An algorithm for analysing brain connectivity data identifies cell types and connections in simple (C. elegans) and complex (mouse) nervous systems, and can even resolve structure and connectivity in a man-made microprocessor.

The detection of chemical synapses in 3-dimensional electron microscopy data has been automated such that synapses in large-scale connectivity maps of the cerebral cortex, connectomes, can be charted without the need for human interaction.

A new technique called ‘siGOLD’ allows neural circuits to be mapped using a combination of antibody labeling and electron microscopy.

Automated segmentation of neurons and identification of synapses in electron micrographs is significantly improved by using simple modifications to chemical fixation protocols that preserve extracellular space in the brain.

Inter-species variations in connectome architecture across the mammalian phylogenetic spectrum recapitulate established taxonomic relationships defined by genetic, morphology, and behavioural differences, and are mainly driven by local changes in connectivity while hallmark global features tend to be conserved across species.

3D serial electron microscopy reveals that individual dopamine axons in the nucleus accumbens contain different varicosity types based on their vesicle contents, rarely make synapses, and undergo major structural plasticity in response to cocaine.

Integrated imaging analysis of a large multi-center dataset showed that treatment of refractory aggressive behavior with hypothalamic deep brain stimulation is highly effective with specific clinical and neuroimaging features associated with treatment success.

Connectomics of the octopus 'fan-out fan-in’ learning network reveals that the intermediate layer uses approximately 22×10⁶ excitatory interneurons, each can store a single sensory input, while approximately 400×10³ integrating inhibitory interneurons adjust the network output level.

The most influential clocks within the Drosophila circadian clock neuron network form the fewest synapses within the network, and neurons that do not themselves contain molecular clocks mediate connections between those that do, suggesting a key role in timekeeping.

FlyBrainLab is an open-source computing platform that integrates 3D exploration and visualization of diverse Drosophila connectomic/synaptomic datasets with interactive exploration of the functional logic of modeled executable brain circuits.