Literature DB >> 19272983

Insect-machine interface based neurocybernetics.

Alper Bozkurt1, Robert F Gilmour, Ayesa Sinha, David Stern, Amit Lal.   

Abstract

We present details of a novel bioelectric interface formed by placing microfabricated probes into insect during metamorphic growth cycles. The inserted microprobes emerge with the insect where the development of tissue around the electronics during the pupal development allows mechanically stable and electrically reliable structures coupled to the insect. Remarkably, the insects do not react adversely or otherwise to the inserted electronics in the pupae stage, as is true when the electrodes are inserted in adult stages. We report on the electrical and mechanical characteristics of this novel bioelectronic interface, which we believe would be adopted by many investigators trying to investigate biological behavior in insects with negligible or minimal traumatic effect encountered when probes are inserted in adult stages. This novel insect-machine interface also allows for hybrid insect-machine platforms for further studies. As an application, we demonstrate our first results toward navigation of flight in moths. When instrumented with equipment to gather information for environmental sensing, such insects potentially can assist man to monitor the ecosystems that we share with them for sustainability. The simplicity of the optimized surgical procedure we invented allows for batch insertions to the insect for automatic and mass production of such hybrid insect-machine platforms. Therefore, our bioelectronic interface and hybrid insect-machine platform enables multidisciplinary scientific and engineering studies not only to investigate the details of insect behavioral physiology but also to control it.

Entities:  

Mesh:

Year:  2009        PMID: 19272983     DOI: 10.1109/TBME.2009.2015460

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  6 in total

1.  Early metamorphic insertion technology for insect flight behavior monitoring.

Authors:  Alexander Verderber; Michael McKnight; Alper Bozkurt
Journal:  J Vis Exp       Date:  2014-07-12       Impact factor: 1.355

2.  Insect-computer hybrid legged robot with user-adjustable speed, step length and walking gait.

Authors:  Feng Cao; Chao Zhang; Hao Yu Choo; Hirotaka Sato
Journal:  J R Soc Interface       Date:  2016-03       Impact factor: 4.118

3.  Recent developments in the remote radio control of insect flight.

Authors:  Hirotaka Sato; Michel M Maharbiz
Journal:  Front Neurosci       Date:  2010-12-08       Impact factor: 4.677

4.  Oral dosing of chemical indicators for in vivo monitoring of Ca2+ dynamics in insect muscle.

Authors:  Satoshi Arai; Shin'ichi Ishiwata; Madoka Suzuki; Hirotaka Sato
Journal:  PLoS One       Date:  2015-01-15       Impact factor: 3.240

5.  Behavioral control and changes in brain activity of honeybee during flapping.

Authors:  Haojia Ding; Jieliang Zhao; Shaoze Yan
Journal:  Brain Behav       Date:  2021-11-22       Impact factor: 2.708

6.  Maze learning by a hybrid brain-computer system.

Authors:  Zhaohui Wu; Nenggan Zheng; Shaowu Zhang; Xiaoxiang Zheng; Liqiang Gao; Lijuan Su
Journal:  Sci Rep       Date:  2016-09-13       Impact factor: 4.379

  6 in total

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