Matthieu Gilson

Orcid: 0000-0002-6726-7207

According to our database1, Matthieu Gilson authored at least 32 papers between 2007 and 2023.

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Bibliography

2023
Neuronal architecture extracts statistical temporal patterns.
CoRR, 2023

2020
Propagation of Spiking Moments in Linear Hawkes Networks.
SIAM J. Appl. Dyn. Syst., 2020

The covariance perceptron: A new paradigm for classification and processing of time series in recurrent neuronal networks.
PLoS Comput. Biol., 2020

Unfolding recurrence by Green's functions for optimized reservoir computing.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
Network analysis of whole-brain fMRI dynamics: A new framework based on dynamic communicability.
NeuroImage, 2019

Distinct modes of functional connectivity induced by movie-watching.
NeuroImage, 2019

Capacity of the covariance perceptron.
CoRR, 2019

2018
Extracting orthogonal subject- and condition-specific signatures from fMRI data using whole-brain effective connectivity.
NeuroImage, 2018

Stereotypical modulations in dynamic functional connectivity explained by changes in BOLD variance.
NeuroImage, 2018

Effective connectivity inferred from fMRI transition dynamics during movie viewing points to a balanced reconfiguration of cortical interactions.
NeuroImage, 2018

Propagation of moments in Hawkes networks.
CoRR, 2018

Bayesian estimation for large scale multivariate Ornstein-Uhlenbeck model of brain connectivity.
CoRR, 2018

Analysis of fMRI data using noise-diffusion network models: a new covariance-coding perspective.
Biol. Cybern., 2018

2017
Resting state networks in empirical and simulated dynamic functional connectivity.
NeuroImage, 2017

2016
Estimation of Directed Effective Connectivity from fMRI Functional Connectivity Hints at Asymmetries of Cortical Connectome.
PLoS Comput. Biol., 2016

Addendum: Models of Metaplasticity: A Review of Concepts.
Frontiers Comput. Neurosci., 2016

2015
Models of Metaplasticity: A Review of Concepts.
Frontiers Comput. Neurosci., 2015

Editorial: Emergent Neural Computation from the Interaction of Different Forms of Plasticity.
Frontiers Comput. Neurosci., 2015

2014
On Stationary Distributions of Stochastic Neural Networks.
J. Appl. Probab., 2014

Excitatory and inhibitory STDP jointly tune feedforward neural circuits to selectively propagate correlated spiking activity.
Frontiers Comput. Neurosci., 2014

2013
Delay Selection by Spike-Timing-Dependent Plasticity in Recurrent Networks of Spiking Neurons Receiving Oscillatory Inputs.
PLoS Comput. Biol., 2013

2012
Spectral Analysis of Input Spike Trains by Spike-Timing-Dependent Plasticity.
PLoS Comput. Biol., 2012

Frequency Selectivity Emerging from Spike-Timing-Dependent Plasticity.
Neural Comput., 2012

2011
STDP Allows Fast Rate-Modulated Coding with Poisson-Like Spike Trains.
PLoS Comput. Biol., 2011

2010
STDP in Recurrent Neuronal Networks.
Frontiers Comput. Neurosci., 2010

Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks V: self-organization schemes and weight dependence.
Biol. Cybern., 2010

2009
Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks IV.
Biol. Cybern., 2009

Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks III: Partially connected neurons driven by spontaneous activity.
Biol. Cybern., 2009

Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks. II. Input selectivity - symmetry breaking.
Biol. Cybern., 2009

Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks. I. Input selectivity-strengthening correlated input pathways.
Biol. Cybern., 2009

2007
Spike-timing-dependent plasticity for neurons with recurrent connections.
Biol. Cybern., 2007

Spike-Timing Dependent Plasticity in Recurrently Connected Networks with Fixed External Inputs.
Proceedings of the Neural Information Processing, 14th International Conference, 2007


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