Spatial Distribution

Banerjee S et al. (2020) Semantic segmentation of microscopic neuroanatomical data by combining topological priors with encoder–decoder deep networks. Nat Mach Intell. 2020;2(10):585–594. [Link]

BRAIN Initiative Cell Census Network (BICCN). A multimodal cell census and atlas of the mammalian primary motor cortex. Biorxiv. 2020;2020.10.19.343129. [Link]

Matho KS et al. (2020) Genetic dissection of glutamatergic neuron subpopulations and developmental trajectories in the cerebral cortex. Biorxiv. 2021;2020.04.22.054064. [Link]

Muñoz-Castañeda R et al. (2020) Cellular Anatomy of the Mouse Primary Motor Cortex. Biorxiv. 2020;2020.10.02.323154. [Link]

Tward D et al. (2020) Solving the where problem in neuroanatomy: a generative framework with learned mappings to register multimodal, incomplete data into a reference brain. Biorxiv. 2020 Mar 22;39:2020.03.22.002618. [Link]

Wang D et al. (2020) Detection and skeletonization of single neurons and tracer injections using topological methods. Arxiv. 2020 Mar 20;cs.CV. [Link]

Cell types are the elementary building blocks of the mammalian brain, as they determine the properties of local circuits that can be built to serve area-specific brain functions. While there is a growing knowledge of cell type-specific cell anatomy (dendritic morphology and axonal arborization) and physiology (biophysical and synaptic properties and transcriptome profiles), there are virtually no data on quantitative brainwide cell-type distribution. Here we begin to address this knowledge gap by building a cell type-based atlas of the male and female mouse brain.