By centralizing many of the tasks associated with the upkeep of scientific software, SBGrid allows researchers to spend more of their time on research.

Visualization methods display the dynamics of the currents in conductance-based model neurons, and show how their contribution changes in response to perturbation.

The link between the activity of large populations of cortical neurons and single neuron responses is examined in primates using a new optical-genetic method.

The ability to rapidly stain for any combination of genes in intact tissue with automated quantification of transcripts in individual cells and spatial re-mapping affords new insights into lung biology, and will greatly accelerate progress in scientific and medical research.

ADeS, a novel deep learning approach for apoptosis detection, achieves 98% accuracy in vitro and in vivo while providing unprecedented insights into the spatial–temporal foundation of cell death.

A systematic high-throughput neurohistological and computational pipeline for marmoset which establishes a foundational setup in brain mapping and circuit tracing to support current and emerging research in primate studies.

A dual-channel image registration pipeline combined with deep-learning inference achieves accurate-and-flexible registration/segmentation/mapping of mouse brain.

Brian 2 is a software package for neural simulations that makes it both easy and computationally efficient to define original models for computational experiment.

X-ray histotomography produces the first 3-dimensional images with the combined submicron resolution, centimeter fields-of-view, soft-tissue contrast, and potential throughput to enable quantitative, histopathological and centimeter-scale phenotyping for whole-organism phenomics.

A new autoencoder-based genotype imputation method shows superior accuracy across human genomes of diverse ancestry and across the allele-frequency spectrum, while delivering significantly faster inference run times relative to standard imputation tools.