Computational modeling based on experimental data reveals how spinal sensorimotor circuits control cycle and phase durations during treadmill locomotion after an incomplete spinal cord injury.

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.

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

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.