Browse our latest Neuroscience articles

Uncovering pharyngeal sour taste receptors in Drosophila melanogaster reveals a novel mechanism for detecting ingested carboxylic acids, expanding understanding of how insects internally sense and respond to appetitive tastants.

Time-related sequential activities in prefrontal cortex exhibit stable coding over weeks, while representations of other variables are dynamic, suggesting that neural sequences are consisted of unique group of neurons.

Associative plasticity of proximal and distal granule cell inputs to Purkinje cells enables time dependent association of information from local and distant receptive fields.

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 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.

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.

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.

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

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.