Fly H1-Cell Distance Estimation in a Monocular Virtual Reality Environment
Pages 325 - 337
Abstract
The ability of animals and robots to move through a given environment without colliding with any obstacles requires a robust distance estimation mechanism. Previous electrophysiological studies and work using a biohybrid fly-robot-interface (FRI) suggest that fly directional-selective interneurons may be involved in the neural control of collision-avoidance behaviour. We have set up a virtual reality (FlyVR) environment and studied the blowfly’s H1-cell, an interneuron analyzing visual wide-field motion, to access its distance-dependent responses that was discovered using the FRI. The results gathered under open-loop FlyVR conditions are in qualitative agreement with open- and closed-loop data obtained on the FRI. They suggest that the capability of flies to estimate distance may depend on the animal’s specific movement trajectory in combination with the receptive field properties of the H1-cell. Our findings in the fly motion vision pathway may inform the design of energy-efficient collision avoidance strategies for autonomous robotic systems.
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Published In
Jul 2023
476 pages
ISBN:978-3-031-38856-9
DOI:10.1007/978-3-031-38857-6
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.
Publisher
Springer-Verlag
Berlin, Heidelberg
Publication History
Published: 01 August 2023
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