nsl-uw/IBL_ebce500b-c530-47de-8cb1-963c552703ea_aligned

该数据集包含了与神经元活动相关的多个特征，如稀疏编码的尖峰数据、选择、区块、奖励、对比度、轮速、胡须运动能量等。此外，还包括了数据采样的相关信息，如采样频率、簇区域、簇通道、簇深度、有效簇以及簇的唯一标识符。数据集分为训练集、验证集和测试集三个部分，可用于机器学习和数据分析任务。

The dataset includes multiple features related to neural activity, such as sparse-coded spike data, choice, block, reward, contrast, wheel speed, whisker motion energy, etc. It also contains information related to data sampling, such as sampling frequency, cluster regions, cluster channels, cluster depths, good clusters, and unique identifiers for clusters. The dataset is divided into three parts: training set, validation set, and test set, which can be used for machine learning and data analysis tasks.