New experiments and theory reveal how the ability to see image details depends upon photoreceptor function and eye movements, and how fruit flies (Drosophila) see spatial details beyond the optical limit of their compound eyes.

A bulk barcoded quantitative trait locus approach increases the power and resolution of genotype-phenotype mapping in yeast, revealing that the genetic architecture of 18 complex traits is highly polygenic, and is characterized by widespread epistatic interactions and pleiotropic effects.

Whole-brain computational modelling, incorporating novel ML-based parameter estimation techniques, reveals how transcranial magnetic stimulation-evoked brain responses are driven at earlier timepoints by local echoes of the external stimulus, and at later timepoints by large-scale network reverberation across the connectome.

Theory explains how transport of gene expression vortices by cell advection may cause intermingled defective and normal segments along the body axis during resynchronization experiments in the zebrafish segmentation clock.

Neural sensory representations impose an inductive bias over the space of learning tasks, allowing some tasks to be learned by a downstream neuron more sample-efficiently than others.

Emergent property inference, a novel machine learning methodology, learns distributions of neural circuit model parameters that produce computational properties and provides novel scientific insight through the quantification of the rich parametric structure it captures.

Heterozygosity changes the balance between interfering and non-interfering crossovers during Arabidopsis meiosis.

Confluent cellular layers display the remarkable ability of supportingmultiscale orientational order, that is the existence of different typeof liquid crystal order at different length scales.