insect

We propose a celestial compass sensor and model that includs a time-compensation mechanism.

A unique combination of 3D-positional recordings, behavioral analyses, electrophysiological recordings, computational models of visual input and neural circuitry to reveal the insects’ solutions to mitigate noise.

We propose a mechanism that can transform the sun’s position into a compass that points north.

Editor’s Choice Paper 2023. Hardware prototype of the model using a ring of UV-sensitive photodiode pairs, and test it under cloudy and occluded skies.

In this talk I present how our anatomically accurate incentive circuit predicts the responses of mushroom body neurons from the fruit fly brain and how they can be used to create similar behaviour to the one observed in the animals.

We suggest a mechanism that integrates the allocentric velocity of the animal (estimated by the fan-shaped body) and the scene familiarity (estimated by the mushroom body) to a target velocity that drives the behaviour of the animal.

We test the performance of the incentive circuit in the visual place recognition task and suggest that the familiarity must increase along a familiar route. Additionally, PCA whitenning and combinatorial encoding techniques enhanced the separability of visual scenes. The familiarity could be used as input to the central complex for visual homing.

The goal of the project is to develop nanophotonic on-chip devices for integrated sensing and neural computation, inspired by the insect brain.