Role of a collision-sensitive neuron during collision avoidance in flight
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1
Baylor College of Medicine, United States
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2
Rice University, United States
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3
Intan Technologies, LLC, United States
The neural mechanisms underlying collision avoidance in flight are largely unknown territory. Using a custom designed telemetry chip we record from the DCMD (Descending Contralateral Movement Detector), a collision detecting neuron, and flight muscles of a locust (Schistocerca americana) flying in a wind tunnel.
Simultaneously, two high-speed video cameras are used to record flight data of the locust while it performs collision avoidance manoeuvres in response to the simulated approach of an object on a collision course with the animal (i.e., a looming stimulus). Using custom built software, we reconstruct in 3D flight parameters like body orientation and wing height from the stereoscopic videos.
Neural data is then correlated with behavioural data to shed light on the neural basis of this behaviour. In addition, we design a filter-based system using the muscle and neural signals to control a virtual drone.
Keywords:
collision avoidance,
DCMD,
flight,
grasshopper,
Locust,
Robotics,
Wireless Neural Recording
Conference:
Tenth International Congress of Neuroethology, College Park. Maryland USA, United States, 5 Aug - 10 Aug, 2012.
Presentation Type:
Poster (but consider for student poster award)
Topic:
Sensory: Vision
Citation:
Chan
RW,
Gabbiani
F and
Harrison
R
(2012). Role of a collision-sensitive neuron during collision avoidance in flight.
Conference Abstract:
Tenth International Congress of Neuroethology.
doi: 10.3389/conf.fnbeh.2012.27.00119
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Received:
25 Apr 2012;
Published Online:
07 Jul 2012.
*
Correspondence:
Dr. Raymond W Chan, Baylor College of Medicine, Houston, United States, rchan@cns.bcm.edu