Giovanni Pezzulo

TL;DR: The cerebellum in relation to neurocognitive development, language function, working memory, executive function, and the development of cerebellar internal control models is considered and some of the ways in which better understanding the Cerebellum's status as a “supervised learning machine” can enrich the ability to understand human function and adaptation are considered.

TL;DR: The fact that a gradient descent appears to be a valid description of neuronal activity means that variational free energy is a Lyapunov function for neuronal dynamics, which therefore conform to Hamilton’s principle of least action.

TL;DR: A formal treatment of choice behavior based on the premise that agents minimize the expected free energy of future outcomes and ad hoc softmax parameters become the expected (Bayes-optimal) precision of beliefs about, or confidence in, policies.

TL;DR: An Active Inference account of homeostatic regulation and behavioural control of Pavlovian, habitual and goal-directed behaviours explained with one scheme.

TL;DR: This work has shown that optimal behaviour is quintessentially belief based, and that habits are learned by observing one’s own goal directed behaviour and selected online during active inference.