Code illustrating the two-step inference approach for the Generalized Linear Models detailed in the following paper : G. Mahuas, G. Isacchini, O. Marre, U. Ferrari and T. Mora. A new inference approach for training shallow and deep generalized linear models of noisy interacting neurons. Accepted for spotlight presentation at NeurIPS2020.
A matlab example code is provided in the example.m file
Please note that a Python version of this code is available in the "main-python" branch of this repository.