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The Neuropsychology of Attention pp 891–930Cite as

Computational Approaches to Attention

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Abstract

As the cognitive sciences have evolved, so has the proliferation of theoretical models to account for attention and other cognitive functions. Models are developed to operationalize the processes and mechanisms underlying particular functions and to formalize their properties so as to enable experimental validation. Models developed during the middle of the twentieth century often posited complex relationships among multiple modular processes in an effort to account for cognitive functions like attention but tended to be largely descriptive in nature. They lacked specificity with respect to how elements of the model work under different experimental conditions and tended not to be formalized mathematically. They provided starting points for conceptualizing and study cognitive functions, but generally were underspecified, making it difficult to test the validity of one model versus another. In an effort to overcome this problem, cognitive and behavioral scientists increasingly employed computational approaches. Although initially many of these models provided little more than a mathematical description of processes that could be characterized less formally at a purely conceptual level, they did provide a valuable way of identifying specific parameters and constraints that affect the and parameters underlying attentional operations.

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Authors and Affiliations

  1. Departments of Neurology, Psychiatry and Aging, Gainesville, FL, USA

    Ronald A. Cohen PhD, ABPP, ABCN (Professor, Director, Adjunct Professor)

  2. Center for Cognitive Aging and Memory, University of Florida College of Medicine, Gainesville, FL, USA

    Ronald A. Cohen PhD, ABPP, ABCN (Professor, Director, Adjunct Professor)

  3. Department of Psychiatry and Human Behavior Warren Alpert School of Medicine, Brown University, Providence, RI, USA

    Ronald A. Cohen PhD, ABPP, ABCN (Professor, Director, Adjunct Professor)

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Cohen, R.A. (2014). Computational Approaches to Attention. In: The Neuropsychology of Attention. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-72639-7_27

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