What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Neuroscience
- Cognition
The scientist’s investigation covers issues in Neuroscience, Cognitive psychology, Cognition, Visual perception and Perception.
His work investigates the relationship between Neuroscience and topics such as Diffusion MRI that intersect with problems in Color vision, White matter and Developmental psychology.
His Cognitive psychology research focuses on Information processing in particular.
His work deals with themes such as Stimulus and Consciousness, which intersect with Cognition.
His research integrates issues of Visual processing, Cognitive neuroscience, Illusion, Visual cortex and Developmental disorder in his study of Visual perception.
His work on Inattentional blindness as part of general Perception research is frequently linked to Foveal, bridging the gap between disciplines.
His most cited work include:
- Increased structural connectivity in grapheme-color synesthesia (326 citations)
- Are there multiple visual short-term memory stores? (296 citations)
- Function and structure of the right inferior frontal cortex predict individual differences in response inhibition: A model-based approach (210 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Cognitive psychology, Artificial intelligence, Neuroscience, Perception and Visual cortex.
H. Steven Scholte has included themes like Stimulus, Consciousness, Theory of mind and Visual short-term memory in his Cognitive psychology study.
His Stimulus research focuses on Cognition and how it connects with Developmental psychology and Natural language processing.
His studies in Artificial intelligence integrate themes in fields like Visual processing, Computer vision and Pattern recognition.
His research investigates the link between Perception and topics such as Sensory system that cross with problems in Information processing.
His Visual cortex research includes elements of Binocular rivalry, Functional magnetic resonance imaging and Visual memory.
He most often published in these fields:
- Cognitive psychology (33.88%)
- Artificial intelligence (25.62%)
- Neuroscience (23.97%)
What were the highlights of his more recent work (between 2016-2021)?
- Artificial intelligence (25.62%)
- Pattern recognition (11.57%)
- Cognitive psychology (33.88%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Artificial intelligence, Pattern recognition, Cognitive psychology, Neuroimaging and Task.
His work focuses on many connections between Artificial intelligence and other disciplines, such as Computer vision, that overlap with his field of interest in Functional magnetic resonance imaging.
H. Steven Scholte interconnects Categorization and Visual cortex in the investigation of issues within Functional magnetic resonance imaging.
His Pattern recognition research incorporates themes from Artificial neural network, Energy, Sensory system and Contrast.
H. Steven Scholte has researched Cognitive psychology in several fields, including Curiosity, Anterior cingulate cortex, Anterior insula, Theory of mind and Harm.
His studies deal with areas such as Feature and Visual system as well as Perception.
Between 2016 and 2021, his most popular works were:
- How to control for confounds in decoding analyses of neuroimaging data. (32 citations)
- Pupil mimicry promotes trust through the theory-of-mind network (24 citations)
- Exome Chip Meta-analysis Fine Maps Causal Variants and Elucidates the Genetic Architecture of Rare Coding Variants in Smoking and Alcohol Use (23 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Neuroscience
- Cognition
The scientist’s investigation covers issues in Cognitive psychology, Pupil, Spiking neural network, Neural coding and Artificial intelligence.
H. Steven Scholte interconnects Classifier and Self-concept in the investigation of issues within Cognitive psychology.
The study incorporates disciplines such as Arousal, Fear conditioning, Audiology and Insula in addition to Pupil.
His Spiking neural network study combines topics from a wide range of disciplines, such as Models of neural computation and Pattern recognition.
His work carried out in the field of Neural coding brings together such families of science as Coding, Computation and Neuron.
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