A new computational approach for detecting sleep waveforms reveals that the 11–15 Hz sleep 'spindle', a neural rhythm implicated in memory consolidation, co-occurs widely across cortex much more often than previously thought.

High throughput sequencing of Arabidopsis mutants lacking the U6 snRNA methyltransferase FIONA1/METTL16 uncovers the role of U6 methylation in splicing signal preferences.

A simple mathematical model reveals that antibiotic interactions and collateral effects of evolution are inseparable drivers of multidrug resistance linked by the well-known Price equation from evolutionary theory.

A quantitative understanding of molecular tension sensor function enables the production of unique sensors with desired mechanical properties as well as the ability to distinguish between protein force and protein deformation in mechanosensitive processes.

Tonic disinhibition of left motor cortex during prism adaptation enhanced consolidation of sensorimotor and cognitive prism after effects, causing lasting clinical gains in three patient cases with chronic treatment-resistant visual neglect.

A parametrization-invariant synaptic plasticity rule based on natural-gradient descent leads to multiple predictions for the biological plasticity process, some of which relate to well-studied phenomena such as heterosynaptic plasticity.

The numerous reports in support of action-value representation in the striatum are based on statistical analyses that are subject to two critical confounds and, thus, this long-held belief of striatal action-value representation should be retested using different experiments and analyses.

Interspecies comparison of transcription factor occupancy during embryogenesis reveals potential co-operative relationships between factors and uncovers the inherent plasticity of developmental enhancers to overcome divergence in transcription factor occupancy.

Challenging a popular theory in neuroeconomics, a computational cognitive study provides evidence against divisive normalization, a supposedly canonical neural computation, in favor of an alternative account, range normalization, in the context of value learning.