A Graded Speed Control Method for Cyborg Rats Based on Electrical Stimulation of the Cuneiform Nucleus  

作　　者：Hanyi Ling Le Han Nenggan Zheng 

机构地区：[1]Qiushi Academy for Advanced Studies(QAAS),Zhejiang University,Hangzhou,310007,China [2]The State Key Lab of Brain-Machine Intelligence,Zhejiang University,Hangzhou,310007,China [3]College of Biomedical Engineering&Instrument Science,Zhejiang University,Hangzhou,310007,China [4]College of Computer Science and Technology,Zhejiang University,Hangzhou,310007,China [5]CCAI by MOE and Zhejiang Provincial Government(ZJU),Hangzhou,310007,China

出　　处：《Journal of Bionic Engineering》2024年第3期1334-1346,共13页仿生工程学报（英文版）

基　　金：the National Key R&D Program of China(2020YFB1313501);Zhejiang Provincial Natural Science Foundation(LZ24F020003);National Natural Science Foundation of China(T2293723);the Key R&D program of Zhejiang Province(2021C03003);the Fundamental Research Funds for the Central Universities(No.226-2022-00051).

摘　　要：The precise movement speed regulation is a key factor to improve the control effect and efficiency of the cyborg rats.However,the current stimulation techniques cannot realize the graded control of the speed.In this study,we achieved the multi-level speed regulation of cyborg rats in the large open field and treadmill by specifically targeting the Cuneiform Nucleus(CnF)of the Mesencephalic Locomotor Region(MLR).Detailed,we measured the influence of each stimulation parameter on the speed control process which included the real-time speed,accelerated speed,response time,and acceleration period.We concluded that the pulse period and the pulse width were the main determinants influencing the accelerated speed of cyborg rats.Whereas the amplitude of stimulation was found to affect the response time exhibited by the cyborg rats.Our study provides valuable insights into the regulation of rat locomotion speed and highlights the potential for utilizing this approach in various experimental settings.

关 键 词：Cyborg rats Cuneiform nucleus Graded control Speed regulation 

分 类 号：TP242[自动化与计算机技术—检测技术与自动化装置] Q811[自动化与计算机技术—控制科学与工程]