Evripidis Gkanias
Evripidis Gkanias
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Insect-brain inspired neuromorphic nanophotonics
The goal of the project is to develop nanophotonic on-chip devices for integrated sensing and neural computation, inspired by the insect brain.
How do backward-walking ants (Cataglyphis velox) cope with navigational uncertainty?
Backward-walking ants can steer using learnt terrestrial visual cues.
Steering does not require forward body alignment.
Steering may be based on the integration of attractive and repulsive views.
Peeking behaviour is triggered in periods of low directional certainty.
Directional certainty is built on multiple sources of current and past information.
Sebastian Schwarz
,
Leo Clement
,
Evripidis Gkanias
,
Antoine Wystrach
From skylight input to behavioural output: a computational model of the insect polarised light compass
We propose a new hypothesis for how insects process polarised skylight to extract global orientation information that can be used for accurate path integration. Our model solves the problem of solar-antisolar meridian ambiguity by using a biologically constrained sensor array, and includes methods to deal with tilt and time, providing a complete insect celestial compass output. We analyse the performance of the model using a realistic sky simulation and various forms of disturbances, and compare the results to both engineering approaches and biological data.
Evripidis Gkanias
,
Benjamin Risse
,
Michael Mangan
,
Barbara Webb
Insect neuroethology of reinforcement learning
Thesis - Doctor of Philosophy. I inversigated how insects form associative memories in their mushroom bodies and how this impacts their olfactory learning, visual navigation, and time-delayed reinforcements tasks.
Exploiting invisible cues for robot navigation in complex natural environments
Design a sensor that transforms skylight into a compass direction.
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