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• W2065571674 abstract "It is a fundamental question how our brain performs a given motor task in a real-time fashion with the slow sensorimotor system. Computational theory proposed an influential idea of feed-forward control, but it has mainly treated the case that the movement is ballistic (such as reaching) because the motor commands should be calculated in advance of movement execution. As a possible mechanism for operating feed-forward control in continuous motor tasks (such as target tracking), we propose a control model called “adaptive intermittent control” or “segmented control,” that brain adaptively divides the continuous time axis into discrete segments and executes feed-forward control in each segment. The idea of intermittent control has been proposed in the fields of control theory, biological modeling and nonlinear dynamical system. Compared with these previous models, the key of the proposed model is that the system speculatively determines the segmentation based on the future prediction and its uncertainty. The result of computer simulation showed that the proposed model realized faithful visuo-manual tracking with realistic sensorimotor delays and with less computational costs (i.e., with fewer number of segments). Furthermore, it replicated “motor intermittency”, that is, intermittent discontinuities commonly observed in human movement trajectories. We discuss that the temporally segmented control is an inevitable strategy for brain which has to achieve a given task with small computational (or cognitive) cost, using a slow control system in an uncertain variable environment, and the motor intermittency is the side-effect of this strategy." @default.
• W2065571674 created "2016-06-24" @default.
• W2065571674 creator A5002307980 @default.
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• W2065571674 date "2015-07-01" @default.
• W2065571674 modified "2023-09-23" @default.
• W2065571674 title "Adaptive intermittent control: A computational model explaining motor intermittency observed in human behavior" @default.
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• W2065571674 doi "https://doi.org/10.1016/j.neunet.2015.03.012" @default.
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• W2065571674 hasPublicationYear "2015" @default.
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