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

Published: 3 December 2018| Version 1 | DOI: 10.17632/8y5cnf3mkp.1
Ozgur R Doruk


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.



Computational Neuroscience, Biostatistics, Modelling, Poisson Distribution