1. J. F. Mejias and X.-J. Wang, Mechanisms of distributed working memory in a large-scale model of the macaque neocortex, submitted, 2019. (BioRxiv preprint)
  2. G. T. Meijer, P. Marchesi, J. F. Mejias, J. S. Montijn, C. S. Lansink and C. M. A. Pennartz, Higher-order visual cortex shows stronger neural correlates of visual and multisensory detection behavior compared to primary visual cortex, submitted, 2019.
  3. J. Jaramillo, J. F. Mejias and X.-J. Wang, Engagement of pulvino-cortical feedforward and feedback pathways in cognitive computations, Neuron, 101, 321-336, 2019. (BioRxiv preprint)(Journal link)

    Perspective of this work in Neuron.

  4. R. R. Deza, I. Deza, N. Martinez, J. F. Mejias and H. S. Wio, A nonequilibrium-potential approach to competition in neural populations, Frontiers in Physics, 6:154, 2019. (Open access)
  5. M. Joglekar, J. F. Mejias, G. R. Yang, and X.-J. Wang, Inter-areal balanced amplification enhances signal propagation in a large-scale circuit model of the primate cortex, Neuron, 98, 222-234, 2018. (BioRxiv preprint)(Journal link)

    Perspectives of this work in Neuron and Science.

  6. L. C. Garcia del Molino, G. R. Yang, J. F. Mejias and X.-J. Wang, Paradoxical response reversal of top-down modulation in cortical circuits with three interneuron types, eLife, 6:e29742, 2017. (Open access)
  7. A. Melanson, J. F. Mejias, J. J. Jun, L. Maler and A. Longtin, Non-stationary stochastic dynamics underlie spontaneous transitions between active and inactive behavioural states, eNeuro, 4 (2), ENEURO.0355-16.2017, 2017.(Open access)
  8. J. F. Mejias, J. D. Murray, H. Kennedy and X.-J Wang, Feedforward and feedback frequency-dependent interactions in a large-scale laminar network of the primate cortex, Science Advances, 2, e1601335, 2016. (Open access)
  9. J. F. Mejias and A. Longtin, Differential effects of excitatory and inhibitory heterogeneity on the gain and asynchronous state of sparse cortical networks, Frontiers in Comput. Neurosci., 8:107, 2014. (Open access)

    Perspective of this work in Front. Comput. Neurosci.

  10. J. F. Mejias*, A. Payeur*, E. Selin, L. Maler and A. Longtin, Subtractive, divisive, and non-monotonic gain control in feedforward nets linearized by noise and delays, Frontiers in Comput. Neurosci., 8:19, 2014. (Open access)
  11. K. Bol, G. Marsat, J. F. Mejias, E. Harvey-Girard, L. Maler and A. Longtin, Modeling cancelation of periodic inputs with burst-STDP and feedback, Neural Networks, 47, 120-133, 2013. (Author pdf) (Journal link)
  12. J. F. Mejias*, G. Marsat*, K. Bol, L. Maler and A. Longtin, Learning contrast-invariant cancellation of redundant signals in neural systems, PLoS Comput. Biol., 9 (9), e1003180, 2013. (Open access)
  13. J. F. Mejias and A. Longtin, Optimal heterogeneity for coding in spiking neural networks, Phys. Rev. Lett., 108, 228102, 2012. (Author pdf) (Journal link)
  14. J. F. Mejias, B. Hernandez-Gomez and J. J. Torres, Short-term synaptic facilitation improves information retrieval in noisy neural networks, EPL (Europhysics Letters), 97, 48008, 2012. (Author pdf) (Journal link)
  15. J. J. Torres, J. Marro and J. F. Mejias, Can intrinsic noise induce various resonant peaks?, New J. Phys., 13, 053014, 2011. (Open access)
  16. J. F. Mejias and J. J. Torres, Emergence of resonances in neural systems: the interplay between adaptive threshold and short-term synaptic plasticity, PLoS One, 6 (3), e17255, 2011. (Author pdf) (Supplementary text) (Open access)
  17. J. F. Mejias, H. J. Kappen and J. J. Torres, Irregular dynamics in up and down cortical states, PLoS One, 5 (11), e13651, 2010. (Author pdf) (Open access)
  18. J. F. Mejias and J. J. Torres, Maximum memory capacity on neural networks with short-term synaptic depression and facilitation, Neural Comput., 21 (3), 851-871, 2009. (Author pdf) (Journal link)
  19. J. F. Mejias, J. J. Torres, S. Johnson and H. J. Kappen, Switching dynamics of neural systems in the presence of multiplicative colored noise, Lect. Not. Comp. Sci., 5517 (1), 17-23, 2009. ( Author pdf) (Chapter link)
  20. S. Johnson, J. Marro, J. F. Mejias and J. J. Torres, Development of neural network structure with biological mechanisms, Lect. Not. Comp. Sci., 5517 (1), 228-235, 2009. (Author pdf) (Chapter link)
  21. J. F. Mejias and J. J. Torres, The role of synaptic facilitation in spike coincidence detection. J. Comput. Neurosci., 24 (2), 222-234, 2008. (Author pdf) (Journal link)
  22. J. F. Mejias and J. J. Torres, Improvement of spike coincidence detection with facilitating synapses. Neurocomputing, 70, 2026-2029, 2007. (Author pdf) (Journal link)


  1. J. F. Mejias, Short-term synaptic plasticity: computational implications in the emergent behavior of neural systems , Ph. D. thesis, Universidad de Granada, ISBN: 978-84-692-8368-4, 2009. Available on request.
  2. J. F. Mejias, Coincidence detection with dynamic synapses , Master thesis, Universidad de Granada, 2007.

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