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In biological regulatory systems, all computations result from spatial and temporal combination of simple and homogeneous computational media. This computational scheme realize the adaptability to unpredictable environmental changes, which is one of the most salient features of biological regulations. To investigate the learning process behind this computational scheme, we propose a learning method...
Tacit learning is a new machine learning paradigm that attempts to implement the superb adaptation capability of living organisms to unexpected environmental changes. It emphasizes body/environment interactions and is equipped with some elementary sets of action rules and appropriate initial conditions of the neural states that correspond to elementary survival reflexes. Along this line, we propose...
The aim of this study is to establish a PID model of balance keeping control during static upright standing to elucidate the possible mechanism of body sway, and to apply this to balance stability assessment especially concerning the roles of pelvis and its muscles. The dynamic model includes five joints, i.e. two ankles, two hips and one lumbosacral joint makes up a multi-link system, and is driven...
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