nsl-uw/IBL_d2832a38-27f6-452d-91d6-af72d794136c_aligned

该数据集包含了与神经元活动相关的时间序列数据，具体包括稀疏编码的尖峰数据、索引、指针、形状、选择、奖励、块、胡须运动能量等信息。此外，还包含了数据采样频率、集群区域、通道、深度、质量控制系统等信息。数据集分为训练集、验证集和测试集，分别用于不同的训练和评估阶段。

This dataset contains time-series data related to neural activity, including sparse-encoded spike data, indices, pointers, shapes, choices, rewards, blocks, whisker-motion energy, and more. Additionally, it includes information on sampling frequency, cluster regions, channels, depths, quality control systems, etc. The dataset is split into training, validation, and test sets for different stages of training and evaluation.