nsl-uw/IBL_b196a2ad-511b-4e90-ac99-b5a29ad25c22_aligned

这是一个包含多个生物电信号特征的序列数据集，用于神经科学研究。数据集中的特征包括稀疏脉冲数据、脉冲索引、指针、形状、选择、块、奖励、对比度、轮速、胡须运动能量等。数据集分为训练集、验证集和测试集，适用于模型训练和评估。

This is a sequence dataset containing multiple features of bioelectric signals for neuroscience research. The features include sparse spike data, spike indices, pointers, shapes, choices, blocks, rewards, contrasts, wheel speed, whisker motion energy, etc. The dataset is divided into training, validation, and test sets, suitable for model training and evaluation.