activity
20202026
most citedA small-correlation expansion to quantify information in noisy sensory systems

1 citations · 2 across the 6 of their papers we have counts for

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cond-mat.dis-nn2020

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…