Weber, Lilian

Allostatic Self-efficacy: A Metacognitive Theory of Dyshomeostasis-Induced Fatigue and Depression

Stephan, K. E., Manjaly, Z. M., Mathys, C. D., Weber, L. A. E., Paliwal, S., Gard, T., Tittgemeyer, M., Fleming, S. M., Haker, H., Seth, A. K., et al. (2016) · Frontiers in Human Neuroscience

Psychosomatic Disorders and Their TreatmentsEmbodied and Extended Cognition

Cited by 437

Focus of attention modulates the heartbeat evoked potential

Petzschner, F. H., Weber, L. A., Wellstein, K. V., Paolini, G., Do, C. T., & Stephan, K. E. (2019) · NeuroImage

Heart Rate Variability and Autonomic ControlPsychosomatic Disorders and Their Treatments

Cited by 248

Inferring on the intentions of others by hierarchical Bayesian learning

Diaconescu, A. O., Mathys, C., Weber, L. A. E., Daunizeau, J., Kasper, L., Lomakina, E. I., Fehr, E., & Stephan, K. E. (2014) · PLoS Computational Biology

Child and Animal Learning DevelopmentDecision-Making and Behavioral Economics

Cited by 219

Computational psychosomatics and computational psychiatry: Toward a joint framework for differential diagnosis

Petzschner, F. H., Weber, L. A. E., Gard, T., & Stephan, K. E. (2017) · Biological Psychiatry

Embodied and Extended CognitionPsychosomatic Disorders and Their Treatments

Cited by 181

TAPAS: An Open-Source Software Package for Translational Neuromodeling and Computational Psychiatry

Frässle, S., Aponte, E. A., Bollmann, S., Brodersen, K. H., Do, C. T., Harrison, O. K., Harrison, S. J., Heinzle, J., Iglesias, S., Kasper, L., et al. (2021) · Frontiers in Psychiatry

Functional Brain Connectivity StudiesUndergraduate Neuroscience Education and Research

Cited by 169

Hierarchical Gaussian Filtering of Sufficient Statistic Time Series for Active Inference

Mathys, C., & Weber, L. (2020) · Communications in Computer and Information Science

Embodied and Extended CognitionGaussian Processes and Bayesian Inference

Cited by 8

The generalized Hierarchical Gaussian Filter

Weber, L. A., Waade, P. T., Legrand, N., Møller, A. H., Stephan, K. E., & Mathys, C. (2026) · eLife

Embodied and Extended CognitionGaussian Processes and Bayesian Inference

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pyhgf: A neural network library for predictive coding

Legrand, N., Weber, L., Waade, P. T., Daugaard, A. H. M., Khodadadi, M., Mikuš, N., & Mathys, C. (2024) · arXiv

Embodied and Extended CognitionBayesian Modeling and Causal Inference

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The generalized Hierarchical Gaussian Filter

Weber, L. A., Waade, P. T., Legrand, N., Møller, A. H., Stephan, K. E., & Mathys, C. (2026) · eLife

Embodied and Extended CognitionGaussian Processes and Bayesian Inference

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pyhgf: A neural network library for predictive coding

Legrand, N., Weber, L., Waade, P. T., Møller Daugaard, A. H., Khodadadi, M., Mikuš, N., & Mathys, C. (2026) · PLOS Computational Biology

Embodied and Extended CognitionBayesian Modeling and Causal Inference

Cited by 0

Robust volatility updates for Hierarchical Gaussian Filtering

Mathys, C., Legrand, N., Waade, P. T., Mikus, N., & Weber, L. A. (2026) · arXiv

Gaussian Processes and Bayesian InferenceTarget Tracking and Data Fusion in Sensor Networks

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