A computer model of the mouse visual cortex shows that local brain circuits are organized as switches whose states are coded as neuronal oscillations with different frequencies.

The technique of serial blockface scanning electron microscopy, which permits the complete reconstruction of neuronal structures, allows comparison of the detailed "wiring diagrams" of lateral-line receptor organs in wild-type and mutant zebrafish.

Artificial neural networks can faithfully recapitulate realistic neuronal behavior with dramatically accelerated simulation runtimes, empowering accessible large-scale realistic network simulations.

Combining a multineuron patch-clamp system with an automated pipette pressure and cleaning device enables efficient screening of synaptic connectivity in human brain slices and allows inter-individual comparison.

Simultaneous sampling of electrical voltages outside the brain with neural signals in the cerebral cortex reveals how electrical currents in mosaics of cortical columns produce an electrical signal that can be measured noninvasively to assess the allocation of attention.

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.

A genetically-defined population of spinal interneurons is reciprocally connected with spinal locomotor circuits and mediates recovery of locomotor function following spinal cord transection.

Negative feedback signals within the substantia nigra regulate the output of the basal ganglia, with implications for disorders such as Parkinson's disease.

Systematic and coordinated variations in morphology and connectivity can structurally tune a microcircuit's computation but non-systematic variably also exists, imparting "connection noise" that potentially limits processing performance.

Modelling differential roles for identified dopaminergic and output neurons of the fruit fly mushroom bodies, combined with a novel dopaminergic plasticity rule, explains neural and behavioural phenomena in olfactory learning tasks.