John C Tuthill

The paper identifies a minimal central pattern generator circuit for fly walking using connectome simulations and experimental validation.

The paper compares glutamate receptor expression in larval and adult Drosophila muscles, finding differences in subunit composition and extrasynaptic expression of GluCl.

Seven high-speed cameras, a hybrid 2D/3D network and body-model inverse kinematics track 50 keypoints on freely moving flies; height and speed peak together at all running speeds.

The paper identifies neural circuits in Drosophila that link respiration to flight and hydration, showing how spiracle control is modulated by both locomotion and internal state.

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 identifies a somatotopic map in the fly leg that guides targeted grooming through a four-layer neural circuit.

The paper demonstrates that a virtual animal combining a worm connectome and fly biomechanics can produce realistic behavior without biological accuracy, highlighting risks of overinterpreting such models.

The paper bridges the gap between the central and peripheral nervous systems in Drosophila by reconstructing wing sensory axons and mapping them to peripheral structures, identifying novel proprioceptors and their connectivity.

This study identifies abdominal multidendritic neurons as the sole somatosensory class driving rapid escape and sustained avoidance in adult Drosophila through thermal nociception.

The paper identifies a neural circuit in Drosophila that suppresses movement-encoding proprioceptive signals during self-generated leg movements.

This study identifies a proprioceptive sensor in Drosophila legs that detects movement limits and mediates sensorimotor reflexes through specific neural connections.

The paper identifies distinct neural circuits in Drosophila for proprioceptive and exteroceptive sensing of the leg using connectomics.

This paper introduces a self-supervised image restoration method for X-ray holographic nanotomography to improve resolution, contrast, and speed in neuronal imaging.

The paper reconstructs and analyzes the female Drosophila ventral nerve cord connectome, identifying neural circuits that coordinate wings and legs during escape takeoff.

The paper analyzes premotor circuits in Drosophila to compare leg and wing motor control networks, finding modular organization and differences in synaptic connectivity.

The paper provides a connectomic description of ascending and descending neurons in the Drosophila nervous system, revealing sexual dimorphism and motor-related circuits.

This study uses a 3D kinematic model of fly walking to show that sensorimotor delays limit robust locomotion, with performance degrading when delays exceed physiological ranges.

This study uses miniature treadmills to analyze adaptive motor control in Drosophila, showing that kinematics differ between treadmill and free walking, and that mechanosensory neurons affect stepping patterns.

This paper replicates and refutes a claim that dietary supplements induce leg regeneration in Drosophila, finding no evidence of regeneration or regeneration-like structures.

The paper investigates biomechanical and molecular mechanisms underlying proprioceptor diversity in Drosophila legs, identifying a biomechanical basis for joint angle selectivity and a goniotopic map of joint angle.

The paper investigates how proprioceptive signals from Drosophila legs are processed by central circuits, revealing parallel pathways for internal and external mechanosensory feedback.

Anipose provides a toolkit for markerless 3D pose estimation using 2D video, enabling analysis of animal movement and motor control.

The paper presents a high-resolution EM dataset of Drosophila ventral nerve cord and develops GridTape for automated EM data collection, revealing a unique feedback pathway in motor control.

This study identifies three Drosophila neuron types that process leg proprioception, revealing how central circuits integrate sensory information to guide motor behavior.

This paper introduces X-ray holographic nano-tomography for imaging dense neuronal structures in Drosophila and mammals, using convolutional neural networks for automated segmentation.

The paper provides a systematic nomenclature for the Drosophila ventral nervous system, extending an existing framework to include thoracic and abdominal neuromeres.

The paper investigates whether a size principle governs motor neuron activity in Drosophila, finding that motor neurons controlling leg flexion follow a size-based hierarchy in function and recruitment order.

The paper investigates how Drosophila leg proprioceptors encode sensory information during movement, identifying distinct neuronal subtypes that encode different kinematic features.