RIKEN Brain Science Institute, Wako-shi, Saitama, 351-0198, Japan.
Nat Commun. 2017 Oct 30;8(1):1196. doi: 10.1038/s41467-017-01371-0.
Recording neural activity during animal behavior is a cornerstone of modern brain research. However, integration of cutting-edge technologies for neural circuit analysis with complex behavioral measurements poses a severe experimental bottleneck for researchers. Critical problems include a lack of standardization for psychometric and neurometric integration, and lack of tools that can generate large, sharable data sets for the research community in a time and cost effective way. Here, we introduce a novel mouse behavioral learning platform featuring voluntary head fixation and automated high-throughput data collection for integrating complex behavioral assays with virtually any physiological device. We provide experimental validation by demonstrating behavioral training of mice in visual discrimination and auditory detection tasks. To examine facile integration with physiology systems, we coupled the platform to a two-photon microscope for imaging of cortical networks at single-cell resolution. Our behavioral learning and recording platform is a prototype for the next generation of mouse cognitive studies.
在动物行为期间记录神经活动是现代脑研究的基石。然而,将用于神经回路分析的尖端技术与复杂的行为测量相结合,给研究人员带来了严重的实验瓶颈。关键问题包括心理计量学和神经计量学整合缺乏标准化,以及缺乏能够以高效、经济的方式为研究界生成大型可共享数据集的工具。在这里,我们介绍了一种新颖的小鼠行为学习平台,其特点是自愿头部固定和自动高通量数据收集,可将复杂的行为测定与几乎任何生理设备相结合。我们通过演示小鼠在视觉辨别和听觉检测任务中的行为训练来提供实验验证。为了检查与生理系统的方便集成,我们将平台与双光子显微镜耦合,以实现单细胞分辨率的皮质网络成像。我们的行为学习和记录平台是下一代小鼠认知研究的原型。