ls publications/ --sort=year --reverse
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2026 Reframing the expected free energy: Four formulations and a unification
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2025 The CRISTAL Method: Fast, reliable analytical problem-solving with pre-synthesized grounded world models
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2025 AXIOM: Learning to Play Games in Minutes with Expanding Object-Centric Models
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2025 From pixels to planning: Scale-free active inference
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2024 Bayesian sparsification for deep neural networks with Bayesian model reduction
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2024 Joint modeling of choices and reaction times based on Bayesian contextual behavioral control
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2024 Gradient-free variational learning with conditional mixture networks
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2024 Modelling agency perception in a multi-agent context in depression using active inference
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2024 Supervised structure learning
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2023 Shorter planning depth and higher response noise during sequential decision-making in old age
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2022 Revealing human sensitivity to a latent temporal structure of changes
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2021 Balancing control: a Bayesian interpretation of habitual and goal-directed behavior
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2021 Predicting the cumulative medical load of COVID-19 outbreaks after the peak in daily fatalities
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2021 Neuronal sequence models for Bayesian online inference
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2021 Meta-control of the exploration–exploitation dilemma emerges from probabilistic inference over a hierarchy of time scales
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2021 Probabilistic perspectives on brain (dys)function
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2021 An empirical evaluation of active inference in multi-armed bandits
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2020 Dynamic integration of forward planning and heuristic preferences during multiple goal pursuit
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2019 An active inference perspective on habit learning
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2019 Predicting change: approximate inference under explicit representation of temporal structure in changing environments
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2019 Neuronal message passing using mean-field, Bethe, and marginal approximations
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2018 Vector autoregressive hierarchical hidden Markov models for extracting finger movements using multichannel surface EMG signals
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2018 Adaptive interface for mapping body movements to sounds
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2018 Active inference, belief propagation, and the Bethe approximation
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2018 Context-dependent risk aversion: a model-based approach
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2018 Deterministic response strategies in a trial-and-error learning task
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2017 Decoding of individual finger movements from surface EMG signals using vector autoregressive hierarchical hidden Markov models
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2016 Inferring neuronal dynamics from calcium imaging data using biophysical models and Bayesian inference
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2016 Comparative analysis of behavioral models for adaptive learning in changing environments
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2016 Body movement to sound interface with vector autoregressive hierarchical hidden Markov models
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2015 Modeling the evolution of beliefs using an attentional focus mechanism
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2014 Power laws and self-organized criticality in theory and nature
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2013 Observing scale-invariance in non-critical dynamical systems
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2013 Criticality in conserved dynamical systems: Experimental observation vs. exact properties
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2012 Neuropsychological constraints to human data production on a global scale
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2012 Intrinsic adaptation in autonomous recurrent neural networks
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2010 Self-organized chaos through polyhomeostatic optimization
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2009 Vertex routing models
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