Connectionist and diffusion models of reaction time.

Abstract

Two connectionist frameworks, GRAIN (J. L. McClelland, 1993) and brain-state-in-a-box (J. A. Anderson, 1991), and R. Ratcliff's (1978) diffusion model were evaluated using data from a signal detection task. Dependent variables included response probabilities, reaction times for correct and error responses, and shapes of reaction-time distributions. The diffusion model accounted for all aspects of the data, including error reaction times that had previously been a problem for all response-time models. The connectionist models accounted for many aspects of the data adequately, but each failed to a greater or lesser degree in important ways except for one model that was similar to the diffusion model. The findings advance the development of the diffusion model and show 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.

Cites (10)

1. A Simplex Method for Function Minimization
   Nelder, J. A., Mead, R. · 1965 · The Computer Journal
2. Why there are complementary learning systems in the hippocampus and neocortex: insights from the successes and failures of connectionist models of learning and memory
   McClelland, James L., McNaughton, Bruce L., O'Reilly, Randall C. · 1995 · Psychological Review
3. Catastrophic Interference in Connectionist Networks: The Sequential Learning Problem
   McCloskey, Michael, Cohen, Neal J. · 1989 · Psychology of Learning and Motivation
4. The Theory of Stochastic Processes
   Cox, D. R., Miller, H. D., Weiss, George, Shuler, Kurt · 1966 · Physics Today
5. The discovery of processing stages: Extensions of Donders' method
   Sternberg, Saul · 1969 · Acta Psychologica
6. Understanding normal and impaired word reading: Computational principles in quasi-regular domains.
   Plaut, David C., McClelland, James L., Seidenberg, Mark S., Patterson, Karalyn · 1996 · Psychological Review
7. Modeling Response Times for Two-Choice Decisions
   Ratcliff, Roger, Rouder, Jeffrey N. · 1998 · Psychological Science
8. On the time relations of mental processes: An examination of systems of processes in cascade.
   McClelland, James L. · 1979 · Psychological Review
9. Connectionist models of recognition memory: Constraints imposed by learning and forgetting functions.
   Ratcliff, Roger · 1990 · Psychological Review
10. A Sequential Theory of Psychological Discrimination
    Link, S. W., Heath, R. A. · 1975 · Psychometrika

Show all 10 references

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