Neural Decoding Dataset

该数据集包含了46个神经元在75分钟内的记录，捕捉了它们的活动速率以及相对应的大鼠运动位置。此外，该数据集与监督学习算法如维纳滤波器和维纳级联结合使用，用于解码神经数据。数据集包含了219,089个时间点，转换为28,039个样本，其任务是对大鼠运动位置的神经解码。

This dataset contains recordings from 46 neurons over a 75-minute period, capturing their firing rates and the corresponding rat movement positions. Additionally, this dataset is combined with supervised learning algorithms such as the Wiener filter and Wiener cascade for neural data decoding. It includes 219,089 time points, which are converted into 28,039 samples, with the task focusing on neural decoding of rat movement positions.