What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Cognition
- Statistics
His primary areas of study are Perception, Cognitive psychology, Categorization, Social psychology and Artificial intelligence.
His work on Visual perception as part of general Perception research is frequently linked to Object, bridging the gap between disciplines.
His Cognitive psychology study integrates concerns from other disciplines, such as Grapheme-color synesthesia, Task and Cognition.
His Categorization study frequently involves adjacent topics like Concept learning.
His study in Social psychology is interdisciplinary in nature, drawing from both Facial recognition system, Face, Face perception and Information processing.
His Automaticity research is multidisciplinary, incorporating elements of Similarity and Random walk.
His most cited work include:
- Rule-Plus-Exception Model of Classification Learning. (621 citations)
- An Exemplar-Based Random Walk Model of Speeded Classification (578 citations)
- Inhibitory Control in Mind and Brain: An Interactive Race Model of Countermanding Saccades (414 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Cognitive psychology, Artificial intelligence, Categorization, Perception and Cognition.
His Cognitive psychology research is multidisciplinary, incorporating perspectives in Social psychology, Perceptual learning, Task, Visual perception and Recognition memory.
His Artificial intelligence research focuses on subjects like Natural language processing, which are linked to Context model.
The various areas that Thomas J. Palmeri examines in his Categorization study include Concept learning, Cognitive neuroscience of visual object recognition, Computational model and Similarity.
While the research belongs to areas of Perception, Thomas J. Palmeri spends his time largely on the problem of Cognitive science, intersecting his research to questions surrounding Cognitive neuroscience.
His study looks at the relationship between Cognition and fields such as Neurophysiology, as well as how they intersect with chemical problems.
He most often published in these fields:
- Cognitive psychology (38.41%)
- Artificial intelligence (36.42%)
- Categorization (33.77%)
What were the highlights of his more recent work (between 2015-2021)?
- Artificial intelligence (36.42%)
- Cognition (20.53%)
- Cognitive model (7.28%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Artificial intelligence, Cognition, Cognitive model, Machine learning and Cognitive psychology.
His research integrates issues of Accumulator and Pattern recognition in his study of Artificial intelligence.
His Cognitive model research incorporates elements of Cognitive science, Cognitive neuroscience and Statistical model.
His studies deal with areas such as Social psychology, Recognition memory, Experimental psychology and Perception as well as Cognitive psychology.
In his work, Task is strongly intertwined with Behavioral neuroscience, which is a subfield of Perception.
The Facial recognition system study combines topics in areas such as Categorization and Computational model.
Between 2015 and 2021, his most popular works were:
- Approaches to Analysis in Model-based Cognitive Neuroscience (94 citations)
- Models of inhibitory control (60 citations)
- The Quality of Response Time Data Inference: A Blinded, Collaborative Assessment of the Validity of Cognitive Models (44 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Cognition
- Statistics
His main research concerns Artificial intelligence, Machine learning, Cognitive model, Cognitive science and Cognition.
Thomas J. Palmeri interconnects Accumulator and Psychophysics in the investigation of issues within Artificial intelligence.
His research in Machine learning intersects with topics in Point estimation, Estimation theory and Bayesian probability, Markov chain Monte Carlo.
His studies in Cognitive model integrate themes in fields like Inference, Cognitive neuroscience, Two-alternative forced choice, Statistical model and Functional neuroimaging.
His work carried out in the field of Cognitive science brings together such families of science as Class, Neurophysiology, Response inhibition and Inhibitory control.
His Cognition research is multidisciplinary, relying on both Response bias and Neural activity.
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