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Results: 30
Number of items: 30
  • Open Access
    Klaver, L. M. F., Brinkhof, L. P., Sikkens, T., Casado-Román, L., Williams, A. G., van Mourik-Donga, L., Mejías, J. F., Pennartz, C. M. A., & Bosman, C. A. (2023). Spontaneous variations in arousal modulate subsequent visual processing and local field potential dynamics in the ferret during quiet wakefulness. Cerebral Cortex, 33(12), 7564-7581. https://doi.org/10.1093/cercor/bhad061
  • Open Access
    Brucklacher, M., Bohté, S. M., Mejias, J. F., & Pennartz, C. M. A. (2023). Local minimization of prediction errors drives learning of invariant object representations in a generative network model of visual perception. Frontiers in Computational Neuroscience, 17, Article 1207361. https://doi.org/10.3389/fncom.2023.1207361
  • Open Access
    Mejías, J. F., & Wang, X. J. (2022). Mechanisms of distributed working memory in a large-scale network of macaque neocortex. eLife, 11, Article e72136. https://doi.org/10.7554/ELIFE.72136
  • Open Access
    Torres, J. J., Muñoz, M. A., Cortés, J. M., & Mejías, J. F. (2021). Special Issue on Emergent Effects in Stochastic Neural Networks with Application to Learning and Information Processing. Neurocomputing, 461, 632-634. https://doi.org/10.1016/j.neucom.2021.02.097
  • Open Access
    Lindeman, S., Hong, S., Kros, L., Mejias, J. F., Romano, V., Oostenveld, R., Negrello, M., Bosman, L. W. J., & De Zeeuw, C. I. (2021). Cerebellar Purkinje cells can differentially modulate coherence between sensory and motor cortex depending on region and behavior. Proceedings of the National Academy of Sciences of the United States of America, 118(2), Article e2015292118. https://doi.org/10.1073/pnas.2015292118
  • Open Access
    Nunes, R. V., Reyes, M. B., Mejias, J. F., & de Camargo, R. Y. (2021). Directed functional and structural connectivity in a large-scale model for the mouse cortex. Network Neuroscience, 5(4), 874-889. https://doi.org/10.1162/netn_a_00206
  • Open Access
    Homberg, J. R., Adan, R. A. H., Alenina, N., Asiminas, A., Bader, M., Beckers, T., Begg, D. P., Blokland, A., Burger, M. E., van Dijk, G., Eisel, U. L. M., Elgersma, Y., Englitz, B., Fernandez-Ruiz, A., Fitzsimons, C. P., van Dam, A.-M., Gass, P., Grandjean, J., Havekes, R., ... Genzel, L. (2021). The continued need for animals to advance brain research. Neuron, 109(15), 2374-2379. https://doi.org/10.1016/j.neuron.2021.07.015
  • Open Access
    Meijer, G. T., Marchesi, P., Mejias, J. F., Montijn, J. S., Lansink, C. S., & Pennartz, C. M. A. (2020). Neural Correlates of Multisensory Detection Behavior: Comparison of Primary and Higher-Order Visual Cortex. Cell Reports, 31(6), Article 107636. https://doi.org/10.1016/j.celrep.2020.107636
  • Open Access
    Deza, R. R., Deza, I., Martínez, N., Mejías, J. F., & Wio, H. S. (2019). A Nonequilibrium-Potential Approach to Competition in Neural Populations. Frontiers in Physics, 6, Article 154. https://doi.org/10.3389/fphy.2018.00154
  • Jaramillo, J., Mejias, J. F., & Wang, X.-J. (2019). Engagement of pulvino-cortical feedforward and feedback pathways in cognitive computations. Neuron, 101(2), 321-336.e9. https://doi.org/10.1016/j.neuron.2018.11.023
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