OpenScope: A Platform for High-Throughput and Reproducible Neurophysiology Open to External Scientists to Test Impactful Theories of Brain Function

项目总结 在过去的五年里，艾伦研究所建造了两条独特的内部管道，用于体内电子和 光生理学：它们共同组成了艾伦大脑天文台。我们利用这个天文台自由地 公开分享来自221只跑步小鼠的约60,000个细胞的钙成像数据，这些小鼠观看标准视觉刺激； 2019年10月，我们将发布来自100只小鼠的100,000个细胞的神经像素电生理记录 在相同的条件下，所有患者都注册到一个共同的解剖坐标系(CCFv3)。我们希望 打开通往社区的大脑观察站管道，实现理论、计算和实验 科学家将在类似天文的过程中测试关于大脑功能的复杂假说 观测夜空的天文台。我们的天文台，名为OpenScope，将每年接受一次 来自外部科学家的实验提案，将由一个领先的专家小组进行审查 可行性和科学价值。艾伦研究所将通过以下方式进行选定的实验， 可重复和开放的活体单区和多区双光子钙成像和 神经像素电生理学，让这些科学家免费获得数据。为这项提议提供资金 将使整个社区获得一个现代化的实验平台，在标准化的基础上运行， 可重现性和高通量条件。这种资源将对计算资源特别有吸引力 和理论社区，进入实验设施的机会有限。我们的项目有可能 通过实施一个天文台模型来改变系统神经科学 在其他科学领域取得成功。通过减少培训、成像和质量控制方面的可变性 动物和实验，通过降低选择、测试和验证最好的想法的门槛，我们希望 加快神经回路的综合观点的进展。

Project summary Over the past five years, the Allen Institute has built two unique in-house pipelines for in vivo electro- and optical-physiology: together they form the Allen Brain Observatory. We used this observatory to freely and openly share calcium imaging data from ~60,000 cells from 221 running mice viewing standard visual stimuli; in October 2019, we will release Neuropixels electrophysiology recordings from ~100,000 cells from 100 mice under the same conditions, all registered to a common anatomical coordinate system (CCFv3). We wish to open the Brain Observatory pipeline to the community, enabling theoretical, computational, and experimental scientists to test sophisticated hypotheses on brain functions in a process analogous to astronomical observatories that survey the night sky. Our observatory, called OpenScope, will accept, once a year, experimental proposals from external scientists, which will be reviewed by a panel of leading experts for their feasibility and scientific merit. The Allen Institute will carry out the selected experiments by following verified, reproducible, and open protocols for in vivo single- and multi-area two photon calcium imaging and Neuropixels electrophysiology, making the data freely available to these scientists. Funding for this proposal will give the entire community access to a modern experimental platform that operates under standardized, reproducible, and high-throughput conditions. This resource will be particularly attractive to the computational and theoretical communities with limited access to experimental facilities. Our project has the potential to transform systems neuroscience by implementing an observatory model that has been tremendously successful in other scientific fields. By reducing variability in training, imaging and quality control across animals and experiments and by lowering the barrier to select, test, and validate the best ideas, we hope to accelerate progress toward an integrated view of neural circuits.