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Updated: Dec 31, 2025

Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine
Published on: October 27, 2016
Takuji Hayashi1,2,3, Yutaro Kato4, Daichi Nozaki5
1Graduate School of Engineering, Tokyo University of Agriculture and Technology, Tokyo 184-8588, Japan, thayashi423@gmail.com nozaki@p.u-tokyo.ac.jp.
This study reveals that motor adaptation integrates visual and proprioceptive signals using divisive normalization. This suggests separate motor memories for each sense are combined during movement execution, not initial processing.
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