Journal of Bionic Engineering

, Volume 16, Issue 5, pp 931–942 | Cite as

Rat Navigation by Stimulating Somatosensory Cortex

  • Amirmasoud Ahmadi
  • Mahsa Behroozi
  • Vahid Shalchyan
  • Mohammad Reza DaliriEmail author


One of the most important topics in neuroscience is the issue of brain electrical stimulation and its widespread use. Based on this issue, rat robot, a rat navigation system was introduced in 2002, which has utilized brain electric stimulations as a guide and a reward for driving rats. Recently systems have been designed which are automatically navigated by a computer. One of the obstacles in the way of these systems is to select the stimulation frequency of the somatosensory cortex for the rotation action. In this paper, the stimulation parameters of the somatosensory cortex for rotation in the T-shaped maze were examined for the first time with applying only one pulse train. Then, the optimized parameters have been utilized in a complex maze. The results show that the performance is directly related to the pulse width and it has an inverse relationship with the pulse intervals. With optimal parameters, correctly controlling the animal in 90% of the trials in the T-maze, were managed, and in the complex maze, about 70% of the stimuli with optimized parameters were with only applying one pulse train. The results show that the stimulation parameters for navigation with only one pulse train are well optimized, and the results of this paper can be a trigger for an automatic navigation and reduce the computational costs and automatic system errors.


rat robot bionic robot brain computer interface electrical stimulation somatosensory cortex 


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This work has been supported by a grant from the Cognitive Sciences and Technologies Council of Iran (CSTC) (Grant number: 3639).


  1. [1]
    Holzer R, Shimoyama I. Locomotion control of a bio-robotic system via electric stimulation. Proceedings of the IEEE/RSJ International Conference on Intelligent Robot and Systems, Innovative Robotics for Real-World Applications, Grenoble, France, 1997, 1514–1519.Google Scholar
  2. [2]
    Bao Li, Zheng N G, Zhao H X, Hao Y Y, Zheng H Q, Hu F L, Zheng X X. Flight control of tethered honeybees using neural electrical stimulation. 5th International IEEE/EMBS Conference on Neural Engineering, Cancun, Mexico, 2011, 558–561.Google Scholar
  3. [3]
    Gao Z H, Shi Q, Fukuda T, Li C, Huang Q. An overview of biomimetic robots with animal behaviors. Neurocomputing, 2019, 332, 339–350.CrossRefGoogle Scholar
  4. [4]
    Cai L, Dai Z D, Wang W B, Wang H, Tang Y Z. Modulating motor behaviors by electrical stimulation of specific nuclei in pigeons. Journal of Bionic Engineering, 2015, 12, 555–564.CrossRefGoogle Scholar
  5. [5]
    Huai R T, Yang J Q, Wang H. The robo-pigeon based on the multiple brain regions synchronization implanted microelectrodes. Bioengineered, 2016, 7, 213–218.CrossRefGoogle Scholar
  6. [6]
    Dai Z D, Sun J R. A biomimetic study of discontinuous-constraint metamorphic mechanism for gecko-like robot. Journal of Bionic Engineering, 2007, 4, 91–95.CrossRefGoogle Scholar
  7. [7]
    Ryuh Y S, Yang G H, Liu J D, Hu H S. A school of robotic fish for mariculture monitoring in the sea coast. Journal of Bionic Engineering, 2015, 12, 37–46.CrossRefGoogle Scholar
  8. [8]
    Yu J Z, Wang M, Dong H F, Zhang Y L, Wu Z X. Motion control and motion coordination of bionic robotic fish: A review. Journal of Bionic Engineering, 2018, 15, 579–598.CrossRefGoogle Scholar
  9. [9]
    Kim D G, Lee S, Kim C H, Jo S, Lee P S. Parasitic robot system for waypoint navigation of turtle. Journal of Bionic Engineering, 2017, 14, 327–335.CrossRefGoogle Scholar
  10. [10]
    Kim C H, Choi B, Kim D G, Lee S, Jo S, Lee P S. Remote navigation of turtle by controlling instinct behavior via human brain-computer interface. Journal of Bionic Engineering, 2016, 13, 491–503.CrossRefGoogle Scholar
  11. [11]
    Sun C, Zhang X L, Zheng N G, Chen W D, Zheng X X. Bio-robots automatic navigation with electrical reward stimulation. Annual International Conference of the IEEE Engineering in Medicine and Biology Society, San Diego, CA, USA, 2012, 348–351.Google Scholar
  12. [12]
    Sun C, Zheng N G, Zhang X L, Chen W D, Zheng X X. Automatic navigation for rat-robots with modeling of the human guidance. Journal of Bionic Engineering, 2013, 10, 46–56.CrossRefGoogle Scholar
  13. [13]
    Talwar S K, Xu S, Hawley E S, Weiss S A, Moxon K A, Chapin J K. Behavioural neuroscience: Rat navigation guided by remote control. Nature, 2002, 417, 37–38.CrossRefGoogle Scholar
  14. [14]
    Yu Y P, Wu Z H, Xu K D, Gong Y Y, Zheng N G, Zheng X X, Pan G. Automatic training of rat cyborgs for navigation. Computational Intelligence and Neuroscience, 2016, 2016, 6459251.CrossRefGoogle Scholar
  15. [15]
    Ahmadi A M, Seghinsara S F, Daliri M R, Shalchian V. Brain electrical stimulation for animal navigation, Iranian Journal of Biomedical Engineering, 2017, 11, 83–100.Google Scholar
  16. [16]
    Yu Y P, Pan G, Gong Y Y, Xu K D, Zheng N G, Hua W D, Zheng X X, Wu Z H. Intelligence-augmented rat cyborgs in maze solving. PLOS ONE, 2016, 11, e0147754.CrossRefGoogle Scholar
  17. [17]
    Wu Z H, Zhou Y D, Shi Z Z, Zhang C H, Li G L, Zheng X X, Zheng N G, Pan G. Cyborg intelligence: Recent progress and future directions. IEEE Intelligent Systems, 2016, 31, 44–50.CrossRefGoogle Scholar
  18. [18]
    Khajei S, Shalchyan V, Daliri M R. Ratbot navigation using deep brain stimulation in ventral posteromedial nucleus. Bioengineered, 2019, 10, 250–260.CrossRefGoogle Scholar
  19. [19]
    Shi Q, Li C, Li K, Huang Q, Ishii H, Takanishi A, Fukuda T. A modified robotic rat to study rat-like pitch and yaw movements. IEEE/ASME Transactions on Mechatronics, 2018, 23, 2448–2458.CrossRefGoogle Scholar
  20. [20]
    Cho Y K, Kim S, Jung H H, Chang J W, Kim Y J, Shin H C, Jun S B. Neuromodulation methods for animal locomotion control. Biomedical Engineering Letters, 2016, 6, 134–147.CrossRefGoogle Scholar
  21. [21]
    Farakhor S, Shalchyan V, Daliri M R. Adaptation effects of medial forebrain bundle micro-electrical stimulation. Bioengineered, 2019, 10, 78–86.CrossRefGoogle Scholar
  22. [22]
    Lee M G, Jun G, Choi H S, Jang H S, Bae Y C, Suk K, Jang I S, Choi B J. Operant conditioning of rat navigation using electrical stimulation for directional cues and rewards. Behavioural Processes, 2010, 84, 715–20.CrossRefGoogle Scholar
  23. [23]
    Welker C. Microelectrode delineation of fine grain somatotopic organization of SmI cerebral neocortex in albino rat. Brain Research, 1971, 26, 259–275.Google Scholar
  24. [24]
    Houweling A R, Brecht M. Behavioural report of single neuron stimulation in somatosensory cortex. Nature, 2008, 451, 65–68.CrossRefGoogle Scholar
  25. [25]
    Yu Y, Zheng N, Wu Z, Zheng X, Hua W, Zhang C, Pan G. Automatic training of ratbot for navigation. International Workshop on Intelligence Science, in Conjunction with IJCAI-2013, Beijing, China, 2013.Google Scholar
  26. [26]
    Koo B, Koh C S, Park H Y, Lee H G, Chang J W, Choi S J, Shin H C. Manipulation of rat movement via nigrostriatal stimulation controlled by human visually evoked potentials. Scientific Reports, 2017, 7, 2340.CrossRefGoogle Scholar
  27. [27]
    Diamond M E, Arabzadeh E. Whisker sensory system — From receptor to decision. Progress in Neurobiology, 2013, 103, 28–40.CrossRefGoogle Scholar
  28. [28]
    Sofroniew N J, Vlasov Y A, Hires S A, Freeman J, Svoboda K. Neural coding in barrel cortex during whisker-guided locomotion. Elife, 2015, 4, e12559.CrossRefGoogle Scholar
  29. [29]
    Gradinaru V, Thompson K R, Zhang F, Mogri M, Kay K, Schneider M B, Deisseroth K. Targeting and readout strategies for fast optical neural control in vitro and in vivo. Journal of Neuroscience, 2007, 27, 14231–14238.CrossRefGoogle Scholar
  30. [30]
    Han B L, Wang Q L, Luo Q S. Mechanical optimization and analyses of hexapod walking bio-robot. Machine Design and Research, 2006, 22, 10–12. (in Chinese)Google Scholar
  31. [31]
    Li G F, Qiu W B, Zhang Z Q, Jiang Q J, Su M, Cai R L, Li Y C, Cai F Y, Deng Z T, Xu D, Zhang H L, Zheng H R. Noninvasive ultrasonic neuromodulation in freely moving mice. IEEE Transactions on Biomedical Engineering, 2019, 66, 217–224.CrossRefGoogle Scholar
  32. [32]
    Chen S C, Zhou H, Guo S C, Zhang J C, Qu Y, Feng Z Y, Xu K D, Zheng X X. Optogenetics based rat-robot control: Optical stimulation encodes “stop” and “escape” commands. Annals of Biomedical Engineering, 2015, 43, 1851–1864.CrossRefGoogle Scholar
  33. [33]
    Grill W M, Mortimer J T. The effect of stimulus pulse duration on selectivity of neural stimulation. IEEE Transactions on Biomedical Engineering, 1996, 43, 161–166.CrossRefGoogle Scholar
  34. [34]
    Van Camp N, Verhoye M, Van der Linden A. Stimulation of the rat somatosensory cortex at different frequencies and pulse widths. NMR in Biomedicine, 2006, 19, 10–17.CrossRefGoogle Scholar

Copyright information

© Jilin University 2019

Authors and Affiliations

  • Amirmasoud Ahmadi
    • 1
  • Mahsa Behroozi
    • 1
  • Vahid Shalchyan
    • 1
  • Mohammad Reza Daliri
    • 1
    Email author
  1. 1.Neuroscience & Neuroengineering Research Lab., Biomedical Engineering Department, School of Electrical EngineeringIran University of Science and Technology (IUST)Narmak, TehranIran

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