Rachel I. Wilson

This paper introduces a network model inspired by the insect fan-shaped body that guides an agent's movement through memory and control loops.

The paper presents the first densely reconstructed adult fruit fly connectome integrating the brain and ventral nerve cord, revealing distributed control circuits involving local and long-range neural connections.

The paper shows that adaptive control in Drosophila visual object pursuit involves two parallel pathways with distinct roles and flexibility.

This study identifies descending neurons in Drosophila that predict and influence orientation during walking, showing they integrate internal and external steering signals to produce flexible control.

The paper completes the list of cell types in the Drosophila optic lobe and identifies connectivity rules, revealing new families and clusters related to visual functions.

This study identifies descending neurons in Drosophila that control steering by modulating limb gestures during different phases of locomotion.

The paper shows how two cell types in Drosophila combine head direction and goal signals to produce motor commands for navigation.

This paper introduces a Bayesian ring attractor model that incorporates uncertainty into working memory, showing it outperforms conventional models in accuracy.

The paper identifies two cell types in Drosophila that encode body-centric movement signals and shows how they transform these signals into world-centric coordinates for navigation.

The paper presents an automatic method to identify synaptic partners in a whole-brain Drosophila EM dataset using convolutional neural networks, achieving high accuracy in predicting synaptic connections.

SPARC enables precise control of transgene expression in specific fractions of post-mitotic cells in Drosophila.

The paper examines structural variations in synaptic connections in the Drosophila olfactory system and their impact on neural computation.