A new inference approach for training shallow and deep generalized linear models of noisy interacting neurons

Gabriel Mahuas, Giulio Isacchini, Olivier Marre +2

Generalized linear models are one of the most efficient paradigms for predicting the correlated stochastic activity of neuronal networks in response to external stimuli, with appli…