covers topics such as Neuroimaging which are related to areas like Somatosensory system.
His Retinotopy research focuses on subjects like Contrast, which are linked to Visual cortex.
His study looks at the intersection of Visual cortex and topics like Pattern recognition with Precuneus.
Many of his studies on Cerebral cortex involve topics that are commonly interrelated, such as Cortex.
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