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Matthieu Gilson
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2020 – today
- 2023
- [i4]Sandra Nestler, Moritz Helias, Matthieu Gilson:
Neuronal architecture extracts statistical temporal patterns. CoRR abs/2301.10203 (2023) - 2020
- [j26]Matthieu Gilson, David Dahmen, Rubén Moreno-Bote, Andrea Insabato, Moritz Helias:
The covariance perceptron: A new paradigm for classification and processing of time series in recurrent neuronal networks. PLoS Comput. Biol. 16(10) (2020) - [j25]Matthieu Gilson, Jean-Pascal Pfister:
Propagation of Spiking Moments in Linear Hawkes Networks. SIAM J. Appl. Dyn. Syst. 19(2): 828-859 (2020) - [c2]Sandra Nestler, Christian Keup, David Dahmen, Matthieu Gilson, Holger Rauhut, Moritz Helias:
Unfolding recurrence by Green's functions for optimized reservoir computing. NeurIPS 2020
2010 – 2019
- 2019
- [j24]Murat Demirtas, Adrián Ponce-Alvarez, Matthieu Gilson, Patric Hagmann, Dante Mantini, Viviana Betti, Gian Luca Romani, Karl J. Friston, Maurizio Corbetta, Gustavo Deco:
Distinct modes of functional connectivity induced by movie-watching. NeuroImage 184: 335-348 (2019) - [j23]Matthieu Gilson, Nikos E. Kouvaris, Gustavo Deco, Jean-François Mangin, Cyril Poupon, Sandrine Lefranc, Denis Rivière, Gorka Zamora-López:
Network analysis of whole-brain fMRI dynamics: A new framework based on dynamic communicability. NeuroImage 201 (2019) - [i3]David Dahmen, Matthieu Gilson, Moritz Helias:
Capacity of the covariance perceptron. CoRR abs/1912.00824 (2019) - 2018
- [j22]Matthieu Gilson:
Analysis of fMRI data using noise-diffusion network models: a new covariance-coding perspective. Biol. Cybern. 112(1-2): 153-161 (2018) - [j21]Katharina Glomb, Adrián Ponce-Alvarez, Matthieu Gilson, Petra Ritter, Gustavo Deco:
Stereotypical modulations in dynamic functional connectivity explained by changes in BOLD variance. NeuroImage 171: 40-54 (2018) - [j20]Vicente Pallarés, Andrea Insabato, Ana Sanjuán, Simone Kühn, Dante Mantini, Gustavo Deco, Matthieu Gilson:
Extracting orthogonal subject- and condition-specific signatures from fMRI data using whole-brain effective connectivity. NeuroImage 178: 238-254 (2018) - [j19]Matthieu Gilson, Gustavo Deco, Karl J. Friston, Patric Hagmann, Dante Mantini, Viviana Betti, Gian Luca Romani, Maurizio Corbetta:
Effective connectivity inferred from fMRI transition dynamics during movie viewing points to a balanced reconfiguration of cortical interactions. NeuroImage 180(Part): 534-546 (2018) - [i2]Andrea Insabato, John P. Cunningham, Matthieu Gilson:
Bayesian estimation for large scale multivariate Ornstein-Uhlenbeck model of brain connectivity. CoRR abs/1805.10050 (2018) - [i1]Matthieu Gilson, Jean-Pascal Pfister:
Propagation of moments in Hawkes networks. CoRR abs/1810.09520 (2018) - 2017
- [j18]Katharina Glomb, Adrián Ponce-Alvarez, Matthieu Gilson, Petra Ritter, Gustavo Deco:
Resting state networks in empirical and simulated dynamic functional connectivity. NeuroImage 159: 388-402 (2017) - 2016
- [j17]Pierre Yger, Matthieu Gilson:
Addendum: Models of Metaplasticity: A Review of Concepts. Frontiers Comput. Neurosci. 10: 4 (2016) - [j16]Matthieu Gilson, Rubén Moreno-Bote, Adrián Ponce-Alvarez, Petra Ritter, Gustavo Deco:
Estimation of Directed Effective Connectivity from fMRI Functional Connectivity Hints at Asymmetries of Cortical Connectome. PLoS Comput. Biol. 12(3) (2016) - 2015
- [j15]Pierre Yger, Matthieu Gilson:
Models of Metaplasticity: A Review of Concepts. Frontiers Comput. Neurosci. 9: 138 (2015) - [j14]Matthieu Gilson, Cristina Savin, Friedemann Zenke:
Editorial: Emergent Neural Computation from the Interaction of Different Forms of Plasticity. Frontiers Comput. Neurosci. 9: 145 (2015) - 2014
- [j13]Florence I. Kleberg, Tomoki Fukai, Matthieu Gilson:
Excitatory and inhibitory STDP jointly tune feedforward neural circuits to selectively propagate correlated spiking activity. Frontiers Comput. Neurosci. 8: 53 (2014) - [j12]Konstantin Borovkov, Geoffrey Decrouez, Matthieu Gilson:
On Stationary Distributions of Stochastic Neural Networks. J. Appl. Probab. 51(3): 837-857 (2014) - 2013
- [j11]Robert R. Kerr, Anthony N. Burkitt, Doreen A. Thomas, Matthieu Gilson, David B. Grayden:
Delay Selection by Spike-Timing-Dependent Plasticity in Recurrent Networks of Spiking Neurons Receiving Oscillatory Inputs. PLoS Comput. Biol. 9(2) (2013) - 2012
- [j10]Matthieu Gilson, Moritz Bürck, Anthony N. Burkitt, J. Leo van Hemmen:
Frequency Selectivity Emerging from Spike-Timing-Dependent Plasticity. Neural Comput. 24(9): 2251-2279 (2012) - [j9]Matthieu Gilson, Tomoki Fukai, Anthony N. Burkitt:
Spectral Analysis of Input Spike Trains by Spike-Timing-Dependent Plasticity. PLoS Comput. Biol. 8(7) (2012) - 2011
- [j8]Matthieu Gilson, Timothée Masquelier, Etienne Hugues:
STDP Allows Fast Rate-Modulated Coding with Poisson-Like Spike Trains. PLoS Comput. Biol. 7(10) (2011) - 2010
- [j7]Matthieu Gilson, Anthony N. Burkitt, David B. Grayden, Doreen A. Thomas, J. Leo van Hemmen:
Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks V: self-organization schemes and weight dependence. Biol. Cybern. 103(5): 365-386 (2010) - [j6]Matthieu Gilson, Anthony N. Burkitt, J. Leo van Hemmen:
STDP in Recurrent Neuronal Networks. Frontiers Comput. Neurosci. 4: 23 (2010)
2000 – 2009
- 2009
- [j5]Matthieu Gilson, Anthony N. Burkitt, David B. Grayden, Doreen A. Thomas, J. Leo van Hemmen:
Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks. I. Input selectivity-strengthening correlated input pathways. Biol. Cybern. 101(2): 81-102 (2009) - [j4]Matthieu Gilson, Anthony N. Burkitt, David B. Grayden, Doreen A. Thomas, J. Leo van Hemmen:
Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks. II. Input selectivity - symmetry breaking. Biol. Cybern. 101(2): 103-114 (2009) - [j3]Matthieu Gilson, Anthony N. Burkitt, David B. Grayden, Doreen A. Thomas, J. Leo van Hemmen:
Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks III: Partially connected neurons driven by spontaneous activity. Biol. Cybern. 101(5-6): 411-426 (2009) - [j2]Matthieu Gilson, Anthony N. Burkitt, David B. Grayden, Doreen A. Thomas, J. Leo van Hemmen:
Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks IV. Biol. Cybern. 101(5-6): 427-444 (2009) - 2007
- [j1]Anthony N. Burkitt, Matthieu Gilson, J. Leo van Hemmen:
Spike-timing-dependent plasticity for neurons with recurrent connections. Biol. Cybern. 96(5): 533-546 (2007) - [c1]Matthieu Gilson, David B. Grayden, J. Leo van Hemmen, Doreen A. Thomas, Anthony N. Burkitt:
Spike-Timing Dependent Plasticity in Recurrently Connected Networks with Fixed External Inputs. ICONIP (1) 2007: 102-111
Coauthor Index
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