A lineage-based intersectional genetic approach reveals brain-wide distribution and input connectivity of axo-axonic interneuron cells and establishes experimental access to study the circuit function of a ground truth cell type.

Humans trained to flexibly control individual motor units within a muscle do not naturally learn to gain control over recruitment order.

Dopamine neurons projecting to different targets receive a similar set of inputs, rather than forming reciprocal connections, whereas those projecting to the posterior striatum receive a distinct set of inputs.

A brain-wide mapping of the direct inputs to striatal cholinergic and parvalbumin interneurons reveals connectivity differences and implies their distinct roles in regulating striatal function.

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

Chandelier cells in primary visual cortex show experience-dependent plasticity, respond strongly to behaviorally relevant stimuli and only weakly inhibit pyramidal cells.

Incremental deep learning enables accurate tracking of cell lineages in 3D with a modest investment in time and effort.

Whole-brain quantitative input-output circuits of glutamatergic and GABAergic neurons in the mouse dorsal and median raphe nuclei were mapped using viral tracing and high-resolution optical imaging.

A new deep-learning software toolkit with general-purpose methods for quickly and reliably measuring the full body posture of animals directly from images or videos without physical markers.

GABAergic parvalbumin-expressing 'orchid cells' of the medial septum selectively target GABAergic neurons in connected extra-hippocampal areas of the mouse, providing rhythmically bursting inhibitory input at the peak of hippocampal 5-12 Hz theta oscillatory cycles.