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Poster F in Poster Session F: Thursday, August 6, 1:45 – 3:30 pm, Kimmel Center, Shorin & Rosenthal Rooms
Understanding explicit sensorimotor learning as a process of hypothesis testing
Anjuli Niyogi1, Elizabeth Cisneros2, Wei Ding3, Richard Ivry2, Jonathan Tsay1; 1Carnegie Mellon University, 2University of California, Berkeley, 3Tsinghua University
Presenter: Anjuli Niyogi
Multiple learning processes contribute to successful goal-directed actions under changing physiological states and environmental demands. Amongst these, explicit strategies are essential, rapidly recalibrating our movements to achieve precise, accurate performance. Yet how explicit strategies are discovered during sensorimotor adaptation remain unknown. To answer this question, we developed a behavioral paradigm that isolates strategy discovery in response to a visuomotor rotation. Rather than exhibiting a smooth, gradual learning curve, behavior was characterized by extensive, multimodal exploration that culminated in an “aha” moment, as participants converged on the solution. To account for these findings, we propose a mechanism in which strategy discovery emerges through the generation and testing of discrete action–outcome hypotheses. This “Hypothesis Testing” model captures a broad range of unexplained phenomena in the literature and outperforms alternative computational accounts. Together, these results define a new computational mechanism by which humans discover effective strategies during sensorimotor learning.
Topic Area: Memory, Learning & Knowledge Structures