A new method that will allow researchers to visualize and genetically manipulate synaptically connected neurons in a brain circuit.

In neurons of the Drosophila brain’s memory center, PKCδ relays a post-learning dopamine signal to mitochondria, boosting their metabolic activity and thereby unlocking long-term memory formation.

A deep learning-based pipeline was developed for extracting cellular signals flexibly from moving cells in 3D time lapse images, and it outperformed previous methods under different imaging conditions.

A bright and stochastic multicolor labeling method, Tetbow, facilitates millimeters-scale reconstructions of neuronal circuits at a large scale using tissue clearing.

Simultaneous stimulation and recording in awake-behaving pigeons showed that mid-infrared stimulation, as a promising neuromodulation approach, could facilitate or suppress neuronal firing activity depending on its ongoing sensory responsiveness levels, and cause reversible and gain modulation on sensorimotor behavior.

Using Monkey EEG as a bridge technology, color and motion representations in human MEG are linked to microcircuit activity in ventral stream areas.

KymoButler is a machine learning approach towards the reliable, quick, and fully automated analysis of the dynamics of fluorescently labelled particles in living cells.

The conductance-based encoding model creates a new bridge between statistical models and biophysical models of neurons, and infers visually-evoked excitatory and inhibitory synaptic conductances from spike trains in macaque retina.

Anatomical tracing and physiological recordings reveal neuronal pathways through which the cerebellum may influence hippocampal activity.

Two different analysis approaches for measuring neural synchronization to natural music revealed strongest synchronization to musical spectral flux as opposed to the more commonly used amplitude envelope.