Acetylcholine demixes heterogeneous dopamine signals for learning and moving - dataset 6

These data are used and described in the following paper: Jang H.J., Ward R.M., Golden C.E.M., Constantinople C.M. (2025). Acetylcholine demixes heterogeneous dopamine signals for learning and moving. Nature Neuroscience. The data set comprises: 1) Photometry recordings from the nucleus accumbens core in rats. Make a folder named data-published/PhotometryData/GRAB_DA_NAcc and save the files under this folder in order to use visualization scripts provided in the github link below. Raw photometry signals are motion-corrected and pooled across sessions for each rat. Associated behavioral data for each rat are stored in *_bstruct.mat files. Files are Matlab data (.mat) files. The code to analyze this data and generate figures in Jang et al., 2025 is available at {https://github.com/constantinoplelab/published/tree/main/DMS_AChDA}. Data was analyzed using Matlab 2021b.本数据集的使用与相关描述见于以下论文：Jang H.J.、Ward R.M.、Golden C.E.M.、Constantinople C.M.（2025）发表于《自然-神经科学》（*Nature Neuroscience*）的《乙酰胆碱分离异质性多巴胺信号以支持学习与运动》（*Acetylcholine demixes heterogeneous dopamine signals for learning and moving*）。 本数据集包含以下内容： 1） 大鼠伏隔核核心区的光纤光度记录（photometry recordings）。 若需使用下文GitHub链接中提供的可视化脚本，请先创建名为data-published/PhotometryData/GRAB_DA_NAcc的文件夹，并将所有文件保存至该目录下。 原始光纤光度信号已完成运动校正，并按大鼠分会话合并。每只大鼠对应的行为数据均存储于`*_bstruct.mat`格式文件中。 所有文件均为Matlab数据（.mat）格式文件。用于分析本数据集并复现Jang等人2025年论文中图表的代码，可于以下GitHub链接获取：https://github.com/constantinoplelab/published/tree/main/DMS_AChDA。本数据集的分析工作基于Matlab 2021b完成。