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This project will be focused on implementation of an algorithmic model to help us better understand the underlying processes of recognition memory. Specifically, our computational model is comprised of two memory modules – one representing the hippocampus and the other representing the perirhinal cortex of the brain. According to the dual-process model of recognition memory, recollection is supported by the hippocampus, while familiarity mainly relies on the perirhinal cortex (Yonelinas 1997, Eichenbaum 2007). By contrast, single-process models suggest that the representations in the hippocampus and perirhinal cortex differ in memory strength instead of underlying processing (Squire et al. 2007). Our model will allow us to asses the properties of input and processing through these two regions of the brain, allowing us to analyze their affects on recognition performance.
The internship comprises a significant hands-on experience in computational modelling. TO BE CONT’D
Steve Perry
Ruhr-Universität Bochum
Computer science
Education
University of Ottawa
Globalink Research Award
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