Browse our latest Neuroscience articles

A novel BAC226Q mouse recapitulating robust, age-dependent, progressive Huntington’s disease (HD)-like phenotypes will be a valuable tool for studying disease mechanisms, identifying biomarkers, and testing gene-targeting therapeutic approaches for HD.

NMNAT1, a ubiquitously expressed metabolic enzyme linked to inherited blinding disease, is crucial for the proper differentiation of photoreceptor cells and subsequent survival of multiple cell types in the retina.

Quantitative super-resolution correlative light and electron microscopy reveals a constant glycine receptor density at native spinal cord synapses that is maintained in the oscillator mouse model of human hyperekplexia.

Mice modelling atherosclerosis show neurovascular breakdown in the cortex compared to healthy controls, and inducing atherosclerosis in mice modelling Alzheimer's disease increases the number of amyloid plaques in the hippocampus.

At mammalian synapses the clathrin adaptor AP-2 plays a crucial role in the endocytic retrieval of a subset of synaptic vesicle proteins from the presynaptic cell surface, while clathrin is dispensable.

Mouse gaze shifts are unexpectedly flexible.

An energetic cost related to force rate is quantified in human arm movements, and minimizing this cost predicts smoothness without minimizing variance, unifies motor-planning of smoothness and movement duration, and may help resolve motor redundancies.

By participating in the microglomerular microcircuit in the Drosophila mushroom body calyx, the anterior paired lateral neuron normalizes odour-evoked representations at the calyx via inhibition proportional to the input strength and localized to the regions where those inputs are positioned.

Rare SARM1 alleles encoding SARM1 variants that have constitutively high NADase activity and sensitise cultured neurons to mild stress are risk alleles for ALS and other, related motor disorders.

Small gated recurrent neural networks can dynamically adapt to inferred changes in the environment, represent and use the precision of their estimate to weight their updates, and leverage the environment's latent hierarchical structure, like the Bayesian agent and the brain.