AI Article Synopsis
- Previous research indicates that explicit and implicit knowledge of artificial grammars decay at different rates, with this study extending those findings to SRT tasks.
- After a 7-day retention period without rehearsal, explicit knowledge showed significant decay while implicit knowledge was largely retained.
- The results suggest modifications to existing single-system models of memory, highlighting the need to account for differences in forgetting patterns of implicit and explicit knowledge.
Article Abstract
Previous research has shown that explicit and implicit knowledge of artificial grammars may decay at different rates (e.g., Tamayo & Frensch, 2007; Tunney, 2003). We extend these findings to sequential regularities embedded in serial reaction time (SRT) tasks. We compared the forgetting patterns of implicit and explicit knowledge after a retention interval of 7 days without rehearsal. Explicit knowledge decayed after 7 days, whereas implicit knowledge was retained. These data were modeled according to the assumptions involved in the single-system model suggested by Shanks, Wilkinson, and Channon (2003). The best fit for the model was obtained by modifying the parameters related to (a) the common knowledge-strength variable for implicit and explicit knowledge, and (b) reliability of the explicit test. We interpret these dissociations as a boundary condition for single-system models that assume constant random noise to explain dissociations in the forgetting patterns of implicit and explicit sequential knowledge.
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| http://dx.doi.org/10.1027/1618-3169/a000293 | DOI Listing |
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