3 papers
cond-mat.dis-nn2019
Capacity of the covariance perceptron
David Dahmen, Matthieu Gilson, Moritz Helias
The classical perceptron is a simple neural network that performs a binary classification by a linear mapping between static inputs and outputs and application of a threshold. For…
q-bio.NC2018
Propagation of spiking moments in linear Hawkes networks
Matthieu Gilson, Jean-Pascal Pfister
The present paper provides exact mathematical expressions for the high-order moments of spiking activity in a recurrently-connected network of linear Hawkes processes. It extends p…
stat.ML2018
Bayesian estimation for large scale multivariate Ornstein-Uhlenbeck model of brain connectivity
Andrea Insabato, John P. Cunningham, Matthieu Gilson
Estimation of reliable whole-brain connectivity is a crucial step towards the use of connectivity information in quantitative approaches to the study of neuropsychiatric disorders.…