Experimental validation of the free-energy principle with in vitro neural networks
The study validates the free-energy principle through in vitro networks of rat cortical neurons, confirming its predictive accuracy regarding self-org…
Tag: Top
Steps towards a minimal unifying model of consciousness: An integration of models of consciousness based on the free energy principle
The paper evaluates the "inner screen model" of consciousness, derived from the free energy principle (FEP), as a potential minimal unifying model (MU…
Causal Inference via Predictive Coding
The paper presents a novel approach to causal inference using predictive coding, a method inspired by neuroscience. By modifying the inference process…
Designing explainable artificial intelligence with active inference: A framework for transparent introspection and decision-making
The paper explores the development of explainable AI systems using active inference, emphasizing transparency in decision-making and introspection. It…
The free energy principle made simpler but not too simple – original pub date – Jan 17, 2022
The paper elucidates the free energy principle, linking random dynamical systems to Bayesian mechanics as a framework for understanding sentience. It …
The inner screen model of consciousness: applying the free energy principle directly to the study of conscious experience
This research explores a computational model of consciousness, focusing on associative memory in the hippocampus. It critiques traditional hierarchica…
On Bayesian Mechanics: A Physics of and by Beliefs
This paper introduces Bayesian mechanics, a field modeling systems with specific partitions that encode beliefs about external states. It reviews appl…
Designing Ecosystems of Intelligence from First Principles
The white paper outlines a future vision for artificial intelligence research, proposing a cyber-physical ecosystem of shared intelligence, where huma…