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Embryonic birthdate is a crucial determinant of heterogeneity among CA1 principal neurons, which include a previously overlooked subpopulation of pioneer neurons.

A computational model of the neuronal network that recognizes mating signals reveals network properties that support and constrain behavioral diversity in a species group.

Mitochondrial dysfunction in neural stem cells and brain tumour cells decreases proliferation and affects the generation of neuronal diversity and tumour heterogeneity.

New methods for investigating connectivity between genetically defined neuronal populations are introduced and used to investigate the organisation of excitatory-inhibitory interactions in the superficial entorhinal cortex.

Neuronal diversity is expanded by a temporal fating paradigm utilizing hierarchical gene regulation.

Single cell RNA–sequencing and neuroanatomical methods reveal unexpected molecular diversity and highly segregated spatial organization of neuronal cell types within the mouse ventral posterior hypothalamus, including the mammillary nuclei.

Neuronal participation in generation of motor patterns in the spinal circuits is lognormal, which is an indication of a rich diversity of activity within the mean-driven as well as the fluctuation-driven regimes.

A new cross-species machine learning-based strategy is applied to find enhancers that specifically label parvalbumin neurons in the mouse and macaque.

ATAC-seq, transcriptomics, and transcription factor motif searches collaborate to build a network that regulates gene expression in different cortical layers.

The specification of a very small number of progenitor cells with competence to adapt their neurogenic output to different probabilistic rules underlies the generation of distinct cortical cytoarchitectures.