Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Automatic Training of Rat Cyborgs for Navigation.

Yipeng Yu1, Zhaohui Wu1, Kedi Xu2

  • 1College of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China.

Computational Intelligence and Neuroscience
|July 21, 2016
PubMed
Summary

This study introduces an automated system for training rat cyborgs, reducing manual effort. The vision-based approach uses a hierarchical framework for efficient co-learning between rats and machines.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

The Distinct Electrophysiological Mechanisms in the Cortico-Striatal Circuit of LID Rats.

Biology·2026
Same author

Growth strategy of <i>Juniperus tibetica</i> ancient clusters under high-altitude and cold conditions in western Xizang, China.

Ying yong sheng tai xue bao = The journal of applied ecology·2026
Same author

FP3O: Enabling Proximal Policy Optimization in Multiagent Cooperation With Parameter-Sharing Versatility.

IEEE transactions on neural networks and learning systems·2026
Same author

Dendritic nonlinearities mitigate communication costs.

Patterns (New York, N.Y.)·2026
Same author

Recent Advances in Neoadjuvant Treatment of Anaplastic Thyroid Carcinoma: A Narrative Review.

Current treatment options in oncology·2026
Same author

Extruded biodegradable Zn-5Cu alloys with integrated osteoimmunomodulatory, antibacterial, and anti-osteolytic properties for patellar fracture suture repair.

Acta biomaterialia·2026

Area of Science:

  • Biomedical Engineering
  • Neuroscience
  • Robotics

Background:

  • Rat cyborgs, rats with brain-integrated microelectrodes, offer potential for applications like disaster search and rescue.
  • Manual training of rat cyborgs to respond to electrical stimuli is labor-intensive and time-consuming.

Purpose of the Study:

  • To develop a vision-based automatic training system for rat cyborgs.
  • To replace traditional manual training procedures with an efficient, automated method.
  • To facilitate co-learning between rats and machines in cyborg systems.

Main Methods:

  • A hierarchical framework integrating visual sensing, a parameterized state machine, and an adaptive adjustment policy.
  • Behavioral states of rat cyborgs are monitored via camera.

Related Experiment Videos

  • The system adaptively adjusts electrical stimulation intensity based on rat behavior.

    • Main Results:

    • Experimental validation with three rat cyborgs demonstrated the system's effectiveness.
    • The automated system successfully trained rat cyborgs, reducing the need for manual intervention.
    • This represents the first study to address automatic training for animal cyborgs.

    Conclusions:

    • The developed vision-based system offers an effective solution for automatic rat cyborg training.
    • The hierarchical co-learning framework enhances the efficiency of training animal cyborgs.
    • This pioneering work paves the way for future advancements in animal cyborg technology and applications.