Spike-Timing Dependent Plasticity in Recurrently Connected Networks with Fixed External Inputs. - Matthieu Gilson; David B. Grayden; J. Leo van Hemmen; Doreen A. Thomas; Anthony N. Burkitt (ICONIP (1), 2007)

Spike-timing-dependent plasticity for neurons with recurrent connections. - Anthony N. Burkitt; Matthieu Gilson; J. Leo van Hemmen (Biol. Cybern., 2007)

Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks. I. Input selectivity-strengthening correlated input pathways. - Matthieu Gilson; Anthony N. Burkitt; David B. Grayden; Doreen A. Thomas; J. Leo van Hemmen (Biol. Cybern., 2009)

Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks. II. Input selectivity - symmetry breaking. - Matthieu Gilson; Anthony N. Burkitt; David B. Grayden; Doreen A. Thomas; J. Leo van Hemmen (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. - Matthieu Gilson; Anthony N. Burkitt; David B. Grayden; Doreen A. Thomas; J. Leo van Hemmen (Biol. Cybern., 2009)

Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks IV. - Matthieu Gilson; Anthony N. Burkitt; David B. Grayden; Doreen A. Thomas; J. Leo van Hemmen (Biol. Cybern., 2009)

Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks V: self-organization schemes and weight dependence. - Matthieu Gilson; Anthony N. Burkitt; David B. Grayden; Doreen A. Thomas; J. Leo van Hemmen (Biol. Cybern., 2010)

STDP in Recurrent Neuronal Networks. - Matthieu Gilson; Anthony N. Burkitt; J. Leo van Hemmen (Frontiers Comput. Neurosci., 2010)

STDP Allows Fast Rate-Modulated Coding with Poisson-Like Spike Trains. - Matthieu Gilson; Timothée Masquelier; Etienne Hugues (PLoS Comput. Biol., 2011)

Frequency Selectivity Emerging from Spike-Timing-Dependent Plasticity. - Matthieu Gilson; Moritz Bürck; Anthony N. Burkitt; J. Leo van Hemmen (Neural Comput., 2012)

Spectral Analysis of Input Spike Trains by Spike-Timing-Dependent Plasticity. - Matthieu Gilson; Tomoki Fukai; Anthony N. Burkitt (PLoS Comput. Biol., 2012)

Delay Selection by Spike-Timing-Dependent Plasticity in Recurrent Networks of Spiking Neurons Receiving Oscillatory Inputs. - Robert R. Kerr; Anthony N. Burkitt; Doreen A. Thomas; Matthieu Gilson; David B. Grayden (PLoS Comput. Biol., 2013)

Excitatory and inhibitory STDP jointly tune feedforward neural circuits to selectively propagate correlated spiking activity. - Florence I. Kleberg; Tomoki Fukai; Matthieu Gilson (Frontiers Comput. Neurosci., 2014)

On Stationary Distributions of Stochastic Neural Networks. - Konstantin Borovkov; Geoffrey Decrouez; Matthieu Gilson (J. Appl. Probab., 2014)

Editorial: Emergent Neural Computation from the Interaction of Different Forms of Plasticity. - Matthieu Gilson; Cristina Savin; Friedemann Zenke (Frontiers Comput. Neurosci., 2015)

Models of Metaplasticity: A Review of Concepts. - Pierre Yger; Matthieu Gilson (Frontiers Comput. Neurosci., 2015)

Addendum: Models of Metaplasticity: A Review of Concepts. - Pierre Yger; Matthieu Gilson (Frontiers Comput. Neurosci., 2016)

Estimation of Directed Effective Connectivity from fMRI Functional Connectivity Hints at Asymmetries of Cortical Connectome. - Matthieu Gilson; Rubén Moreno-Bote; Adrián Ponce-Alvarez; Petra Ritter; Gustavo Deco (PLoS Comput. Biol., 2016)

Resting state networks in empirical and simulated dynamic functional connectivity. - Katharina Glomb; Adrián Ponce-Alvarez; Matthieu Gilson; Petra Ritter; Gustavo Deco (NeuroImage, 2017)

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

Bayesian estimation for large scale multivariate Ornstein-Uhlenbeck model of brain connectivity. - Andrea Insabato; John P. Cunningham; Matthieu Gilson (CoRR, 2018)

Propagation of moments in Hawkes networks. - Matthieu Gilson; Jean-Pascal Pfister (CoRR, 2018)

Effective connectivity inferred from fMRI transition dynamics during movie viewing points to a balanced reconfiguration of cortical interactions. - Matthieu Gilson; Gustavo Deco; Karl J. Friston; Patric Hagmann; Dante Mantini; Viviana Betti; Gian Luca Romani; Maurizio Corbetta (NeuroImage, 2018)

Stereotypical modulations in dynamic functional connectivity explained by changes in BOLD variance. - Katharina Glomb; Adrián Ponce-Alvarez; Matthieu Gilson; Petra Ritter; Gustavo Deco (NeuroImage, 2018)

Extracting orthogonal subject- and condition-specific signatures from fMRI data using whole-brain effective connectivity. - Vicente Pallarés; Andrea Insabato; Ana Sanjuán; Simone Kühn; Dante Mantini; Gustavo Deco; Matthieu Gilson (NeuroImage, 2018)

Capacity of the covariance perceptron. - David Dahmen; Matthieu Gilson; Moritz Helias (CoRR, 2019)

Distinct modes of functional connectivity induced by movie-watching. - Murat Demirtas; Adrián Ponce-Alvarez; Matthieu Gilson; Patric Hagmann; Dante Mantini; Viviana Betti; Gian Luca Romani; Karl J. Friston; Maurizio Corbetta; Gustavo Deco (NeuroImage, 2019)

Network analysis of whole-brain fMRI dynamics: A new framework based on dynamic communicability. - Matthieu Gilson; Nikos E. Kouvaris; Gustavo Deco; Jean-François Mangin; Cyril Poupon; Sandrine Lefranc; Denis Rivière; Gorka Zamora-López (NeuroImage, 2019)

Unfolding recurrence by Green's functions for optimized reservoir computing. - Sandra Nestler; Christian Keup; David Dahmen; Matthieu Gilson; Holger Rauhut; Moritz Helias (NeurIPS, 2020)

The covariance perceptron: A new paradigm for classification and processing of time series in recurrent neuronal networks. - Matthieu Gilson; David Dahmen; Rubén Moreno-Bote; Andrea Insabato; Moritz Helias (PLoS Comput. Biol., 2020)

Propagation of Spiking Moments in Linear Hawkes Networks. - Matthieu Gilson; Jean-Pascal Pfister (SIAM J. Appl. Dyn. Syst., 2020)

Neuronal architecture extracts statistical temporal patterns. - Sandra Nestler; Moritz Helias; Matthieu Gilson (CoRR, 2023)

Evaluating machine learning pipelines for multimodal neuroimaging in small cohorts: an ALS case study. - Shailesh Appukuttan; Aude-Marie Grapperon; Mounir Mohamed El Mendili; Hugo Dary; Maxime Guye; Annie Verschueren; Jean-Philippe Ranjeva; Shahram Attarian; Wafaa Zaaraoui; Matthieu Gilson (Frontiers Neuroinformatics, 2025)