MATLAB Scripts to Simulate the Optimally Designed Stimuli Generation for Excitatory-Inhibitory Neural Network

This dataset has the necessary MATLAB codes to simulate an optimal stimulus design process for an excitatory-inhibitory continuous time recurrent neural network. The main code master.m invokes certain functions which are also available in the published dataset. The obtained stimuli are used in parameter estimation of the network. The related code segments are also available in the master.m file which uses MATLAB fmincon function to maximize the point process likelihood.

本数据集包含用于模拟兴奋抑制型连续时间递归神经网络（continuous time recurrent neural network）最优刺激设计过程所需的MATLAB代码。主脚本master.m会调用若干函数，这些函数同样收录于本已发布的数据集中。所得到的刺激信号可用于该神经网络的参数估计。master.m文件中还包含相关代码段，其通过调用MATLAB的fmincon函数来最大化点过程似然函数。