How the brain can be trained to achieve an intermittent control strategy for stabilizing quiet stance by means of reinforcement learning
DOI10.1007/S00422-024-00993-0zbMATH Open1542.92017MaRDI QIDQ6611536
Yasuyuki Suzuki, Pietro Morasso, Taishin Nomura, Akihiro Nakamura, Risa Matsuo, Tomoki Takazawa
Publication date: 26 September 2024
Published in: Biological Cybernetics (Search for Journal in Brave)
Feedback control (93B52) Neural networks for/in biological studies, artificial life and related topics (92B20) Biomechanics (92C10) Qualitative investigation and simulation of ordinary differential equation models (34C60) Qualitative investigation and simulation of models involving functional-differential equations (34K60)
Cites Work
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- Numerical solution of two-dimensional Fokker-Planck equations
- Human arm stiffness and equilibrium-point trajectory during multi-joint movement
- Balancing with reflex delay.
- Long term correlation and inhomogeneity of the inverted pendulum sway time-series under the intermittent control paradigm
- A Markov chain approximation of switched Fokker-Planck equations for a model of on-off intermittency in the postural control during quiet standing
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