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A handheld neural stimulation controller for avian navigation guided by remote control

  • Shinyong Shim
  • , Seunghyeon Yun
  • , Sunhyo Kim
  • , Gwang Jin Choi
  • , Changhoon Baek
  • , Jungwoo Jang
  • , Younginha Jung
  • , Jaehoon Sung
  • , Jeong Hoan Park
  • , Kangmoon Seo
  • , Jong Mo Seo
  • , Yoon Kyu Song
  • , Sung June Kim

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)

Abstract

BACKGROUND: Animal learning based on brain stimulation is an application in a brain-computer interface. Especially for birds, such a stimulation system should be sufficiently light without interfering with movements of wings. OBJECTIVE: We proposed a fully-implantable system for wirelessly navigating a pigeon. In this paper, we report a handheld neural stimulation controller for this avian navigation guided by remote control. METHODS: The handheld controller employs ZigBee to control pigeon's behaviors through brain stimulation. ZigBee can manipulate brain stimulation remotely while powered by batteries. Additionally, simple switches enable users to customize parameters of stimuli like a gamepad. These handheld and user-friendly interfaces make it easy to use the controller while a pigeon flies in open areas. RESULTS: An electrode was inserted into a nucleus (formatio reticularis medialis mesencephalic) of a pigeon and connected to a stimulator fully-implanted in the pigeon's back. Receiving signals sent from the controller, the stimulator supplied biphasic pulses with a duration of 0.080 ms and an amplitude of 0.400 mA to the nucleus. When the nucleus was stimulated, a 180-degree turning-left behavior of the pigeon was consistently observed. CONCLUSIONS: The feasibility of remote avian navigation using the controller was successfully verified.

Original languageEnglish
Pages (from-to)497-507
Number of pages11
JournalBio-Medical Materials and Engineering
Volume30
Issue number5-6
DOIs
Publication statusPublished - 2020

Bibliographical note

Publisher Copyright:
© 2019 IOS Press and the authors. All rights reserved.

Keywords

  • Avian navigation
  • brain-computer interface
  • handheld controller
  • neural stimulation
  • remote control

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