nsl-uw/IBL_d57df551-6dcb-4242-9c72-b806cff5613a_aligned

该数据集包含与神经活动相关的多维度特征，如稀疏表示的 spikes 数据、选择和奖励信号、块信息、胡须运动能量等。还包括了簇相关的信息，如簇的质量控制参数、簇的通道和深度信息。数据集被划分为训练集、验证集和测试集，以便进行机器学习模型的训练和评估。

This dataset comprises multi-dimensional features related to neural activity, such as sparse-represented spikes data, choice and reward signals, block information, whisker-motion energy, etc. It also includes cluster-related information like quality control parameters of clusters, cluster channels, and depths. The dataset is split into training, validation, and test sets for machine learning model training and evaluation.