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

9 Apr 2018Randal BurnsEric PerlmanAlex BadenWilliam Gray RoncalBen FalkVikram ChandrashekharForrest CollmanSharmishtaa SeshamaniJesse PatsolicKunal LillaneyMichael KazhdanRobert Hider Jr.Derek PryorJordan MatelskyTimothy GionPriya ManavalanBrock WesterMark ChevilletEric T. TrautmanKhaled KhairyEric BridgefordDean M. KleissasDaniel J. TwardAiley K. CrowMatthew A. WrightMichael I. MillerStephen J SmithR. Jacob VogelsteinKarl DeisserothJoshua T. Vogelstein

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...

PDF Abstract

Code


No code implementations yet. Submit your code now

Tasks


Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper


METHOD TYPE
🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet