ArticleComputational intelligence and neuroscience2016
Automatic Training of Rat Cyborgs for Navigation.
Article in Computational intelligence and neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 26 citations in OpenAlex.
- A Novel Method for the Locomotion Control of a Rat Robot via the Electrical Stimulation of the Ventral Tegmental Area and Nigrostriatal Pathway.Brain sciences · 2025Article
- Piezoelectric Energy Harvesting from the Thorax Vibration of Freely Flying Bees.Cyborg and bionic systems (Washington, D.C.) · 2025Article
- Amygdala electrical stimulation for operant conditioning in rat navigation.Biomedical engineering letters · 2024Article
- Locomotion Control of Cyborg Insects by Charge-Balanced Biphasic Electrical Stimulation.Cyborg and bionic systems (Washington, D.C.) · 2024Article
- A Review of Energy Supply for Biomachine Hybrid Robots.Cyborg and bionic systems (Washington, D.C.) · 2023Review
- Rattractor-Instant guidance of a rat into a virtual cage using the deep brain stimulation.PloS one · 2023Article
- Deep Learning Empowered Wearable-Based Behavior Recognition for Search and Rescue Dogs.Sensors (Basel, Switzerland) · 2022Article
- [Research on the influence of light with different wavelength on the motion behavior of carp robots].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2021Article
- Ratbot navigation using deep brain stimulation in ventral posteromedial nucleus.Bioengineered · 2019Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A rat cyborg system refers to a biological rat implanted with microelectrodes in its brain, via which the outer electrical stimuli can be delivered into the brain in vivo to control its behaviors. Rat cyborgs have various applications in emergency, such as search and rescue in disasters. Prior to a rat cyborg becoming controllable, a lot of effort is required to train it to adapt to the electrical stimuli. In this paper, we build a vision-based automatic training system for rat cyborgs to replace the time-consuming manual training procedure. A hierarchical framework is proposed to facilitate the colearning between rats and machines. In the framework, the behavioral states of a rat cyborg are visually sensed by a camera, a parameterized state machine is employed to model the training action transitions triggered by rat's behavioral states, and an adaptive adjustment policy is developed to adaptively adjust the stimulation intensity. The experimental results of three rat cyborgs prove the effectiveness of our system. To the best of our knowledge, this study is the first to tackle automatic training of animal cyborgs.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.