Quadratic Integrate-and-Fire Neuron Network

该数据集包含了一个由N个二次积分点火神经元组成的网络，这些神经元通过由连接矩阵加权、以脉冲激活的突触进行循环连接。此外，数据集中还包含了由训练后的网络生成的突触驱动模式示例，这些模式能够匹配诸如正弦波等目标函数。该网络的规模为N个神经元，任务则是训练循环动态以产生任意的时空活动模式。

This dataset contains a network composed of N quadratic integrate-and-fire neurons, which are recurrently connected via spike-activated synapses weighted by a connection matrix. Additionally, the dataset includes example synaptic drive patterns generated by the trained network, which can match target functions such as sine waves. The task for this network is to train its recurrent dynamics to generate arbitrary spatiotemporal activity patterns.