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Unsupervised machine learning on the ultrastructure and shape of cells in volume electron microscopy yields a compact representation of cellular morphology that complements genetics-based cell type characterisation.

A parallel neuronal network architecture ensures control of basic feeding reflex circuits via integration of crossmodal sensory information to filter multiple biological events and enhance meaningful behavioral choice.

Manipulating the activity of ‘stretch-sensitive’ ion channels in neurons innervating the digestive system of fruit flies has dramatic effects on food intake, suggesting that these ion channels could be targets for drugs to help tackle obesity.

Clinical data of SARS-CoV-2 patients presenting atypical symptoms must be recorded systematically to support continuing research investigating neurological complications associated with COVID-19.

Core of a neuroendocrine synaptic network consists of a parallel set of interneurons that target distinct combinations of neuroendocrine outputs, thus enabling variability and flexibility in selection of physiological activity.

Of the two divisions proposed long ago to describe the autonomic nervous system, thoraco-lumbar sympathetic and cranio-sacral parasympathetic, the latter finds no support from transcriptionally defined neuron types.

An imaging pipeline together with a collection of transgenic nematode strains provide a strategy to visualize and properly quantify synaptic connectivity in the C. elegans brain.

Molecular profiling of annelid myocytes reveals that the last common protostome-deuterostome ancestor already possessed a dual musculature, with visceral smooth muscles ensuring digestion and somatic striated muscles ensuring locomotion.

Single-cell dissection of recent neural crest derivatives in the vertebrate zebrafish reveals diverse transcriptomic signatures among differentiating posterior cell types during the embryonic to larval stage transition.