101 citations · 106 across the 3 of their papers we have counts for
3 papers
Characterizing variability in nonlinear recurrent neuronal networks
Guillaume Hennequin, Máté Lengyel
In this note, we develop semi-analytical techniques to obtain the full correlational structure of a stochastic network of nonlinear neurons described by rate variables. Under the a…
Fast sampling for Bayesian inference in neural circuits
Guillaume Hennequin, Laurence Aitchison, Máté Lengyel
Time is at a premium for recurrent network dynamics, and particularly so when they are stochastic and correlated: the quality of inference from such dynamics fundamentally depends…
Nonnormal amplification in random balanced neuronal networks
Guillaume Hennequin, Tim P. Vogels, Wulfram Gerstner
In dynamical models of cortical networks, the recurrent connectivity can amplify the input given to the network in two distinct ways. One is induced by the presence of near-critica…