The scientist’s investigation covers issues in Categorization, Cognition, Concept learning, Cognitive psychology and Artificial intelligence. His Categorization research is multidisciplinary, incorporating perspectives in Cognitive science, Neuroscience, Perception and Procedural memory. His Cognition research incorporates themes from Univariate, Interstimulus interval, Linear model, Functional magnetic resonance imaging and Regression analysis.
His biological study spans a wide range of topics, including Discrimination learning, Social psychology, Cognitive neuroscience and Information integration. His research in Cognitive psychology intersects with topics in Neuropsychology, Working memory, Multi-task learning, Systems theory and Psychophysics. His study in Artificial intelligence is interdisciplinary in nature, drawing from both Machine learning and Natural language processing.
F. Gregory Ashby focuses on Categorization, Concept learning, Cognitive psychology, Artificial intelligence and Cognition. His studies deal with areas such as Social psychology, Stimulus, Neuroscience, Information integration and Procedural memory as well as Categorization. F. Gregory Ashby interconnects Discrimination learning, Cognitive science, Cognitive neuroscience, Rule-based system and Variety in the investigation of issues within Concept learning.
His Cognitive psychology research incorporates elements of Working memory, Neuropsychology, Automaticity and Comparative cognition. His Artificial intelligence study integrates concerns from other disciplines, such as Natural language processing, Machine learning, Perception and Pattern recognition. His studies in Cognition integrate themes in fields like Association and Parkinson's disease.
Categorization, Cognitive psychology, Concept learning, Artificial intelligence and Cognition are his primary areas of study. The concepts of his Categorization study are interwoven with issues in Implicit learning, Stimulus, Similarity, Rule-based system and Variety. His Cognitive psychology research includes elements of Social psychology, Information integration, Cognitive neuroscience, Procedural memory and Automaticity.
His Concept learning study incorporates themes from Perception, Communication, Association, Cognitive science and Task analysis. The study incorporates disciplines such as Identification, Machine learning, Pattern recognition and Natural language processing in addition to Artificial intelligence. F. Gregory Ashby has included themes like Associative learning and Parkinson's disease in his Cognition study.
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A neuropsychological theory of positive affect and its influence on cognition.
F. Gregory Ashby;Alice M. Isen;And U. Turken.
Psychological Review (1999)
The Stochastic Modeling of Elementary Psychological Processes
James T. Townsend;F. Gregory Ashby.
A neuropsychological theory of multiple systems in category learning.
F. Gregory Ashby;Leola A. Alfonso-Reese;And U. Turken;Elliott M. Waldron.
Psychological Review (1998)
Human Category Learning
F. Gregory Ashby;W. Todd Maddox.
Annual Review of Psychology (2005)
Varieties of perceptual independence.
F. Gregory Ashby;James T. Townsend.
Psychological Review (1986)
Decision rules in the perception and categorization of multidimensional stimuli.
F. Gregory Ashby;Ralph E. Gott.
Journal of Experimental Psychology: Learning, Memory and Cognition (1988)
Influence of Positive Affect on the Subjective Utility of Gains and Losses: It Is Just Not Worth the Risk
A M Isen;T E Nygren;F G Ashby.
Journal of Personality and Social Psychology (1988)
Toward a Unified Theory of Similarity and Recognition
F. Gregory Ashby;Nancy A. Perrin.
Psychological Review (1988)
Multidimensional models of perception and cognition.
F. Gregory Ashby.
Deconvolving BOLD activation in event-related designs for multivoxel pattern classification analyses.
Jeanette A. Mumford;Benjamin O. Turner;F. Gregory Ashby;Russell A. Poldrack.
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