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

项目摘要 在过去的五年里，艾伦研究所已经建立了两个独特的内部管道，用于体内电子和 光学生理学：它们共同组成了艾伦大脑观测站。我们利用这个天文台， 公开分享来自221只跑步小鼠观察标准视觉刺激的约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10万个细胞的Neuropixels电生理记录 在相同的条件下，全部配准到共同的解剖坐标系（CCF v3）。我们希望 向社区开放大脑观测管道，使理论，计算和实验 科学家们将在一个类似于天文学的过程中测试关于大脑功能的复杂假设， 观测夜空的天文台。我们的观测站，叫做OpenScope，每年接受一次， 来自外部科学家的实验建议，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验证， 用于体内单区域和多区域双光子钙成像的可重复和开放的协议， 神经像素电生理学，使数据免费提供给这些科学家。本提案的供资 将为整个社区提供一个现代化的实验平台， 可重复的和高通量的条件。这种资源将特别吸引计算 和理论界，他们的实验设施有限。我们的项目有可能 通过实施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、成像和质量控制的差异， 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.