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09/21/2023
Bayesian sparsification for deep neural networks with Bayesian model reduction
Deep learning's immense capabilities are often constrained by the comple...
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09/12/2023
Life-inspired Interoceptive Artificial Intelligence for Autonomous and Adaptive Agents
Building autonomous — i.e., choosing goals based on one's needs – and ad...
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08/21/2023
Linking fast and slow: the case for generative models
A pervasive challenge in neuroscience is testing whether neuronal connec...
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12/02/2022
Designing Ecosystems of Intelligence from First Principles
This white paper lays out a vision of research and development in the fi...
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04/22/2021
Trust as Extended Control: Active Inference and User Feedback During Human-Robot Collaboration
To interact seamlessly with robots, users must infer the causes of a rob...
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12/22/2020
Revealing the Transmission Dynamics of COVID-19: A Bayesian Framework for R_t Estimation
In epidemiological modelling, the instantaneous reproduction number, R_t...
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09/24/2019
Demystifying active inference
Active inference is a first (Bayesian) principles account of how autonom...
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05/20/2018
Optimising data for modelling neuronal responses
In this technical note, we address an unresolved challenge in neuroimagi...
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04/30/2018