caa a22 4500 475788508 CHVBK 20180406123705.0 cr unu---uuuuu 170329e20000601xx s 000 0 eng 10.1007/PL00008177 doi (NATIONALLICENCE)springer-10.1007/PL00008177 Heath Richard A. Department of Psychology, University of Newcastle NSW 2308, Australia; e-mail: heath@psychology.newcastle.edu.au; Fax: +61-249216980; Tel.: +61-249215958, AU aut The Ornstein-Uhlenbeck model for decision time in cognitive tasks: An example of control of nonlinear network dynamics [Elektronische Daten] [Richard A. Heath] The Ornstein-Uhlenbeck (OU) model for human decision-making has been successfully applied to account for response accuracy and response time (RT) data in recent two-choice decision models. A variant of the OU model is shown to arise from the response dynamics of a nonlinear network consisting of randomly connected neural processing units. When feedback control of the network is effected by the stimulus onset, the average network response is an autocorrelated random signal satisfying the stochastic differential equation for the OU process. An alternative, more general, stimulus detection procedure is proposed which involves the use of an adaptive Kalman filter process to track any temporal change in autoregressive parameters. The predicted decision time distributions suggest that both the OU and the Kalman filter processes can serve as alternative models for RT data in experimental tasks. Springer-Verlag Berlin Heidelberg, 2000 https://doi.org/10.1007/PL00008177 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/PL00008177 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Heath Richard A. Department of Psychology, University of Newcastle NSW 2308, Australia; e-mail: heath@psychology.newcastle.edu.au; Fax: +61-249216980; Tel.: +61-249215958, AU aut Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer