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Botvinick, Matthew M.; Cohen, Jonathan D. – Cognitive Science, 2014
Cognitive control has long been one of the most active areas of computational modeling work in cognitive science. The focus on computational models as a medium for specifying and developing theory predates the PDP books, and cognitive control was not one of the areas on which they focused. However, the framework they provided has injected work on…
Descriptors: Cognitive Ability, Guidelines, Models, Cognitive Processes
Yu, Angela J.; Dayan, Peter; Cohen, Jonathan D. – Journal of Experimental Psychology: Human Perception and Performance, 2009
The brain exhibits remarkable facility in exerting attentional control in most circumstances, but it also suffers apparent limitations in others. The authors' goal is to construct a rational account for why attentional control appears suboptimal under conditions of conflict and what this implies about the underlying computational principles. The…
Descriptors: Conflict, Attention Control, Exhibits, Probability
Peer reviewedCohen, Jonathan D.; And Others – Psychological Review, 1990
It is proposed that attributes of automatization depend on the strength of a processing pathway, and that strength increases with training. With the Stroop effect as an example, automatic processes are shown through simulation to be continuous and to emerge gradually with practice. (SLD)
Descriptors: Algorithms, Attention, Cognitive Processes, Learning
Holroyd, Clay B.; Yeung, Nick; Coles, Michael G. H.; Cohen, Jonathan D. – Journal of Experimental Psychology: General, 2005
The concept of error detection plays a central role in theories of executive control. In this article, the authors present a mechanism that can rapidly detect errors in speeded response time tasks. This error monitor assigns values to the output of cognitive processes involved in stimulus categorization and response generation and detects errors…
Descriptors: Reaction Time, Cognitive Processes, Error of Measurement, Conceptual Tempo
Peer reviewedCohen, Jonathan D.; Servan-Schreiber, David – Psychological Review, 1992
Using a connectionist framework, it is possible to develop models exploring effects of biologically relevant variables on behavior. The ability of such models to explain schizophrenic behavior in terms of biological disturbances is considered, and computer models are presented that simulate normal and schizophrenic behavior in an attentional task.…
Descriptors: Attention, Behavior Patterns, Biological Influences, Cognitive Processes

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