The Free Energy Principle drives neuromorphic development
The authors demonstrate that systems with morphological degrees of freedom and constrained free energy evolve toward neuromorphic structures that faci…
Category: Scientific Research Papers
Successor representation active inference
The paper by Millidge and Buckley explores the relationship between classical reinforcement learning, Bayesian filtering, and Active Inference, propos…
Weak Markov blankets in high-dimensional, sparsely-coupled random dynamical systems
This paper by Dalton AR Sakthivadivel explores high-dimensional random dynamical systems with sparse couplings to external systems, focusing on contro…
Commentary: The Nature of Beliefs and Believing
The editorial discusses belief in cognitive science, particularly through the lens of computational neuroscience, defining beliefs as representations …
Sparse coupling and Markov blankets: A comment on” How particular is the physics of the Free Energy Principle?” by Aguilera, Millidge, Tschantz and Buckley
This commentary addresses a technical analysis of the Free Energy Principle by Aguilera et al., challenging the claim that sparse coupling ensures Mar…
Regarding Flows Under the Free Energy Principle: A Comment on” How Particular is the Physics of the Free Energy Principle?” by Aguilera, Millidge, Tschantz, and Buckley
The author critiques a recent paper on the free energy principle (FEP) by Aguilera et al., arguing their points on its limitations are valid but not d…
Applying the Free Energy Principle to Complex Adaptive Systems
The article discusses the Free Energy Principle (FEP) as a unified model for understanding adaptive behaviors in complex systems, extending beyond the…
A Probabilistic Generative Model of Free Categories
This paper presents a probabilistic generative model for morphisms in free monoidal categories, linking applied category theory and machine learning. …
Towards a geometry and analysis for Bayesian mechanics
The paper formulates Bayesian mechanics via axiomatic principles, arguing that constrained dynamical systems infer against these constraints, implying…
Embodied object representation learning and recognition
The article discusses a novel approach to object recognition and representation learning, emphasizing the importance of interactive learning, akin to …