ARTICLES

*/** equal contribution

  1. Burkitt AN, Gilson M, van Hemmen JL (2007)
    Spike-timing-dependent plasticity for neurons with recurrent connections. Biol Cybern 96: 533-546 doi: 10.1007/s00422-007-0148-2
  2. Gilson M, Burkitt AN, Grayden DB, Thomas DA, van Hemmen JL (2009)
    Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks I: Input selectivity - strengthening correlated input pathways. Biol Cybern 101: 81-102 doi: 10.1007/s00422-009-0319-4
  3. Gilson M, Burkitt AN, Grayden DB, Thomas DA, van Hemmen JL (2009)
    Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks II: Input selectivity - symmetry breaking. Biol Cybern 101: 103-114 doi: 10.1007/s00422-009-0320-y
  4. Gilson M, Burkitt AN, Grayden DB, Thomas DA, van Hemmen JL (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 101: 411-426 doi: 10.1007/s00422-009-0343-4
  5. Gilson M, Burkitt AN, Grayden DB, Thomas DA, van Hemmen JL (2009)
    Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks IV: Structuring synaptic pathways among recurrent connections. Biol Cybern 101: 427-444 doi: 10.1007/s00422-009-0346-1
  6. Gilson M, Burkitt AN, Grayden DB, Thomas DA, van Hemmen JL (2010)
    Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks V: self-organization schemes and weight dependence. Biol Cybern 103: 365-386 doi: 10.1103/PhysRevE.82.021912
  7. Gilson M, Burkitt AN, Grayden DB, Thomas DA, van Hemmen JL (2010)
    Representation of input structure in synaptic weights by spike-timing-dependent plasticity. Phys Rev E 82: 021912 doi:
  8. Gilson M, Burkitt AN, van Hemmen JL (2010)
    STDP in recurrent neuronal networks. Front Comput Neurosci 4: 23 doi: 10.3389/fncom.2010.00023
  9. Gilson M, Fukai T (2011)
    Stability versus Neuronal Specialization for STDP: Long-Tail Weight Distributions Solve the Dilemma. PLoS ONE 6: e25339 doi: 10.1371/journal.pone.0025339
  10. Gilson M*, Masquelier T*, Hugues E (2011)
    STDP allows fast rate-modulated coding with Poisson-like spike trains. PLoS Comput Biol 7: e1002231 doi: 10.1371/journal.pcbi.1002231
  11. Gilson M*, Bürck M*, Burkitt AN, van Hemmen JL (2012)
    Frequency Selectivity Emerging from Spike-Timing-Dependent Plasticity. Neural Comput 24: 2251-2279 doi: 10.1162/NECO_a_00331
  12. Gilson M, Fukai T, Burkitt AN (2012)
    Spectral Analysis of Input Spike Trains by Spike-Timing-Dependent Plasticity. PLoS Comput Biol 8: e1002584 doi: 10.1371/journal.pcbi.1002584
  13. Kerr RR, Burkitt AN, Thomas DA, Gilson M, Grayden DB (2013)
    Delay Selection by Spike-Timing-Dependent Plasticity in Recurrent Networks of Spiking Neurons Receiving Oscillatory Inputs. PLoS Comput Biol 9: e1002897 doi: 10.1371/journal.pcbi.1002897
  14. Vogels TP, Froemke RC, Doyon N, Gilson M, Haas JS, Liu R, Maffei A, Miller P, Wierenga CJ, Woodin MA, Zenke F, Sprekeler H (2013)
    Inhibitory synaptic plasticity: spike timing-dependence and putative network function. Front Neural Circuits 7: 119 doi: 10.3389/fncir.2013.00119
  15. Kerr RR, Grayden DB, Thomas DA, Gilson M, Burkitt AN (2014)
    Coexistence of reward and unsupervised learning during the operant conditioning of neural firing rates. PLoS ONE 9: e87123 doi: 10.1371/journal.pone.0087123
  16. Kerr RR, Grayden DB, Thomas DA, Gilson M, Burkitt AN (2014)
    Goal-directed control with cortical units that are gated by both top-down feedback and oscillatory coherence. Front Neural Circuits 8: 94 doi: 10.3389/fncir.2014.00094
  17. Kleberg FI, Fukai T, Gilson M (2014)
    Excitatory and inhibitory STDP jointly tune feedforward neural circuits to selectively propagate correlated spiking activity. Front Comput Neurosci 8: 53 doi: 10.3389/fncom.2014.00053
  18. Borovkov K, Decrouez G, Gilson M (2014)
    On stationary distributions of stochastic neural networks. J Appl Probab 51: 837-857 doi: 10.1239/jap/1409932677
  19. Yger P, Gilson M (2015)
    Models of metaplasticity: a review of concepts. Front Comput Neurosci 9: 138 doi: 10.3389/fncom.2015.00138
  20. Gilson M, Moreno-Bote R, Ponce-Alvarez A, Ritter P, Deco G (2016)
    Estimation of directed Effective Connectivity from fMRI Functional Connectivity Hints at Asymmetries of Cortical Connectome. PLoS Comput Biol 12: e1004762 doi: 10.1371/journal.pcbi.1004762
  21. Gilson M*, Tauste Campo A*, Chen X, Thiele A, Deco G (in press)
    Non-parametric test for connectivity detection in multivariate autoregressive networks and application to multiunit activity data. Network Neurosci doi: 10.1162/NETN_a_00019
  22. Gilson M, Deco G, Friston K, Hagmann P, Mantini D, Betti V, Romani GL, Corbetta M (in press)
    Effective connectivity inferred from fMRI transition dynamics during movie viewing points to a balanced reconfiguration of cortical interactions. Neuroimage doi: 10.1016/j.neuroimage.2017.09.061
  23. Glomb K, Ponce-Alvarez A, Gilson M, Ritter P, Deco G (2017)
    Resting state networks in empirical and simulated dynamic functional connectivity. Neuroimage 159: 388-402 doi: 10.1016/j.neuroimage.2017.07.065
  24. Rolls ET*, Cheng W*, Gilson M*, Qiu J*, Hu Z*, Ruan H, Li Y, Huang C-C, Yang AC, Tsai S-J, Zhang X, Zhuang K, Lin C-P, Deco G, Xie P, Feng J (2017)
    Effective connectivity in depression. Biol Psychiatry CNNI doi: 10.1016/j.bpsc.2017.10.004
  25. Gilson M (in press)
    Analysis of fMRI data using noise-diffusion network models: a new covariance-coding perspective. Biol Cybern online first; biorxiv preprint
  26. Senden M*, Reuter N*, van den Heuvel M, Goebel R, Deco G, Gilson M (in press)
    Task-related effective connectivity reveals that the cortical rich club gates cortex-wide communication. Hum Brain Mapp doi: 10.1002/hbm.23913; biorxiv preprint
  27. Glomb K, Ponce-Alvarez A, Gilson M, Ritter P, Deco G (in press)
    Stereotypical modulations in dynamic functional connectivity explained by changes in BOLD variance. Neuroimage doi: 10.1016/j.neuroimage.2017.12.074
  28. Gravel N, Renken RJ, Harvey BM, Deco G, Cornelissen FW, Gilson M (submitted)
    Propagation of BOLD activity reveals directed interactions across human visual cortex. biorxiv preprint
  29. Pallarés V*, Insabato A*, Sanjuán A, Kühn S, Mantini D, Deco G**, Gilson M** (submitted)
    Subject- and behavior-specific signatures extracted from fMRI data using whole-brain effective connectivity. biorxiv preprint
  30. Gilson M, Kouvaris NE, Deco G, Zamora-López G (accepted)
    Novel framework to analyze complex network dynamics. Phys Rev E arxiv preprint