Simulating Event-Related Potential Reading Data in a Neurally Plausible Parallel Distributed Processing Model
نویسندگان
چکیده
Parallel Distributed Processing (PDP) models have always been considered a particularly likely framework for achieving neural-like simulations of cognitive function. To date, however, minimal contact has been made between PDP models and physiological data from the brain performing cognitive tasks. We present an implemented PDP model of Event-Related Potential (ERP) data on visual word recognition. Simulations demonstrate that a novel architecture with improved neural plausibility is critical for successfully reproducing key findings in the ERP data.
منابع مشابه
A neurally plausible parallel distributed processing model of event-related potential word reading data.
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 c...
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