Publications

Preprints

  • Mathys, C. D., Legrand, N., Waade, P. T., Mikuš, N., & Weber, L. (2026). Robust volatility updates for Hierarchical Gaussian Filtering. arXiv. doi: 10.48550/arxiv.2605.00966.

  • Foucault, C., Weber, L., & Hunt, L. T. (2026). Environmental dynamics shape human learning: change points versus random walks. eLife. doi: 10.7554/elife.110137.

  • Weber, L., Waade, P. T., Legrand, N., Møller, A. H., Stephan, K. E., & Mathys, C. (2026). The generalized Hierarchical Gaussian Filter. eLife. doi: 10.7554/elife.110174.

  • Legrand, N., Weber, L., & Mathys, C. (2026). Cardiac belief updating from volatile physiological afferents. bioRxiv. doi: 10.64898/2026.09.04.749527.

  • Müller-Schrader, M., Petzschner, F. H., Heinzle, J., Kasper, L., Wellstein, K. V., Bayer, J., …, Weber, L., …, & Stephan, K. Ε. (2025). Differences in layer-specific activation of the insula during interoceptive vs. exteroceptive attention. bioRxiv. doi: 10.1101/2025.10.08.679044.

  • Pereira, I., Galioulline, H., Enz, R., Hess, A. J., Müller-Schrader, M., Von Werder, D., …, Weber, L., …, & Stephan, K. Ε. (2025). Structured Code Review in Mental Health Research. Preprints.org. doi: 10.20944/preprints202510.0133.v2.

Peer-reviewed journal articles

2026

  • Bi, R., Grohn, J., Lockwood, P. L., Klein-Flügge, M. C., & Weber, L. (2026). Environmental uncertainty shapes human effort learning. PLoS Biology. doi: 10.1371/journal.pbio.3003791.

  • Gönül, G., Karabulut, A., & Hohenberger, A. (2026). Insightful problem solving and social learning in children's tool making: Exploring the role of napping, night sleep, age, and gender. Acta Psychologica. doi: 10.1016/j.actpsy.2026.107003.

  • Dome, L., Hezemans, F. H., Kadri, K., Wagner, B. J., Webb, A., & Hauser, T. U. (2026). cpm: A python library for theory-driven modelling in computational psychiatry. PLoS Computational Biology. doi: 10.1371/journal.pcbi.1014481.

  • Orlando, I. F., Hezemans, F. H., Tsvetanov, K. A., Ye, R., Rua, C., Regenthal, R., …, & O’Callaghan, C. (2026). Short term heart rate variability is preserved in Parkinson’s disease under atomoxetine. Brain Communications. doi: 10.1093/braincomms/fcag338.

  • Legrand, N., Weber, L., Waade, P. T., Daugaard, A. H. M., Khodadadi, M., Mikuš, N., & Mathys, C. (2026). pyhgf: A neural network library for predictive coding. PLoS Computational Biology. doi: 10.1371/journal.pcbi.1014340.

  • Algermissen, J., Rascu, M., Weber, L., Den Boer, T., Martin, E., Treeby, B. E., …, & Klein-Flügge, M. C. (2026). Low-intensity focused ultrasound to human amygdala reveals a causal role in ambiguous emotion processing and alters local and network-level activity. Neuron. doi: 10.1016/j.neuron.2026.03.009.

2025

  • Weber, L., Yee, D. M., Small, D. M., & Petzschner, F. H. (2025). The interoceptive origin of reinforcement learning. Trends in Cognitive Sciences. doi: 10.1016/j.tics.2025.05.008.

  • Rascu, M., Algermissen, J., Weber, L., Den Boer, T., Rushworth, M. F. S., & Klein-Flügge, M. C. (2025). Deep Transcranial Ultrasonic Brain Stimulation During Decision-Making in Changing Social-Emotional Environments. Brain stimulation. doi: 10.1016/j.brs.2024.12.582.

2024

  • McCutcheon, R. A., Weber, L., Nour, M. M., Cragg, S. J., & McGuire, P. M. (2024). Psychosis as a disorder of muscarinic signalling: psychopathology and pharmacology. The Lancet Psychiatry. doi: 10.1016/s2215-0366(24)00100-7.

2023

  • Ruesseler, M., Weber, L., Marshall, T. R., O’Reilly, J. X., & Hunt, L. T. (2023). Quantifying decision-making in dynamic, continuously evolving environments. eLife. doi: 10.7554/elife.82823.

  • Wehrman, J., Casey, C., Tanabe, S., Mohanta, S., Filbey, W., Weber, L., …, & Sanders, R. D. (2023). Subanaesthetic doses of ketamine reduce but do not eliminate predictive coding responses: implications for mechanisms of sensory disconnection. British Journal of Anaesthesia. doi: 10.1016/j.bja.2023.06.044.

2022

  • Weber, L., Tomiello, S., Schöbi, D., Wellstein, K. V., Mueller, D., Iglesias, S., & Stephan, K. Ε. (2022). Auditory mismatch responses are differentially sensitive to changes in muscarinic acetylcholine versus dopamine receptor function. eLife. doi: 10.7554/elife.74835.

2021

  • Frässle, S., Aponte, E. A., Bollmann, S., Brodersen, K. H., Cao, T., Harrison, O. K., …, Weber, L., …, & Stephan, K. Ε. (2021). TAPAS: An Open-Source Software Package for Translational Neuromodeling and Computational Psychiatry. Frontiers in Psychiatry. doi: 10.3389/fpsyt.2021.680811.

  • Lux, V., Non, A. L., Pexman, P. M., Stadler, W., Weber, L., & Krüger, M. (2021). A Developmental Framework for Embodiment Research: The Next Step Toward Integrating Concepts and Methods. Frontiers in Systems Neuroscience. doi: 10.3389/fnsys.2021.672740.

2020

  • Weber, L., Diaconescu, A. O., Mathys, C., Schmidt, A., Kometer, M., Vollenweider, F. X., & Stephan, K. Ε. (2020). Ketamine Affects Prediction Errors about Statistical Regularities: A Computational Single-Trial Analysis of the Mismatch Negativity. Journal of Neuroscience. doi: 10.1523/jneurosci.3069-19.2020.

2018

  • Petzschner, F. H., Weber, L., Wellstein, K. V., Paolini, G., Tri, C., & Stephan, K. Ε. (2018). Focus of attention modulates the heartbeat evoked potential. NeuroImage. doi: 10.1016/j.neuroimage.2018.11.037.

2017

  • Petzschner, F. H., Weber, L., Gard, T., & Stephan, K. Ε. (2017). Computational Psychosomatics and Computational Psychiatry: Toward a Joint Framework for Differential Diagnosis. Biological Psychiatry. doi: 10.1016/j.biopsych.2017.05.012.

2016

  • Stephan, K. Ε., Manjaly, Z. M., Mathys, C., Weber, L., Paliwal, S., Gard, T., …, & Petzschner, F. H. (2016). Allostatic Self-efficacy: A Metacognitive Theory of Dyshomeostasis-Induced Fatigue and Depression. Frontiers in Human Neuroscience. doi: 10.3389/fnhum.2016.00550.

  • Diaconescu, A. O., Mathys, C., Weber, L., Kasper, L., Mauer, J., & Stephan, K. Ε. (2016). Hierarchical prediction errors in midbrain and septum during social learning. Social Cognitive and Affective Neuroscience. doi: 10.1093/scan/nsw171.

2015

  • Khader, P. H., Pachur, T., Weber, L., & Jost, K. (2015). Neural Signatures of Controlled and Automatic Retrieval Processes in Memory-based Decision-making. Journal of Cognitive Neuroscience. doi: 10.1162/jocn_a_00882.

2014

  • Diaconescu, A. O., Mathys, C., Weber, L., Daunizeau, J., Kasper, L., Lomakina, E. I., …, & Stephan, K. Ε. (2014). Inferring on the Intentions of Others by Hierarchical Bayesian Learning. PLoS Computational Biology. doi: 10.1371/journal.pcbi.1003810.