Browse our latest Neuroscience articles

Spiking neural networks become robust to various perturbations of their parameters if their voltages are confined to a lower-dimensional subspace, and both dynamics and robustness can be visualised in this voltage subspace.

Novel procedures for viral gene transfer in zebrafish enable visualization and manipulation of specific neurons.

Hearing a single auditory error while speaking causes an adaptive change that corrects for that error the next time we say a word, providing empirical support for current models of speech sensorimotor adaptation and aligning speech with other motor domains.

The membrane nonlinearities of the dendritic arbor of striatal cholinergic interneurons conspire with the spatial distribution of its excitatory inputs to preferentially boost thalamic inputs.

An electrophysiology-based genetic screen in Drosophila identified a role for the E3 ligase Thin in presynaptic homeostatic plasticity.

Interhemispheric inhibition can be manipulated by directly and bidirectionally modulating the bilateral sensorimotor excitabilities in a spatially bivariate Brain-Computer Interface-based neurofeedback paradigm.

Selfee, a self-supervised learning approach, is designed to extract comprehensive and discriminative features directly from raw videos of animal behaviors which can be used for in-depth analysis.

Gustatory information and hunger state impinge on a local, multilayered circuit that drives feeding initiation.

A theoretical model combines self-supervised predictive learning with structural inductive biases to reveal how quasi-continuous attractors that perform accurate angular path integration can be learned from experience during development in the Drosophila and potentially other animal models.

A combination of physiological, histological, and optical approaches reveals synapse-specific function of α-synuclein in mouse brain under both normal and pathological states.