Hannah Haberkern

MoMo is an interactive visualization framework that analyzes neuron morphology-aware motifs in connectomes, enabling efficient subgraph isomorphism searches and intuitive exploration through a sketch-based interface.

This paper identifies a hierarchical steering circuit in Drosophila that transforms navigational signals into coordinated motor actions during walking and flight.

This study investigates how flies balance exploration and exploitation during local search, finding that satiety drives a shift from exploiting to exploring, while optogenetic activation does not.

This study identifies a neuronal population in Drosophila that integrates nutritional state and food patch density to regulate foraging decisions.

The paper shows that Drosophila maintains a stable head direction representation in naturalistic environments by tethering to global cues, even when local landmarks create potential conflicts.

The paper presents the first complete connectome of the Drosophila central complex, revealing network motifs that support flexible navigation and context-dependent action selection.