nsl-uw/IBL_73918ae1-e4fd-4c18-b132-00cb555b1ad2_aligned

该数据集包含了多个与神经信号处理相关的特征，如稀疏编码的尖峰数据、选择、区块、奖励等。还包括了实验的相关信息，如实验ID、实验室信息、实验对象、采样频率等。此外，数据集还包含了关于神经元集群的信息，如集群区域、通道、深度等。数据集被分为训练集、验证集和测试集，可用于机器学习和数据分析任务。

The dataset contains multiple features related to neural signal processing, such as sparse-encoded spike data, choice, block, reward, etc. It also includes experimental information such as experiment ID, lab information, subject, sampling frequency, etc. In addition, the dataset provides information about neural clusters, including cluster regions, channels, depths, etc. The dataset is split into training, validation, and test sets, suitable for machine learning and data analysis tasks.