Highly accurate automated cell annotation in multi-cell imaging enables cell identification and reduces subjectivity in Caenorhabditis elegans neural image processing.

Thousands of cell-type-specific split-GAL4 driver lines and a massive, searchable image collection enable Drosophila neuroscientists to target neurons of interest with increased precision.

Default mode network and visual cortex are connected via two parallel pathways that differentially respond to the processing of visual scenes and semantic information about objects, reflecting domain-specific organisation.