GALLERY

PUBLICATIONS/PREPRINTS

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]

ABOUT

The goal is to generate brainwide maps of cell-type specific long-range connectivity, establishing a quantitative approach to the study of cell-type distribution and connectivity in the mouse brain. These maps will thus specify the inputs and outputs of neuronal and glia populations in every brain region, corresponding to brain compartments defined in classical neuroanatomy.

DATASETS

BICCN - Huang

BICCN - Osten