Poster C104, Sunday, March 26, 5:00 – 7:00 pm, Pacific Concourse
Statistical learning: Manipulation of timing in the reconsolidation phase
Csenge Török1,2, Karolina Janacsek1,2, Dezso Nemeth1,2; 1Hungarian Academy of Sciences, Institute of Cognitive Neuroscience and Psychology, 2Eotvos Lorand University, Institute of Psychology
Statistical learning has been defined as sensitivity to regularities, patterns and statistical dependencies in the environment. However, the processes of consolidation and reconsolidation of this learning mechanism are still unclear. The aim of the present study was to investigate how statistical learning and its consolidation is affected by modifications of temporal parameters in the reconsolidation phase. Fifty-three healthy young adults participated in the experiment. Statistical learning was measured by the Alternating Serial Reaction Time Task (ASRT). The response-to-stimulus-interval (RSI) was fix in the learning phase. After a six-hour delay, in the reconsolidation phase, participants were assigned to one of two groups: one group performed the ASRT task with random RSI, while the other group performed the task with the same fix RSI as in the learning phase. Performance was then tested after a 16-hour delay with fix RSI in both groups. Both the manipulated and the control groups showed significant statistical learning in the learning phase, with no group differences. Furthermore, we found no performance decrease neither in the reconsolidation phase nor in the testing phase, both groups’ statistical learning was retained to a similar extent, despite the manipulation of temporal parameters. These findings demonstrate the robustness of both statistical learning and its consolidation.
Topic Area: LONG-TERM MEMORY: Skill learning