Antoine Wystrach

This study shows that ants dynamically update visual memories during navigation, with extinction occurring continuously and recovery triggered by novel visual input.

This study shows that scanning behaviors in desert ants emerge from conserved neural circuits without a specialized module, using a biologically grounded model.

The paper shows that the optomotor response in ants and earwigs is driven by predictive coding and oscillations, not direct visual input, and concludes these mechanisms are ancestral in insect brains.

This study shows that ants use a simple heuristic to decide if a visual scene is worth exploring, based on the presence of both vertical and horizontal edges.

This study compares navigation behaviors in 15 ant species, finding that olfactory navigation is dominant, path integration is limited to arboreal ants, and view-based navigation is influenced by body size and eye size.

The paper explores how visual learning differs from olfactory learning in insect Mushroom Bodies using a computational model in a virtual environment.

This study shows desert ants use latent learning to memorize routes without forming map-like spatial representations, relying instead on egocentric visual memories.

This study uses fast calcium imaging to analyze honey bee olfactory coding and shows how mushroom body connectivity explains odor discrimination and associative learning.

The paper shows how insect navigation relies on continuous visual learning orchestrated by neural circuits connecting pre-motor areas and mushroom bodies.

This study shows that muscle attachment site selection and morphology are intrinsic to muscle identity, using Drosophila mutants generated by deleting cis-regulatory modules.