What is he best known for?
The fields of study he is best known for:
- Neuroscience
- Artificial intelligence
- Cognition
Scott T. Grafton mainly investigates Neuroscience, Cognitive psychology, Cognition, Posterior parietal cortex and Brain mapping.
The concepts of his Neuroscience study are interwoven with issues in Premotor cortex and Cerebral blood flow.
His Cognitive psychology research incorporates themes from Parietal lobe, Perception and Functional magnetic resonance imaging, Angular gyrus.
His studies deal with areas such as Cognitive science and Human brain as well as Cognition.
His Posterior parietal cortex study combines topics from a wide range of disciplines, such as Lateralization of brain function and Transcranial magnetic stimulation.
His work carried out in the field of Brain mapping brings together such families of science as Magnetic resonance imaging and Lobe, Anatomy.
His most cited work include:
- Wandering Minds: The Default Network and Stimulus-Independent Thought (2051 citations)
- Automated Image Registration: I. General Methods and Intrasubject, Intramodality Validation (1622 citations)
- Dynamic reconfiguration of human brain networks during learning. (1061 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Neuroscience, Cognitive psychology, Artificial intelligence, Cognition and Brain mapping.
His Neuroscience study which covers Premotor cortex that intersects with Supplementary motor area.
While the research belongs to areas of Cognitive psychology, Scott T. Grafton spends his time largely on the problem of Motor skill, intersecting his research to questions surrounding Motor learning.
The study incorporates disciplines such as Machine learning, Connectome, Computer vision and Pattern recognition in addition to Artificial intelligence.
Cognition and Cognitive science are commonly linked in his work.
His research is interdisciplinary, bridging the disciplines of Transcranial magnetic stimulation and Brain mapping.
He most often published in these fields:
- Neuroscience (41.19%)
- Cognitive psychology (18.97%)
- Artificial intelligence (16.26%)
What were the highlights of his more recent work (between 2017-2021)?
- Neuroscience (41.19%)
- Artificial intelligence (16.26%)
- Cognitive psychology (18.97%)
In recent papers he was focusing on the following fields of study:
Scott T. Grafton focuses on Neuroscience, Artificial intelligence, Cognitive psychology, Diffusion MRI and Menstrual cycle.
His Neuroimaging, Prefrontal cortex, Brain activity and meditation, Hippocampus and Primary motor cortex study are his primary interests in Neuroscience.
His Artificial intelligence research includes themes of State, Computer vision and Pattern recognition.
His research in Cognitive psychology intersects with topics in Cognition, Selection and Motor skill.
Scott T. Grafton has included themes like White matter, Voxel and Human Connectome Project in his Diffusion MRI study.
His biological study spans a wide range of topics, including Posterior parietal cortex and Set.
Between 2017 and 2021, his most popular works were:
- The Energy Landscape of Neurophysiological Activity Implicit in Brain Network Structure. (49 citations)
- Spectral mapping of brain functional connectivity from diffusion imaging. (44 citations)
- Predicting future learning from baseline network architecture. (34 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Neuroscience
- Cognition
His primary areas of study are Diffusion MRI, Cognitive psychology, Neuroscience, Human brain and Voxel.
His Diffusion MRI research includes elements of Neurophysiology, White matter and Spatial normalization.
His Cognitive psychology research incorporates themes from Dreyfus model of skill acquisition, Cognition, Motor skill and Choking.
His work on Automaticity as part of general Cognition research is frequently linked to Graph theory, thereby connecting diverse disciplines of science.
The Neuroscience study combines topics in areas such as Hormone and Menstrual cycle.
His research on Voxel also deals with topics like
- Tractography and related Algorithm, Orientation and Imaging phantom,
- Human Connectome Project which intersects with area such as Biological system, Probabilistic logic, Fractional anisotropy and Brain mapping.
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