nsl-uw/IBL_5dcee0eb-b34d-4652-acc3-d10afc6eae68_aligned

该数据集包含了多个与神经信号处理相关的特征，如稀疏数据、索引、指针、形状、选择信号、奖励信号、区块信息、胡须运动能量等。此外，还包括了采样频率、簇区域、簇通道、簇深度、良好簇、簇UUID、簇质量控制等信息。数据集分为训练集、验证集和测试集，适用于机器学习和数据分析任务。

This dataset includes multiple features related to neural signal processing, such as sparse data, indices, pointers, shapes, choice signals, reward signals, block information, whisker-motion energy, etc. Additionally, it contains information on sampling frequency, cluster regions, cluster channels, cluster depths, good clusters, cluster UUIDs, and cluster quality control. The dataset is divided into training, validation, and test sets, suitable for machine learning and data analysis tasks.