Hannes Rapp

Larvaworld is a virtual laboratory platform for Drosophila larvae that integrates agent-based modeling with neural control and analysis of simulated and experimental data.

This paper presents a biologically detailed neural circuit model of the insect mushroom body that learns and executes cast & surge strategies for foraging in turbulent odor plumes using spike-based plasticity.

The paper presents a neural circuit model of the insect mushroom body that learns and recalls sensory-motor strategies for foraging in turbulent odor plumes.

This paper demonstrates a single spiking neuron model that can learn to estimate numerosity and perform counting tasks with high precision, outperforming convolutional neural networks in some scenarios.