Dopamine transients encode reward prediction errors independent of learning rates

This behavioral and modeling data was used and described in the following paper: Mah, A., Golden C.E.M., Constantinople, C.M. (2023). Dopamine transients encode reward prediction errors independent of learning rates. Cell Reports. The dataset comprises: 1) Behavioral data for the value-based decision making task in rats (Mah_CellReports_BehavorialData.zip) 2) Computational models fit to the rat behavioral data (Mah_CellReports_BehavorialData.zip) 3) Photometry recordings of GRAB_DA (fluorescent dopamine sensor) in the nucleus accumbens recorded from rats performing the task (Mah_CellReports_PhotometryData.zip) All files are Matlab data (.mat) files. The code to analyze this data and generate all figures in Mah et al., 2023 is available here. Data was analyzed using Matlab 2023a with the following additional toolboxes:Curve FitterOptimizationSignal Analyzer Funding: This work was supported by a K99/R00 Pathway to Independence Award (R00MH111926), an Alfred P. Sloan Fellowship, a Klingenstein-Simons Fellowship in Neuroscience, an NIH Director's New Innovator Award (DP2MH126376), an NSF CAREER Award, R01MH125571, and a McKnight Scholars Award to C.M.C. A.M. was supported by 5T90DA043219 and F31MH130121. A.M. and S.S.S. were supported by 5T32MH019524.本行为与建模数据已在以下论文中使用并详述：Mah, A.、Golden C.E.M.、Constantinople, C.M.（2023）。《多巴胺瞬变编码与学习率无关的奖赏预测误差》，《细胞报告》（Cell Reports）。 本数据集包含以下内容： 1. 大鼠价值导向决策任务的行为数据（Mah_CellReports_BehavorialData.zip） 2. 适配大鼠行为数据的计算模型（Mah_CellReports_BehavorialData.zip） 3. 执行该任务的大鼠伏隔核内GRAB_DA（荧光多巴胺传感器）的光纤光度记录数据（Mah_CellReports_PhotometryData.zip） 所有文件均为Matlab数据（.mat）格式文件。用于分析本数据并复现Mah等人2023年论文中所有图表的代码可在此处获取。本数据使用Matlab 2023a及以下附加工具箱进行分析：曲线拟合工具箱（Curve Fitter）、优化工具箱（Optimization）、信号分析工具箱（Signal Analyzer）。 资助说明：本研究由C.M.C.获得的以下项目资助：K99/R00独立职业发展奖（R00MH111926）、阿尔弗雷德·P·斯隆奖学金（Alfred P. Sloan Fellowship）、克林根斯坦-西蒙斯神经科学奖学金（Klingenstein-Simons Fellowship in Neuroscience）、美国国立卫生研究院（NIH）主任创新新奖（DP2MH126376）、美国国家科学基金会（NSF）CAREER奖、R01MH125571以及麦克奈特学者奖（McKnight Scholars Award）。A.M.受5T90DA043219和F31MH130121项目资助。A.M.与S.S.S.受5T32MH019524项目资助。