Combining computational models with FMRI in humans during pain reversal learning reveals parallel pain modulatory brain circuits that differ in their flexibility and sensitivity to instructions.

A biophysically detailed model of mouse primary visual cortex reproduces, in a quantitative manner, experimentally recorded spikes and local field potentials, and suggests mechanisms that form current sinks and sources in vivo.

Touch-mediated social interactions in human females elicited endogenous oxytocin and brain responses in a covariant manner, and these changes were modulated by the familiarity of the person delivering touch as well as the recent history of social interaction.

Promoting a Warburg-like shift in astrocytic metabolism through reduced mitochondrial electron transport accommodates the energetic burden caused by brain trauma without overwhelming cellular respiration and redox to salvage dopaminergic neurons.

Natural genetic variation reveals how DNA sequence impacts core transcriptional processes of initiation, pause, and termination.

Relative hydraulic resistance, shear rate, and pressure in a vascular network integrate the network's architecture via fluid flow, and determine vein dynamics, with a time delay, in the prototypical organism Physarum polycephalum.

Comprehensive 3D electron tomography reconstructions of metaphase spindles in human tissue culture cells reveal that kinetochore-fibers broaden as they extend polewards, forming semi-direct connections to the pole, where they preferentially interact with the spindle network.

Unbiased and automatic annotation using structured prediction framework with efficiently built data-driven atlases is more accurate than registration-based methods for cell identifications in dense images and enables fast whole-brain analysis.

Harmful genetic variants at mendelian disease genes slow down adaptation, by interfering with the spread of adaptive variants in a population.

Classical theoretical approaches to studying the cerebellar cortex are generalized to a broader set of learning tasks, revealing that the optimal value for the sparsity of granule cell activity is task-dependent.