research
∙
08/15/2023
Brain-Inspired Computational Intelligence via Predictive Coding
Artificial intelligence (AI) is rapidly becoming one of the key technolo...
share
research
∙
08/15/2023
Hierarchical generative modelling for autonomous robots
Humans can produce complex whole-body motions when interacting with thei...
research
∙
07/27/2023
Collective behavior from surprise minimization
Collective motion is ubiquitous in nature; groups of animals, such as fi...
research
∙
07/14/2023
Brain in the Dark: Design Principles for Neuro-mimetic Learning and Inference
Even though the brain operates in pure darkness, within the skull, it ca...
research
∙
06/23/2023
Spectral Dynamic Causal Modelling: A Didactic Introduction and its Relationship with Functional Connectivity
We present a didactic introduction to spectral Dynamic Causal Modelling ...
research
∙
06/06/2023
Designing explainable artificial intelligence with active inference: A framework for transparent introspection and decision-making
This paper investigates the prospect of developing human-interpretable, ...
research
∙
03/09/2023
Curvature-Sensitive Predictive Coding with Approximate Laplace Monte Carlo
Predictive coding (PC) accounts of perception now form one of the domina...
research
∙
10/27/2022
Natural Language Syntax Complies with the Free-Energy Principle
Natural language syntax yields an unbounded array of hierarchically stru...
research
∙
07/20/2022
The Free Energy Principle drives neuromorphic development
We show how any system with morphological degrees of freedom and locally...
research
∙
04/05/2022
GeoSPM: Geostatistical parametric mapping for medicine
The characteristics and determinants of health and disease are often org...
research
∙
03/23/2022
Reclaiming saliency: rhythmic precision-modulated action and perception
Computational models of visual attention in artificial intelligence and ...
research
∙
03/20/2022
Geometric Methods for Sampling, Optimisation, Inference and Adaptive Agents
In this chapter, we identify fundamental geometric structures that under...
research
∙
01/11/2022
pymdp: A Python library for active inference in discrete state spaces
Active inference is an account of cognition and behavior in complex syst...
research
∙
09/21/2021
Active inference, Bayesian optimal design, and expected utility
Active inference, a corollary of the free energy principle, is a formal ...
research
∙
07/12/2021
Bayesian brains and the Rényi divergence
Under the Bayesian brain hypothesis, behavioural variations can be attri...
research
∙
06/08/2021
Exploration and preference satisfaction trade-off in reward-free learning
Biological agents have meaningful interactions with their environment de...
research
∙
03/25/2021
Active Tree Search in Large POMDPs
Model-based planning and prospection are widely studied in both cognitiv...
research
∙
09/17/2020
The relationship between dynamic programming and active inference: the discrete, finite-horizon case
Active inference is a normative framework for generating behaviour based...
research
∙
09/03/2020
Action and Perception as Divergence Minimization
We introduce a unified objective for action and perception of intelligen...
research
∙
06/07/2020
Deep active inference agents using Monte-Carlo methods
Active inference is a Bayesian framework for understanding biological in...
research
∙
06/07/2020
Sophisticated Inference
Active inference offers a first principle account of sentient behaviour,...
research
∙
05/18/2018
Bayesian model reduction
This paper reviews recent developments in statistical structure learning...
research
∙
05/20/2017
Bayesian Belief Updating of Spatiotemporal Seizure Dynamics
Epileptic seizure activity shows complicated dynamics in both space and ...
research
∙
05/17/2017