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Cited by 80EEG and Brain-Computer InterfacesNeuroscience and Neural EngineeringGaze Tracking and Assistive Technology

Brain-computer interface controlled cyborg: establishing a functional information transfer pathway from human brain to cockroach brain.

Open access
Li, Guangye, Zhang, Dingguo·2016·PLOS ONE
DOI 10.1371/journal.pone.0150667PMC PMC4794219
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Abstract

An all-chain-wireless brain-to-brain system (BTBS), which enabled motion control of a cyborg cockroach via human brain, was developed in this work. Steady-state visual evoked potential (SSVEP) based brain-computer interface (BCI) was used in this system for recognizing human motion intention and an optimization algorithm was proposed in SSVEP to improve online performance of the BCI. The cyborg cockroach was developed by surgically integrating a portable microstimulator that could generate invasive electrical nerve stimulation. Through Bluetooth communication, specific electrical pulse trains could be triggered from the microstimulator by BCI commands and were sent through the antenna nerve to stimulate the brain of cockroach. Serial experiments were designed and conducted to test overall performance of the BTBS with six human subjects and three cockroaches. The experimental results showed that the online classification accuracy of three-mode BCI increased from 72.86% to 78.56% by 5.70% using the optimization algorithm and the mean response accuracy of the cyborgs using this system reached 89.5%. Moreover, the results also showed that the cyborg could be navigated by the human brain to complete walking along an S-shape track with the success rate of about 20%, suggesting the proposed BTBS established a feasible functional information transfer pathway from the human brain to the cockroach brain.

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  • A human brain guided the movements of a Madagascar hissing cockroach along an S-shape track, controlling the cockroach antennae via electrical stimulation.

    “In another example of interspecies BTBI, a human brain guided the movements of a Madagascar hissing cockroach along an S-shape track, controlling the cockroach antennae via electrical stimulation (Li and Zhang, 2016).”

    From Human Brain/Cloud Interface (2019) · cites this paper as Li and Zhang, 2016

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Cited by

Sorted by citations

Authors
Li, G., & Zhang, D.
Affiliations
Shanghai Jiao Tong University (CN)
Corresponding author
  • Li, Guangye
  • Zhang, Dingguo
ORCID
Venue
PLOS ONE
Publisher
Public Library of Science (PLoS)
Published
2016-03-16
Volume
11
Issue
3
Pages
e0150667
ISSN
1932-6203 (ISSN-L)
DOI
10.1371/journal.pone.0150667
PMC
PMC4794219
OpenAlex
W2300040203
Cited by
80
References
3
Citations by year
2026: 4 · 2025: 13 · 2024: 10 · 2023: 9 · 2022: 14 · 2021: 7 · 2020: 3 · 2019: 5 · 2018: 5 · 2017: 7 · 2016: 3
FWCI
4.24
Type
journal article
Language
en
Open access
Licence
Locations
  • PLoS ONE (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • National Natural Science Foundation of China (51475292, 863 Program, No. 51475292)
  • National High-tech Research and Development Program
  • National Key Research and Development Program of China (2011CB013305)
  • National Institute on Alcohol Abuse and Alcoholism (R01AA020501)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
  • Physical Sciences › Computer Science › Human-Computer Interaction › Gaze Tracking and Assistive Technology
Keywords
brain-computer interface, brain-to-brain communication, steady-state visual evoked potentials, wireless neural stimulation, motion intention recognition, Bluetooth communication, insect locomotion control
MeSH terms
Adult, Algorithms, Animals, Brain, Cockroaches, Evoked Potentials, Visual, Humans, Male, Man-Machine Systems, Young Adult

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