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Results: 27
Number of items: 27
  • Brucklacher, M., Lee, K., Moreni, G., Mejías, J. F., Bohté, S. M., & Pennartz, C. M. A. (2024). Predictive processing in neuroscience, computational modeling and psychology. In J. H. Grafman (Ed.), Encyclopedia of the Human Brain (2nd ed., Vol. 4, pp. 645-667). Elsevier. https://doi.org/10.1016/b978-0-12-820480-1.00201-1
  • Mejías, J. F., Amunts, K., Bjaalie, J. G., Bohté, S. M., Destexhe, A., Muckli, L., Paolucci, P. S., Pearson, M. J., & Pennartz, C. M. A. (2024). Human Brain Project and Beyond. In G. J. Boyle, G. Northoff, A. K. Barbey, F. Fregni, M. Jahanshahi, A. Pascual-Leone, & B. J. Sahakian (Eds.), The Sage Handbook of Cognitive and Systems Neuroscience. - [v. 1]. Cognitive systems, development and applications (pp. 511–532). Sage. https://doi.org/10.4135/9781529616613.n31
  • Open Access
    Beerendonk, L., Mejías, J. F., Nuiten, S. A., de Gee, J. W., Fahrenfort, J. J., & van Gaal, S. (2024). A disinhibitory circuit mechanism explains a general principle of peak performance during mid-level arousal. Proceedings of the National Academy of Sciences, 121(5), Article e2312898121. https://doi.org/10.1073/pnas.2312898121
  • Open Access
    Lee, K., Dora, S., Mejias, J. F., Bohte, S. M., & Pennartz, C. M. A. (2024). Predictive coding with spiking neurons and feedforward gist signaling. Frontiers in Computational Neuroscience, 18, Article 1338280. https://doi.org/10.3389/fncom.2024.1338280
  • Open Access
    Amunts, K., Axer, M., Banerjee, S., Mejias, J., Pennartz, C., & Human Brain Project (2024). The coming decade of digital brain research: A vision for neuroscience at the intersection of technology and computing. Imaging Neuroscience, 2. https://doi.org/10.5281/zenodo.10035197, https://doi.org/10.1162/imag_a_00137
  • Open Access
    van Holk, M., & Mejias, J. F. (2024). Biologically plausible models of cognitive flexibility: merging recurrent neural networks with full-brain dynamics. Current Opinion in Behavioral Sciences, 56, Article 101351. https://doi.org/10.1016/j.cobeha.2024.101351
  • Open Access
    Van Der Lande, G. J. M., Casas-Torremocha, D., Manasanch, A., Dalla Porta, L., Gosseries, O., Alnagger, N., Barra, A., Mejías, J. F., Panda, R., Riefolo, F., Thibaut, A., Bonhomme, V., Thirion, B., Clasca, F., Gorostiza, P., Sanchez-Vives, M. V., Deco, G., Laureys, S., Zamora-López, G., & Annen, J. (2024). Brain state identification and neuromodulation to promote recovery of consciousness. Brain Communications, 6(5), Article fcae362. https://doi.org/10.1093/braincomms/fcae362
  • 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
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