NDLI: Generation of complex motor patterns in american grasshopper via current-controlled thoracic electrical interfacing

Content Provider	IEEE Xplore Digital Library
Author	Giampalmo, S.L. Absher, B.F. Bourne, W.T. Steves, L.E. Vodenski, V.V. O'Donnell, P.M. Erickson, J.C.
Copyright Year	2011
Description	Author affiliation: Physics major, Washington and Lee University, 204 W Washington Street, Lexington, VA 24450, USA (Absher, B.F.) \|\| Computer Science major, Washington and Lee University, 204 W Washington Street, Lexington, VA 24450, USA (Steves, L.E.) \|\| Physics-Engineering majors, Washington and Lee University, 204 W Washington Street, Lexington, VA 24450, USA (Bourne, W.T.; Vodenski, V.V.) \|\| Biology majors, Washington and Lee University, 204 W Washington Street, Lexington, VA 24450, USA (Giampalmo, S.L.; O'Donnell, P.M.) \|\| Physics-Engineering, Washington and Lee University, 204 W Washington Street, Lexington, VA 24450, USA (Erickson, J.C.)
Abstract	Micro-air vehicles (MAVs) have attracted attention for their potential application to military applications, environmental sensing, and search and rescue missions. While progress is being made toward fabrication of a completely human-engineered MAV, another promising approach seeks to interface to, and take control of, an insect's nervous system. Cyborg insects take advantage of their innate exquisite loco-motor, navigation, and sensing abilities. Recently, several groups have demonstrated the feasibility of radio-controlled flight in the hawkmoth and beetle via electrical neural interfaces. Here, we report a method for eliciting the “jump” response in the American grasshopper (S. Americana). We found that stimulating the metathoracic T3 ganglion with constant-current square wave pulses with amplitude 186 ± 40 μA and frequency 190 ± 13 Hz reproducibly evoked (≥95% success rate) the desired motor activity in N=3 test subjects. To the best of our knowledge, this is the first report of an insect cyborg with a synchronous neuromuscular system.
Starting Page	1275
Ending Page	1278
File Size	860822
Page Count	4
File Format	PDF
ISBN	9781424441211
ISSN	1557170X
e-ISBN	9781457715891
e-ISBN	9781424441228
DOI	10.1109/IEMBS.2011.6090300
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-08-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Electrodes Synchronous motors Insects Legged locomotion Muscles Traction motors Testing
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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