nsl-uw/IBL_b22f694e-4a34-4142-ab9d-2556c3487086_aligned

这个数据集是一个包含多个心理生理学指标和实验标识信息的序列数据集。具体特征包括：神经尖峰的稀疏数据、索引、指示器和形状，以及选择、区块、奖励、对比度、轮速、触须运动能量等指标。数据集还包含了实验ID、实验室信息、实验对象、采样频率、簇区域、簇通道、簇深度、有效簇和簇唯一标识符等信息。数据集分为训练集、验证集和测试集三个部分，可用于机器学习模型的训练和评估。

This dataset is a sequential dataset containing multiple psychophysiological indicators and experimental identification information. Specific features include: sparse data, indices, indicators, and shapes of neural spikes, as well as indicators such as choice, block, reward, contrast, wheel speed, whisker motion energy, etc. The dataset also includes information such as experiment ID, lab information, subject, sampling frequency, cluster regions, cluster channels, cluster depths, good clusters, and cluster UUIDs. The dataset is divided into three parts: training set, validation set, and test set, which can be used for training and evaluation of machine learning models.