Journal article

A simple two-stage model predicts response time distributions

RHS Carpenter, BAJ Reddi, AJ Anderson

JOURNAL OF PHYSIOLOGY-LONDON | WILEY | Published : 2009

Abstract

The neural mechanisms underlying reaction times have previously been modelled in two distinct ways. When stimuli are hard to detect, response time tends to follow a random-walk model that integrates noisy sensory signals. But studies investigating the influence of higher-level factors such as prior probability and response urgency typically use highly detectable targets, and response times then usually correspond to a linear rise-to-threshold mechanism. Here we show that a model incorporating both types of element in series - a detector integrating noisy afferent signals, followed by a linear rise-to-threshold performing decision - successfully predicts not only mean response times but, much..

View full abstract