Research Interests: invertebrate vision, neural control of flight, multi-electrode arrays, neural interfaces, high density neural recording.Job Interests: Academic/Industry R&D
Implantable Microengineered Neural Interfaces for Studying and Controlling Insects [BPN571]
Our goal is to control the flight of an insect by appropriating its sensory systems. Although significant funding has gone in to developing micro air vehicles (MAVs, wingspan <15cm), flying insects still significantly outperform the most sophisticated flying robots in efficiency, flight time, stability, and maneuverability. The restrictions that such a small spatial scale places on the amount of energy that can be stored on-board and on actuator efficiency means that this gap is expected to continue for a number of years to come. We are therefore pursuing a novel MAV design that uses an actual flying insect. We strive to produce small insect backpacks capable of receiving commands remotely and providing power to a combination of neural and optical stimulators. The patterns of stimulation will allow us to trick the insects motor-sensory system into responding to fictitious self-movements. We aim to use these 'ghost' stimuli to remotely control the insect's flight, while at the same time capitalizing on their remarkable natural flying abilities. The project has advanced to testing devices in free-flight and optimizing the stimulation parameters.