Single-neuron spikes in a network model of the turtle cortex trigger reliable, yet flexible sequences of activity through a sparse backbone of strong synaptic connections.

A robot capable of automatically obtaining blind whole cell patch clamp recordings from multiple neurons simultaneously guides four interacting electrodes in a coordinated fashion, avoiding mechanical coupling in the brain.

Spontaneous theta oscillations and interneuron-specific phase preferences emerge spontaneously in a full-scale model of the isolated hippocampal CA1 subfield, corroborating and extending recent experimental findings.

Automated liquid handling, whole mount staining, and clearing allow unbiased 3D quantitation of cell markers in human neural organoids with diameters of up to 1 mm at the single-cell level.

Optogenetic activation reveals a larger role for the fly brain 'sleep switch' neurons in controlling both waking and sleeping behavioral responsiveness, partly via a parallel channel involving innexin6 electrical synapses.

For neurons to prevent undesirable synaptic connections in the brain, the combinatorial expression of γ-PCDH is essential.

Patch-walking is a novel automated patch clamp approach for finding synaptic connections in brain tissue, yielding 80–92% more probed connections than traditional approaches.

Short, theta-bursts of action potential firing decrease the global excitability of CA1 pyramidal neurons, providing an internal mechanism which could regulate their allocation to memory engrams.

VRAC activation, observed with a FRET sensor of intracellular LRRC8-domains movement during gating and by fluorometry, requires plasma membrane localization and diacylglycerol signaling, but is independent of intracellular ionic strength.

Unsupervised machine learning on the ultrastructure and shape of cells in volume electron microscopy yields a compact representation of cellular morphology that complements genetics-based cell type characterisation.