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Brain-Machine Interface-Based Rat-Robot Behavior Control

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Neural Interface: Frontiers and Applications

Part of the book series: Advances in Experimental Medicine and Biology ((AEMB,volume 1101))

Abstract

Brain-machine interface (BMI) provides a bidirectional pathway between the brain and external facilities. The machine-to-brain pathway makes it possible to send artificial information back into the biological brain, interfering neural activities and generating sensations. The idea of the BMI-assisted bio-robotic animal system is accomplished by stimulations on specific sites of the nervous system. With the technology of BMI, animals’ locomotion behavior can be precisely controlled as robots, which made the animal turning into bio-robot. In this chapter, we reviewed our lab works focused on rat-robot navigation. The principles of rat-robot system have been briefly described first, including the target brain sites chosen for locomotion control and the design of remote control system. Some methodological advances made by optogenetic technologies for better modulation control have then been introduced. Besides, we also introduced our implementation of “mind-controlled” rat navigation system. Moreover, we have presented our efforts made on combining biological intelligence with artificial intelligence, with developments of automatic control and training system assisted with images or voices inputs. We concluded this chapter by discussing further developments to acquire environmental information as well as promising applications with write-in BMIs.

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Author information

Authors and Affiliations

  1. Qiushi Academy for Advanced Studies (QAAS), Zhejiang University, Hangzhou, People’s Republic of China

    Jiacheng Zhang, Kedi Xu, Shaomin Zhang, Yueming Wang, Nenggan Zheng, Weidong Chen & Xiaoxiang Zheng

  2. Department of Biomedical Engineering, Key Laboratory of Ministry of Education Ministry, Zhejiang University, Hangzhou, People’s Republic of China

    Jiacheng Zhang, Kedi Xu, Shaomin Zhang, Weidong Chen & Xiaoxiang Zheng

  3. Zhejiang Provincial Key Laboratory of Cardio-Cerebral Vascular Detection Technology and Medicinal Effectiveness Appraisal, Zhejiang University, Hangzhou, People’s Republic of China

    Jiacheng Zhang, Kedi Xu, Shaomin Zhang & Xiaoxiang Zheng

  4. College of Computer Science and Technology, Zhejiang University, Hangzhou, People’s Republic of China

    Yueming Wang, Nenggan Zheng, Gang Pan, Weidong Chen & Zhaohui Wu

Authors
  1. Jiacheng Zhang
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  2. Kedi Xu
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  3. Shaomin Zhang
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  4. Yueming Wang
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  6. Gang Pan
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  7. Weidong Chen
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  8. Zhaohui Wu
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  9. Xiaoxiang Zheng
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Corresponding author

Correspondence to Kedi Xu .

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Editors and Affiliations

  1. Qiushi Academy for Advanced Studies, Zhejiang University, Hangzhou, Zhejiang, China

    Xiaoxiang Zheng

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Zhang, J. et al. (2019). Brain-Machine Interface-Based Rat-Robot Behavior Control. In: Zheng, X. (eds) Neural Interface: Frontiers and Applications. Advances in Experimental Medicine and Biology, vol 1101. Springer, Singapore. https://doi.org/10.1007/978-981-13-2050-7_5

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