面向大尺度神经数据的社区开发开源计算生态系统
神经元与认知
2018-04-11 v2 定量方法
摘要
大尺度成像数据在跨越时空尺度与种系的脑科学中正变得愈发突出。我们开发了一个计算生态系统，可在云端存储、可视化和分析这些数据，迄今已涵盖 20 余篇出版物与 100 多太字节，包括纳米尺度超微结构、微尺度突触发生多样性与中尺度全脑连接，使 NeuroData 成为最大且最多样的脑数据开放存储库。
引用
@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}
}