Andrew O. Philippides

This paper proposes a model explaining how desert ants control Learning Walks (LWs) through a mismatch between path integration and visual cues, showing it reproduces LW dynamics and transitions to foraging.

This paper investigates how ant navigation strategies, including cast and surge behaviors and oscillatory learning, improve route convergence and performance.

This paper uses an anatomically constrained model to show that the bilateral structure of the insect brain can implicitly encode higher-order visual features used in navigation, without requiring explicit computation.

This paper develops a spiking neural network model of the insect central complex to estimate heading direction using visual cues and demonstrates its ability to track heading in natural scenes.

The paper proposes a model of Drosophila mushroom body learning where dopamine neurons signal reward prediction errors, enabling MBONs to learn accurate reward predictions through plasticity rules.