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Donnelly-Kehoe, P. A., Saenger, V. M., Lisofsky, N., Kühn, S., Kringelbach, M. L., Schwarzbach, J., & Deco, G. (2017). Consistent local dynamics in the brain across sessions are revealed by whole brain modeling of resting state activity. BioRxiv, 104232. https://doi.org/10.1101/104232

Grandy, T., Lindenberger, U., & Werkle-Bergner, M. (2017). When group means fail: Can one size fit all? BioRxiv, 126490. https://doi.org/10.1101/126490

Leuker, C., Pachur, T., Hertwig, R., & Pleskac, T. J. (2017). Exploiting risk-reward structures in decision making under uncertainty. Open Science Framework. Advance online publication. https://doi.org/10.17605/OSF.IO/TMCND

Motsch, S., Moussaïd, M., Guillot, E. G., Moreau, M., Pettré, J., Theraulaz, G., Appert-Rolland, C., & Degond, P. (2017). Forecasting crowd dynamics through coarse-grained data analysis. BioRxiv, 175760. https://doi.org/10.1101/175760

Schuck, N. W., Wilson, R. C., & Niv, Y. (2017). A state representation for reinforcement learning and decision-making in the orbitofrontal cortex. BioRxiv, 210591. https://doi.org/10.1101/210591

Wu, C. M., Schulz, E., Speekenbrink, M., Nelson, J. D., & Meder, B. (2017). Mapping the unknown: The spatially correlated multi-armed bandit. BioRxiv, 06286. https://doi.org/10.1101/106286

Teng, S., Sommer, V., Pantazis, D., & Oliva, A. (2016). Hearing scenes: A neuromagnetic signature of perceived auditory spatial extent. BioRxiv, 061762. https://doi.org/10.1101/061762

Burton, J. W. (2023, September 21). Algorithmic amplification for collective intelligence [Blog post]. Knight First Amendement Institute. September 21, 2023, https://perma.cc/26GH-UWYB.

Pernau, M. (2023, January 24). Stones and Jinns: Time between layers of sedimentation and hauntology. Geschichtstheorie am Werk. January 24, 2023, https://gtw.hypotheses.org/11375.

Pernau, M. (2021). The India International Centre: Building for communication [Blog post]. Art History and Transculturation. https://arthistmj65.hypotheses.org/328.