Joshua W. Shaevitz

Learning fly pose from vision-language annotations

This paper uses a vision-language model to generate annotations for fruit fly pose estimation, achieving high accuracy and enabling efficient training of pose estimation networks.

Capillary bundling of microtubules by condensates

This study demonstrates that microtubule bundling can occur through condensate-mediated capillary forces, independent of bulk protein concentration.

Soil texture regulates bacterial motility and chemotactic recruitment to plant roots

This study shows that soil texture affects bacterial motility and chemotactic recruitment to plant roots by altering pore-scale dynamics and effective diffusivity.

Sensing the shape of a surface by intracellular filaments

This paper develops a biophysical model to explain how MreB filaments localize to curved surfaces in bacteria, showing that their curvature preference is governed by mean and Gaussian curvatures.

Active surface waves drive rippling in Myxococcus xanthus colonies

The paper investigates rippling in Myxococcus xanthus colonies and finds that surface waves, not synchronized cell motility, drive the phenomenon, supported by physical modeling and experimental verification.

3D Agent-based modeling without chemical signaling recreatescollective behaviors seen in Myxococcus xanthus colonies

This study uses 3D agent-based simulations to show that changes in cell motility, without chemical signaling, can recreate collective behaviors and fruiting body formation in M. xanthus colonies.

Capillary interactions drive the self-organization of bacterial colonies

This study shows capillary forces organize bacterial colonies into dense, nematic groups and influence their collective dynamics.

Macromolecular interactions and geometrical confinement determine the 3D diffusion of ribosome-sized particles in live Escherichia coli cells

This study tracks ribosome-sized particles in E. coli to show that their 3D diffusion is influenced by macromolecular interactions and geometrical confinement, revealing sub-diffusive motion due to nucleoid and cell boundary constraints.

Cerebellar contributions to a brainwide network for reversal learning

This paper investigates cerebellar contributions to reversal learning by mapping brainwide networks through c-Fos activation and identifies distinct effects of lobule VI and crus I inactivation.

Decoding locomotion from population neural activity in moving C. elegans

The paper decodes locomotion from population neural activity in C. elegans, finding that neural populations, not single neurons, better decode movement and that immobilization alters neural correlations.

Deep behavioral phenotyping of mouse autism models using open-field behavior

This paper develops a deep learning framework to analyze mouse behavior in the open field test, revealing distinct adaptation patterns in autism models.

Optogenetic dissection of descending behavioral control in Drosophila

This study uses optogenetics to analyze how descending neurons in Drosophila influence behavior by mapping behavioral responses to neuronal activation.