Applying the dynamics of post-synaptic potentials to individual units in simulation of temporally extended ERP reading data

Abstract

In prior work, we have demonstrated that attention to the neural implementation of cognitive function is critical in creating models capable of simulating the physiological traces of those functions (e.g., Event-Related Potentials; ERPs). Here, we extend our Parallel Distributed Processing (PDP) model of ERP data elicited during the reading of single word forms to the simplest more temporally extended phenomenon: the ERP repetition effect. Simulations demonstrate that reproducing the dynamics of the ERP repetition effect can be accomplished by imposing the temporal envelope of post-synaptic potentials on individual units in the model.


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