Bogacz Group
The Bogacz Group is based at the Brain Network Dynamics Unit, University of Oxford.
Approaches
Computational Modelling
Our group uses computer simulations and mathematical analyses to understand learning and activity dynamics of brain networks, and how they are effected by brain stimulation. We use models to investigate how neural circuits learn and work in the healthy state, and how their dynamics and information processing may be best restored by treatments.
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Recent Papers
MRC CoRE in RND Output
ePC: Fast and Deep Predictive Coding in Digital Simulation
2026. 43rd International Conference on Machine Learning
MRC CoRE in RND Output
On the Infinite Width and Depth Limits of Predictive Coding Networks
2026, Proceedings of the 43rd International Conference on Machine Learning
MRC CoRE in RND Output
Dithering suppresses half-harmonic neural synchronisation to photic stimulation in humans.
2026. Brain Stimul, 19(3):103111.
Free Full Text at Europe PMC
PMC13328066
MRC CoRE in RND Output
Bidirectional Predictive Coding
2026. The Fourteenth International Conference on Learning Representations
Recent Preprints
MRC CoRE in RND Output
Temporally distinct reward and action prediction error signals during value learning and habit formation
Normative Networks for Source Separation via Local Plasticity and Dendritic Computation
Understanding Sample Efficiency in Predictive Coding
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Group Members
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