Browse our latest Neuroscience articles

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.

Two distinct objects evoke fluctuating activity in visual cortex in a manner that could preserve information about both items.

Sizes of synapses between layer 2/3 pyramidal cells in mouse primary visual cortex are well modeled by the sum of a binary variable and an analog variable drawn from a log-normal distribution.

Focusing on calcium oscillations in relation to neuronal morphology both in vitro and in vivo, rationally designed GCaMP-X provides a simple solution to neuronal toxicity of conventional GCaMP in imaging applications involving prolonged and/or strong expression of calcium probes.

In adolescent rats, whose actions are more impulsive, neuronal striatal activity that precedes self-initiated action sequences has a steeper modulation by waiting time compared to the modulation found in adults.

Learning to reach in the sensorimotor loop, and the required neural dynamics, can be potentially explained by simple principles.

Flexible cognition relies on a combination of fast inferential learning and slow incremental learning.

Piezo1 ion channels are not modulated by RNA ligands, contrary to previous findings.