Cognitive Modeling of Event-Related Potentials

Abstract

Cognitive modeling typically predicts the externally observable results of tasks and psychological experiments such as participant reaction times and error rates. To understand better the neural processes associated with cognition and behavior, it is necessary to model the internal processes. In this paper, we present a method of building a cognitive model of a simple visual selective-attention task, so that the brain electrical activity observed during the task can be simulated. Processes in the model were assumed to generate electrical dipoles in the brain and were found to provide an accurate fit to experimental data.


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