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

项目概要 在过去的五年里，艾伦研究所已经建立了两条独特的内部管道，用于体内电和 光学生理学：它们共同组成了艾伦大脑天文台。我们自由地利用这个天文台 公开分享来自观察标准视觉刺激的 221 只奔跑小鼠的约 60,000 个细胞的钙成像数据； 2019 年 10 月，我们将发布来自 100 只小鼠的约 100,000 个细胞的 Neuropixels 电生理学记录 在相同的条件下，所有这些都注册到一个共同的解剖坐标系（CCFv3）。我们希望 向社区开放大脑观测站管道，实现理论、计算和实验 科学家们以类似于天文观测的过程来测试关于大脑功能的复杂假设 观测夜空的天文台。我们的天文台称为 OpenScope，每年一次接受 来自外部科学家的实验建议，将由领先专家小组对其进行审查 可行性和科学价值。艾伦研究所将通过以下验证来进行选定的实验， 用于体内单区域和多区域双光子钙成像的可重复且开放的协议 Neuropixels 电生理学，使这些科学家可以免费获得数据。本提案的资助 将使整个社区能够访问在标准化、 可重复、高通量的条件。该资源对于计算能力特别有吸引力 和理论界使用实验设施的机会有限。我们的项目有潜力 通过实施一个已经取得巨大进展的观测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、成像和质量控制的可变性 动物和实验，并通过降低选择、测试和验证最佳想法的障碍，我们希望 加速神经回路综合观点的进展。

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.