nsl-uw/IBL_30c4e2ab-dffc-499d-aae4-e51d6b3218c2_aligned

这是一个关于神经信号和行为数据的集合，包含稀疏表示的神经信号数据、行为数据（如选择、奖励等），以及实验相关的元数据（如实验对象、实验室信息等）。数据集分为训练集、验证集和测试集，可用于训练机器学习模型并进行模型评估。

This is a collection of neural signals and behavioral data, including sparsely represented neural signal data, behavioral data (such as choice, reward, etc.), and metadata related to the experiment (such as subject, lab information, etc.). The dataset is divided into training set, validation set, and test set, which can be used for training machine learning models and model evaluation.