17th International Symposium on
Mathematical Theory of Networks and Systems
Kyoto International Conference Hall, Kyoto, Japan, July 24-28, 2006

MTNS 2006 Paper Abstract

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Paper MoP10.3

Shirane, Kazuto (Tokyo Inst. of Tech.), Imura, Jun-ichi (Tokyo Inst. of Tech.)

Duality of Minimum-Variance End-Point Error Model of Voluntary Movement

Scheduled for presentation during the Regular Session "Biological Systems" (MoP10), Monday, July 24, 2006, 16:10−16:35, Room 103

17th International Symposium on Mathematical Theory of Networks and Systems, July 24-28, 2006, Kyoto, Japan

This information is tentative and subject to change. Compiled on April 19, 2024

Keywords Biological systems analysis, Optimal control, Filtering and estimation

Abstract

In this paper, a dual problem of the motor control model based on the signal-dependent noise hypothesis is addressed. First, the motor control model including signal-dependent noise is reduced to an optimal control problem whose cost function contains a time-varying weight. Then an estimation problem under the time-varying output noise model is introduced as the dual problem of the motor control model mentioned above, and it is shown that this time-varying noise can be interpreted as a signal-dependent output noise. Finally an experiment is made and it is shown that this signal-dependent output noise does not contradict to the result of this experiment.