nsl-uw/IBL_03d9a098-07bf-4765-88b7-85f8d8f620cc_aligned
收藏数据链接：
官方服务：
资源简介：
该数据集包含了多个与神经信号处理相关的特征，如稀疏数据、索引、指针、形状、选择、奖励、块、胡须运动能量、箱大小、时间间隔长度、事件ID、采样频率、簇区域、簇通道、簇深度、良好簇、簇UUID、簇质量控制信息等。数据集分为训练集、验证集和测试集，适用于神经科学和机器学习研究。
The dataset contains multiple features related to neural signal processing, such as sparse data, indices, pointers, shapes, choices, rewards, blocks, whisker-motion energy, bin size, interval length, event ID, sampling frequency, cluster regions, cluster channels, cluster depths, good clusters, cluster UUIDs, and cluster quality control information. The dataset is split into training, validation, and test sets, suitable for neuroscience and machine learning research.
提供机构：
nsl-uw
