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Gail McKoon

Researcher at Ohio State University

Publications -  126
Citations -  16143

Gail McKoon is an academic researcher from Ohio State University. The author has contributed to research in topics: Priming (psychology) & Lexical decision task. The author has an hindex of 62, co-authored 125 publications receiving 14952 citations. Previous affiliations of Gail McKoon include DePaul University & Dartmouth College.

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The Diffusion Decision Model: Theory and Data for Two-Choice Decision Tasks

TL;DR: The diffusion decision model is reviewed to show how it translates behavioral data accuracy, mean response times, and response time distributions into components of cognitive processing, including research in the domains of aging and neurophysiology.
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Diffusion Decision Model: Current Issues and History

TL;DR: This review relates the diffusion models to both earlier and more recent research in psychology to examine individual differences in cognitive and neural processes of speeded decision making.
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Inference during reading.

TL;DR: The minimalist hypothesis is that readers do not automatically construct inferences to fully represent the situation described by a text, and it is argued that automatically encoded minimalist inferences provide the basic representation of textual information from which more goal-directed, purposeful inferences are constructed.
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A retrieval theory of priming in memory.

TL;DR: The retrieval theory is applied to priming phenomena and is shown to be capable of explaining the same empirical findings as spreading activation theories.
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Connectionist and diffusion models of reaction time.

TL;DR: Two connectionist frameworks, GRAIN and brain-state-in-a-box, and R. Ratcliff's diffusion model were evaluated using data from a signal detection task, showing that the long tradition of reaction-time research and theory is a fertile domain for development and testing of connectionist assumptions about how decisions are generated over time.