ArticlePloS one2016
Intelligence-Augmented Rat Cyborgs in Maze Solving.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed, 43 citations in OpenAlex.
- Trial
- Construction, Control, and Application of Cyborg Animal Composed of Biological and Electromechanical Systems.Cyborg and bionic systems (Washington, D.C.) · 2026Review
- Article
- Rattractor-Instant guidance of a rat into a virtual cage using the deep brain stimulation.PloS one · 2023Article
- Review
- Ratbot navigation using deep brain stimulation in ventral posteromedial nucleus.Bioengineered · 2019Article
- Constructing living buildings: a review of relevant technologies for a novel application of biohybrid robotics.Journal of the Royal Society, Interface · 2019Article
- Odor Recognition with a Spiking Neural Network for Bioelectronic Nose.Sensors (Basel, Switzerland) · 2019Article
- Human Mind Control of Rat Cyborg's Continuous Locomotion with Wireless Brain-to-Brain Interface.Scientific reports · 2019Article
- Structural connectome alterations in patients with disorders of consciousness revealed by 7-tesla magnetic resonance imaging.NeuroImage. Clinical · 2019Article
- Rapid Decoding of Hand Gestures in Electrocorticography Using Recurrent Neural Networks.Frontiers in neuroscience · 2018Article
- The promise of cyborg intelligence.Learning & behavior · 2017Article
- Global Positioning System-Based Stimulation for Robo-Pigeons in Open Space.Frontiers in neurorobotics · 2017Article
- Automatic Training of Rat Cyborgs for Navigation.Computational intelligence and neuroscience · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cyborg intelligence is an emerging kind of intelligence paradigm. It aims to deeply integrate machine intelligence with biological intelligence by connecting machines and living beings via neural interfaces, enhancing strength by combining the biological cognition capability with the machine computational capability. Cyborg intelligence is considered to be a new way to augment living beings with machine intelligence. In this paper, we build rat cyborgs to demonstrate how they can expedite the maze escape task with integration of machine intelligence. We compare the performance of maze solving by computer, by individual rats, and by computer-aided rats (i.e. rat cyborgs). They were asked to find their way from a constant entrance to a constant exit in fourteen diverse mazes. Performance of maze solving was measured by steps, coverage rates, and time spent. The experimental results with six rats and their intelligence-augmented rat cyborgs show that rat cyborgs have the best performance in escaping from mazes. These results provide a proof-of-principle demonstration for cyborg intelligence. In addition, our novel cyborg intelligent system (rat cyborg) has great potential in various applications, such as search and rescue in complex terrains.
Indexed as
Identifiers
What OpenQuestion holds
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.