Search results
Results: 226
Number of items: 226
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Lee, K., Pennartz, C. M. A., & Mejias, J. F. (2025). Cortical networks with multiple interneuron types generate oscillatory patterns during predictive coding. PLoS Computational Biology, 21(9 September), Article e1013469. https://doi.org/10.1371/journal.pcbi.1013469 -
Wierda, T. S., Dora, S., Pennartz, C. M. A., & Mejias, J. F. (2025). Diverse and flexible behavioral strategies arise in recurrent neural networks trained on multisensory decision making. PLoS Computational Biology, 21(10), Article e1013559. https://doi.org/10.1371/journal.pcbi.1013559 -
Takahashi, K., Huis In 't Veld, G., Benedetti, D., Wang, J.-Y., Pontes Quero, S., Yuste, R., Pennartz, C. M. A., & Olcese, U. (2025). Protocol for synthesizing, implanting, and using polydimethylsiloxane as skull replacement in mice for imaging, electrophysiology, and optogenetics. STAR Protocols, 6(3), Article 103964. https://doi.org/10.1016/j.xpro.2025.103964 -
Takahashi, K., Huis in 't Veld, G., Benedetti, D., Wang, J.-Y. W., Pontes Quero, S., Yuste, R., Pennartz, C. M., & Olcese, U. (2025, June 2). Materials and datasets for "A PDMS-based skull replacement suitable for optical and mechanical access in long-term neuronal imaging, electrophysiology, and optogenetics" [Data set]. Zenodo. https://doi.org/10.5281/zenodo.15577657
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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
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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
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