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.
@article{arxiv.1804.02835,
title = {A Community-Developed Open-Source Computational Ecosystem for Big Neuro Data},
author = {Randal Burns and Eric Perlman and Alex Baden and William Gray Roncal and Ben Falk and Vikram Chandrashekhar and Forrest Collman and Sharmishtaa Seshamani and Jesse Patsolic and Kunal Lillaney and Michael Kazhdan and Robert Hider and Derek Pryor and Jordan Matelsky and Timothy Gion and Priya Manavalan and Brock Wester and Mark Chevillet and Eric T. Trautman and Khaled Khairy and Eric Bridgeford and Dean M. Kleissas and Daniel J. Tward and Ailey K. Crow and Matthew A. Wright and Michael I. Miller and Stephen J Smith and R. Jacob Vogelstein and Karl Deisseroth and Joshua T. Vogelstein},
journal= {arXiv preprint arXiv:1804.02835},
year = {2018}
}