Abstract
The human rhythmic gait movement can be generated by a central pattern generator (CPG) by self-oscillation, wherein the frequency and the mode of gait movement are controlled by CPG output. As an important property of the human visual perception, attention selection makes great significance in precise control of movements. The CPG model under the condition of attention selection presented in this study is a result of amendments to CPG model based on Matsuoka neural oscillators, which can fully reflect the role that attention selection plays in the control of gait movement. Simulation results show that under the action of attention selection, the amended CPG model evolves with different frequencies and different modes for a certain time, thus reflecting not only the influence of attention selection signal on the mode of CPG model’s output, but also the continued control of attention selection on the CPG model’s gait output.
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Acknowledgments
This work was supported by the National Natural Science Foundation of China (Grant No. 11232005, 11472104) and the Ministry of Education Doctoral Foundation (Grant No. 20120074110020).
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Wang, W., Wang, R. (2016). The Control of CPG Gait Movement Under the Condition of Attention Selection. In: Wang, R., Pan, X. (eds) Advances in Cognitive Neurodynamics (V). Advances in Cognitive Neurodynamics. Springer, Singapore. https://doi.org/10.1007/978-981-10-0207-6_88
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DOI: https://doi.org/10.1007/978-981-10-0207-6_88
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