Browse our latest Neuroscience articles

Blocking D2 dopamine receptors increases goal-directed (“model-based”) control when alternative habitual ("model-free") actions are available, whereas blocking opioid receptors does not seem to have an effect on the arbitration between the two modes of acting.

Artificial neural networks could pave the way for efficiently simulating large-scale models of neuronal networks in the nervous system.

Cholesterol plays an essential role in hair bundles, and Kiaa1024L/Minar2 regulates cholesterol distribution and homeostasis to ensure normal hearing.

Specific deletion of Cav3.2 channels in anterior pretectal neurons reduced mechanical and cold allodynia, pointing to Cav3.2 channels as prime targets to develop innovative analgesic pharmacology that will not only act at the peripheral level but also in central structures.

Primate hand preference strength but not direction (left vs. right) generally reflects phylogeny and ecology at species level, but human handedness deviates markedly from all other species.

Approximately half of the associations identified between attention-deficit/hyperactivity disorder and brain morphology in two large independent studies of adolescents are likely due to confounding bias by socioeconomic and parental behavioral factors.

Quantitative imaging of neurons reveals how opioid agonists produce long-term functional tolerance at presynaptic terminals through rapid internalization of receptors from the axonal surface.

A novel machine learning approach improves quantitative comparisons of mouse and human brains using spatial transcriptomics data sets.

Unsupervised clustering of the heterogeneous functional brain organization in autism reveals generalizable patterns of connectivity alterations that extend to the general population.

GLMsingle is a publicly available toolbox for analyzing fMRI time-series data that leverages data-driven optimization techniques to improve the accuracy of single-trial BOLD response estimates.