# A Community-Developed Open-Source Computational Ecosystem for Big Neuro Data

arXiv: https://arxiv.org/abs/1804.02835 · HTML: https://mlsanity.com/paper/1804.02835/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 9 Apr 2018.

## Built on by (most cited first, 2 of 2)

- [Multiscale Graph Comparison via the Embedded Laplacian Discrepancy](https://mlsanity.com/paper/2201.12064/) (2022)
- [CLAIRE -- Parallelized Diffeomorphic Image Registration for Large-Scale Biomedical Imaging Applications](https://mlsanity.com/paper/2209.08189/) (2022)

## Abstract (arXiv)

Big imaging data is becoming more prominent in brain sciences across spatiotemporal scales and phylogenies. We have developed a computational ecosystem that enables storage, visualization, and analysis of these data in the cloud, thusfar spanning 20+ publications and 100+ terabytes including nanoscale ultrastructure, microscale synaptogenetic diversity, and mesoscale whole brain connectivity, making NeuroData the largest and most diverse open repository of brain data.