Thomas R. Clandinin

The paper introduces a method to achieve unilateral gene expression in Drosophila by using maternal-to-zygotic transition machinery for somatic recombination during early development.

The paper develops a genetically encoded voltage indicator to measure subthreshold voltage dynamics in neurons, revealing electrical diversity and local computation.

This study introduces a new microscopy technique to track neocortical activity with high spatial and temporal resolution, revealing fundamental dynamical elements and their properties across different neural activity regimes.

The paper identifies directional elements in brain dynamics that encode causal control hierarchies and show robustness to neural state manipulations.

This study identifies GABAergic feedback neurons C2 and C3 as critical for direction selectivity in Drosophila motion detection circuits.

The paper compares connectomic predictions of neuronal function with physiological measurements in fruit flies, finding that predictions are accurate for some properties but poor for others, and that strong synaptic inputs have a significant influence on function.

The paper shows that glia phagocytose neuronal sphingolipids to support their development and synapse infiltration in fruit flies.

BIFROST registers diverse Drosophila brain imaging datasets into a common anatomical space, enabling cross-experiment and cross-modality comparisons with sub-10 micron precision.

The paper improves positively tuned voltage indicators by enhancing their kinetics and contrast for better spike detection.

This paper identifies a recurrent neural circuit in Drosophila that enhances contrast of moving edges by deblurring visual inputs through temporal processing.

The paper maps neural activity associated with walking across the entire Drosophila brain, identifying global and clustered signals linked to locomotion and future movement anticipation.

This study shows that Drosophila can suppress and reverse optomotor turning in response to specific visual stimuli, indicating complex dynamics beyond simple reflexes.

The paper identifies neural activity patterns in Drosophila that predict future turning directions before movement, suggesting internal motor planning.

This paper introduces positively tuned GEVIs that enhance spike detection in vivo with standard imaging systems, offering higher temporal resolution than calcium indicators.

The paper introduces a platform to classify chemical cues by their chemosensory valence in C. elegans, identifying 37 plant small molecules that attract or repel wild-type worms.

The paper shows that in Drosophila, visual feature detection is enhanced by dynamic modulation of neural gain during locomotion, with motor and visual signals adjusting sensitivity during saccades and intersaccadic intervals.

This study shows that glial cells regulate sphingolipid levels to drive daily remodeling of circadian circuits in Drosophila.

The paper creates a single-cell transcriptomic atlas of the adult fruit fly, identifying over 250 cell types and analyzing gene signatures and sexual dimorphism across tissues.

The paper shows that mechanosensory input during Drosophila circuit formation regulates patterned spontaneous network activity (PaSNA), which is essential for larval locomotor behavior.

The paper demonstrates causal coupling between neural activity, metabolism, and behavior in the Drosophila brain using simultaneous measurements of activity and metabolic flux across behavioral states.

The paper uses Drosophila connectome data and in vivo imaging to show that functional connectivity is linked to anatomical pathway strength and reveals conserved structural-functional relationships in mesoscale brain networks.

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