Transcriptomes of cells in the Drosophila visual system combined with anatomy and other information reveal new functional insight into the visual circuit.

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.

Frontal cortical circuit alterations and cognitive deficits identified in mouse genetic models are reversed by chemogenetic or optogenetic stimulation of the mesocortical dopamine circuit in an adolescent period.

A fundamental visual computation, the establishment of ON selectivity, is established across distributed circuits, allowing for more robust and flexible coding than suggested by core circuit motifs.

Building on previous work (Entchev et al, 2015), computational analyses reveal that the choice between redundant versus synergistic encoding in a gene expression code for food abundance is controlled by cross-talk and auto-regulation among TGF-beta and serotonin pathways.

Large-scale changes in the brain's functional circuitry can be brought about by simple changes in gene expression in neural stem cells during development.

A method combining optimised genetic code expansion and optogenetics allows dissection of neural circuits with single-cell precision in freely moving animals.

A sexually dimorphic circuit node controls a persistent, internal state that promotes fighting and mating in Drosophila, revealing parallels with mammalian systems suggestive of a conserved circuit "motif" controlling social behaviors.

The location of neurons responsible for increasing the breathing rate upon detecting elevated levels of CO₂ in the blood has been pinpointed to the retrotrapezoid nucleus in the brainstem.

Coordinated activation and deactivation of inhibitory neurons triggers sequential muscle contractions that enable fruit fly larvae to propel themselves backwards and forwards.