Techniques are presented to facilitate widespread and standardized chronic use of Neuropixels probes for high-yield, long-term neural recording in freely moving animals.

A new device enables researchers to use and recycle extracellular electrodes (e.g. Neuropixels) for high-yield recordings during freely moving mouse experiments.

Local sensory signals in visual and frontal cortex play a causal role in task performance, while widespread dorsal cortical signals correlating with movement reflect processes that do not.

A neuroanatomical analysis of Rimicaris exoculata provides insights into these animal’s brain architecture to illustrate possible adaptations to the hydrothermal vent habitat with its extreme physicochemical conditions.

Electrophysiological and morphological identification of individual pheromone projection neurons in male moth reveals a coding system for optimizing mate search strategy, including computation of three female-produced signals in distinct protocerebral regions.

Neuronal interacting proteome reveals that the cellular dynamics of the lissencephaly-associated extracellular matrix receptor dystroglycan are governed by the exocyst complex, which is key for proper brain assembly.

A map of the entire array of cell types and potential projections in the mushroom body of the fruit fly brain provides insights into the circuitry that supports learning of stimulus-reward and stimulus–punishment associations.

Demonstrating extreme diversity across crustaceans while contrasting with evolutionary stability in insects, mushroom body homologues further underpin the unity of Pancrustacea and shed new light on arthropod brain evolution.

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.

Discrepancies between functional responses measured with electrophysiology and calcium imaging can be largely reconciled by considering the spike-to-calcium transfer function, neuronal sampling bias, and cluster merging artifacts during spike sorting.