Real-Time Closed-Loop Feedback System For Mouse Mesoscale Cortical Signal And Movement Control: CLoPy

This dataset includes raw wide-field GCaMP6s image stacks of dorsal cortical activity in mice while they are being trained in 1) A closed-loop neurofeedback task (CLNF) and 2) A closed-loop movement feedback task (CLMF). Data for CLMF experiments are accompanied by synchronized behavior recordings of the whole body of the mouse. Most experiments were performed toward the end of the mouse light cycle(5 PM - 8 PM). CLNF cortical image stacks were collected using Raspberry Pi camera v1 while CLMF cortical image stacks were recorded using a pair of front-to-front video lenses coupled to a CCD camera (Pantera Dalsa). Calcium indicators were excited with blue-light-emitting diodes (470 nm) with bandpass filters (467–499 nm). Emission fluorescence was filtered using a 510–550 nm bandpass filter. The recorded behavior scene was illuminated with infrared light. This is the data repository for titled publication "Real-Time Closed-Loop Feedback System For Mouse Mesoscale Cortical Signal And Movement Control: CLoPy".

本数据集收录了小鼠在以下两种训练任务中的背侧皮层活动原始宽场GCaMP6s图像堆栈：1) 闭环神经反馈任务（CLNF）和2) 闭环运动反馈任务（CLMF）。CLMF实验数据附带小鼠全身同步行为记录。大部分实验在光周期接近尾声时（下午5点至8点）进行。CLNF皮层图像堆栈采用Raspberry Pi相机v1采集，而CLMF皮层图像堆栈则由一对前后对准的视频镜头与CCD相机（Pantera Dalsa）配合记录。钙指示剂经蓝光发光二极管（470 nm）激发，并使用带通滤波器（467–499 nm）过滤。发射荧光通过510–550 nm带通滤波器进行过滤。记录的行为场景使用红外光照明。本数据集是题为《实时闭环反馈系统：用于小鼠中尺度皮层信号与运动控制的CLoPy》的出版物数据存储库。