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Topic: action control

Seminar
1 seminar

In Bayesian Statistics and Behavioral Neuroscience

Seminar · Computational Neuroscience

Learning in pain: probabilistic inference and (mal)adaptive control

Flavia Mancini · Department of Engineering

Tue, Apr 20, 2021 · 15:00 UTC

Pain is a major clinical problem affecting 1 in 5 people in the world. There are unresolved questions that urgently require answers to treat pain effectively, a crucial one being how the feeling of pain arises from brain activity. Computational models of pain consider how the brain processes noxious information and allow mapping neural circuits and networks to cognition and behaviour. To date, they have generally have assumed two largely independent processes: perceptual and/or predictive inference, typically modelled as an approximate Bayesian process, and action control, typically modelled a