In feedforward networks with random connectivity, connection motifs underlying the detection of short clusters and activity sequences are likely to converge on a subset of postsynaptic neurons purely by chance.

Global analyses using aneuploid Drosophila revealed the dynamic roles of RNA m⁶A modification in regulating gene expression and development under genomic imbalance, highlighting its potential relationships with dosage-related effects.

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.

Numerous related sample characteristics affect polygenic score performance, and incorporation of interaction effects increases both model and polygenic score performance.