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Poster Session C: Friday, August 15, 2:00 – 5:00 pm, de Brug & E‑Hall

Statistical Knowledge Transfer Across Stimulus-Response Associations

Cintia Anna Nagy¹, Orsolya Pesthy², Teodóra Vékony, Flóra Hann, Eszter Tóth-Fáber, Bianka Brezóczki, Dezső Németh; ¹Eötvös Lorand University, ²Center for Research in Neuroscience in Lyon

Presenter: Cintia Anna Nagy

Probabilistic information appears in various forms in our environment. Research on transfer in changing conditions generally shows success, but it is unclear whether people acquire the rule itself or the underlying structure. Our study explored this by testing participants in a two-session statistical learning task with different stimulus-response associations. The rule transfer group learned the same sequence in both sessions, while the structure transfer group learned different sequences with the same structure. The control group learned only in the second session. Neither rule nor structure knowledge improved learning in the second session, but both experimental groups showed greater acceleration than the control group, indicating a dissociation between statistical learning and visuomotor performance. Thus, relearning occurs rather than transfer, but visuomotor performance generalizes. Our findings suggest that transfer is evident in visuomotor learning but remains limited in statistical learning.

Topic Area: Memory, Spatial Cognition & Skill Learning

Extended Abstract: Full Text PDF