Browse our latest Neuroscience articles

Increasing semantic relationships with old information accelerates learning and enhances memory for new information and increases the likelihood of both old and new information being recalled together.

When exposed to prolonged stressful stimulation, rats start to emit long, frequency-unmodulated 44-kHz ultrasonic vocalizations, usually within the 35–50 kHz range, along with, previously described, long and unmodulated 22-kHz ultrasonic vocalizations.

The spatial autocorrelation method Local Moran’s I was used for image segmentation to delineate pixel clusters representing congruous objects with fuzzy borders, in this case potassium ion channel clusters.

The subjective value of choice options changes during deliberation, and accounting for these changes improves predictions of choices, response times, and BOLD fMRI activity.

The perception of ambiguous steps in relative tone height is predicted by direction-selective cells in the auditory cortex, rather than the brain's represented distance between the tone heights.

A novel methodological strategy based on machine learning has been developed to study brain evolution across species.

The visual information walkers use for path selection during locomotion was revealed by analysis of a three-dimensional numerical representation of the natural terrain.

A mathematical model can predict the path walkers take through a rugged landscape, including the tendency of people to avoid paths that are too steep, even if it means going farther.

Computational modeling shows how neural mechanisms for mitigating biological constraints (such as neurons’ limited firing range) may eventually result in complex though predictable irrational behavior.

Motor units within a pool exhibit distinct rate coding as force levels change, highlighting how gain control can transform inputs with limited bandwidth into the desired muscle force.