Abstract
Physiological studies have revealed that the prefrontal cortex (PF) plays an important role in working memory, which retains relevant information on line. Rao et al. (1997) found neurons contributing to both object and spatial working memory. However, their mechanisms are still unknown. In this study, we propose a neural networkmodel of working memory in order to shed light on its mechanism. Our model has two input streams and can cope with a taskin which two kinds of information have to be retained at the same time. We simulated some physiological results with this model. As a result, we simulated temporal activity patterns of neurons responding to both object and location information, as shown by Rao et al. (1997). We also considered domain-specificity by constructing three neural networkarchitectures and the physiological results were simulated best by a no-domain specificity model. This result suggests that there is no domain-specificity in PF working memory.
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Minami, T., Inui, T. (2001). A Neural Network Model of Working Memory (Processing of “What” and “Where” Information). In: Mira, J., Prieto, A. (eds) Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence. IWANN 2001. Lecture Notes in Computer Science, vol 2084. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45720-8_15
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DOI: https://doi.org/10.1007/3-540-45720-8_15
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