nsl-uw/IBL_61e11a11-ab65-48fb-ae08-3cb80662e5d6_aligned

该数据集是一个包含多个神经生理学特征的时间序列数据集，用于记录和分析神经元活动。它包含了稀疏编码的尖峰数据、选择行为、奖励信号、区块标识、胡须运动能量等信息。数据集还提供了关于簇（cluster）的详细质量控制信息，如振幅、簇的深度、标签、位置坐标等。数据集分为训练集、验证集和测试集，以便于模型的训练和评估。

This dataset is a time-series dataset containing multiple neurophysiological features for recording and analyzing neuronal activity. It includes sparse coded spike data, choice behavior, reward signals, block identifiers, whisker motion energy, and detailed quality control information about clusters such as amplitude, cluster depth, label, positional coordinates, etc. The dataset is divided into training, validation, and test sets for model training and evaluation.