Daniel Sprague

WormID-Bench evaluates methods for neuron detection, identification, and tracking in C. elegans using a multi-laboratory dataset, highlighting the need for improved computational approaches.

This study shows that C. elegans uses coupled neural oscillators to implement working memory during foraging, integrating sensory input with motor output.

The paper harmonizes whole-brain imaging datasets from multiple labs to enable automated neuron identification and identifies factors influencing neuron positioning in C. elegans.

The paper identifies sex-dependent glial-specific chromatin accessibility changes in late-onset Alzheimer's disease brains using ATAC-seq and links them to LOAD-GWAS regions.

improv enables real-time adaptive neuroscience experiments by integrating modeling, data collection, and analysis across organisms and data types.