An analysis of the first complete synaptic resolution connectome of Drosophila's navigation circuit uncovers neural network motifs supporting broadly relevant sensorimotor computations.

Postmated increases in sucrose consumption in Drosophila melanogaster females is executed by a female specific circuit that alters neuroendocrine centers to promote hunger.

The lysosomal ion channel TPC2 emerges as an example of an ion channel in which ion selectivity is not fixed but rather agonist-selective.

A peptidergic network translates internal nutrient abundance cues into the coordinated regulation of sugar and water ingestion.

Emergent property inference, a novel machine learning methodology, learns distributions of neural circuit model parameters that produce computational properties and provides novel scientific insight through the quantification of the rich parametric structure it captures.

Epigenomic and transcriptomic analysis reveals that paternal obesity influences sperm histone H3 lysine 4 tri-methylation enrichment and placenta gene expression, which in turn negatively impact its development and function in a manner that may contribute to metabolic disease in offspring.

Gustatory information and hunger state impinge on a local, multilayered circuit that drives feeding initiation.