Workshop: Computational Models of Memory Workshop: Computational Models of MemoryTraditionally computational models of memory have focused on explicit measures of memory such as free recall and cued recall (e.g., Raaijmakers & Shiffrin, 1981) in normal subject populations. Recently, however, models have been developed that try to provided a more detailed account of implicit measures of memory such as repetition priming in perceptual identification, lexical decision and word fragment completion (Anderson, Bothell, Lebiere, & Matessa, 1998; Ratcliff & McKoon, 1997; Schooler, Shiffrin, & Raaijmakers, in press). In addition, modeling efforts have been extended to include memory performance in patient populations such a people with retrograde amnesia (Murre, 1996; O'Reilly & Munakata, 2000).
Our objective in organizing this workshop is to bring about international communication on many different aspects of computational memory modeling. We hope to provide the necessary conditions for an inspiring workshop by bringing together internationally renowned experts in the field of computational modeling. We would like to stress that this workshop will not be about one particular kind of model, nor about one particular kind of memory task. Instead we aim at bringing together experts from a variety of backgrounds that share a common interest in memory and computational modelling. It is our hope and conviction that an exchange of ideas from researchers with different perspectives will advance our understanding of human memory.
HvR, 010522