Title

A neurally plausible parallel distributed processing model of event-related potential word reading data.

Date of Original Version

3-1-2012

Type

Article

PubMed ID

21945392

Abstract or Description

The Parallel Distributed Processing (PDP) framework has significant potential for producing models of cognitive tasks that approximate how the brain performs the same tasks. To date, however, there has been relatively little contact between PDP modeling and data from cognitive neuroscience. In an attempt to advance the relationship between explicit, computational models and physiological data collected during the performance of cognitive tasks, we developed a PDP model of visual word recognition which simulates key results from the ERP reading literature, while simultaneously being able to successfully perform lexical decision-a benchmark task for reading models. Simulations reveal that the model's success depends on the implementation of several neurally plausible features in its architecture which are sufficiently domain-general to be relevant to cognitive modeling more generally.

DOI

10.1016/j.bandl.2011.09.001

 

Published In

Brain and language, 120, 3, 271-281.