activity
20192022
most citedReinforcement Learning through Active Inference

58 citations · 96 across the 11 of their papers we have counts for

collaborators

18 papers

q-bio.NC20222 cited

Hybrid Predictive Coding: Inferring, Fast and Slow

Alexander Tschantz, Beren Millidge, Anil K Seth +1

Predictive coding is an influential model of cortical neural activity. It proposes that perceptual beliefs are furnished by sequentially minimising "prediction errors" - the differ…

cs.NE20227 cited

Predictive Coding: Towards a Future of Deep Learning beyond Backpropagation?

Beren Millidge, Tommaso Salvatori, Yuhang Song +2

The backpropagation of error algorithm used to train deep neural networks has been fundamental to the successes of deep learning. However, it requires sequential backward updates a…

cs.AI20211 cited

A Mathematical Walkthrough and Discussion of the Free Energy Principle

Beren Millidge, Anil Seth, Christopher L Buckley

The Free-Energy-Principle (FEP) is an influential and controversial theory which postulates a deep and powerful connection between the stochastic thermodynamics of self-organizatio…

cs.AI2021

Habitual and Reflective Control in Hierarchical Predictive Coding

Paul F. Kinghorn, Beren Millidge, Christopher L. Buckley

In cognitive science, behaviour is often separated into two types. Reflexive control is habitual and immediate, whereas reflective is deliberative and time consuming. We examine th…

cs.AI20213 cited

Applications of the Free Energy Principle to Machine Learning and Neuroscience

Beren Millidge

In this PhD thesis, we explore and apply methods inspired by the free energy principle to two important areas in machine learning and neuroscience. The free energy principle is a g…

cs.AI20211 cited

Towards a Mathematical Theory of Abstraction

Beren Millidge

While the utility of well-chosen abstractions for understanding and predicting the behaviour of complex systems is well appreciated, precisely what an abstraction has…