A model of time-varying music engagement
The current paper offers a model of time-varying music engagement, defined as changes in
curiosity, attention and positive valence, as music unfolds over time. First, we present …
curiosity, attention and positive valence, as music unfolds over time. First, we present …
An overview of the free energy principle and related research
The free energy principle and its corollary, the active inference framework, serve as
theoretical foundations in the domain of neuroscience, explaining the genesis of intelligent …
theoretical foundations in the domain of neuroscience, explaining the genesis of intelligent …
[HTML][HTML] Supervised structure learning
This paper concerns structure learning or discovery of discrete generative models. It focuses
on Bayesian model selection and the assimilation of training data or content, with a special …
on Bayesian model selection and the assimilation of training data or content, with a special …
The Inherent Normativity of Concepts
WY So, KJ Friston, V Neacsu - Minds and Machines, 2024 - Springer
Abstract Concept normativity is a prominent subject of inquiry in the philosophical literature
on the nature of concepts. Concepts are said to be normative, in that the use of concepts to …
on the nature of concepts. Concepts are said to be normative, in that the use of concepts to …
Spatial and Temporal Hierarchy for Autonomous Navigation Using Active Inference in Minigrid Environment
Robust evidence suggests that humans explore their environment using a combination of
topological landmarks and coarse-grained path integration. This approach relies on …
topological landmarks and coarse-grained path integration. This approach relies on …
Exploring and Learning Structure: Active Inference Approach in Navigational Agents
D de Tinguy, T Verbelen, B Dhoedt - International Workshop on Active …, 2024 - Springer
Drawing inspiration from animal navigation strategies, we introduce a novel computational
model for navigation and mapping, rooted in biologically inspired principles. Animals exhibit …
model for navigation and mapping, rooted in biologically inspired principles. Animals exhibit …
Learning dynamic cognitive map with autonomous navigation
D De Tinguy, T Verbelen, B Dhoedt - Frontiers in Computational …, 2024 - frontiersin.org
Inspired by animal navigation strategies, we introduce a novel computational model to
navigate and map a space rooted in biologically inspired principles. Animals exhibit …
navigate and map a space rooted in biologically inspired principles. Animals exhibit …
A new causal centrality measure reveals the prominent role of subcortical structures in the causal architecture of the extended default mode network
TS Zarghami - Brain Structure and Function, 2023 - Springer
Network representation has been an incredibly useful concept for understanding the
behavior of complex systems in social sciences, biology, neuroscience, and beyond …
behavior of complex systems in social sciences, biology, neuroscience, and beyond …
Structure learning with Temporal Gaussian Mixture for model-based Reinforcement Learning
Model-based reinforcement learning refers to a set of approaches capable of sample-
efficient decision making, which create an explicit model of the environment. This model can …
efficient decision making, which create an explicit model of the environment. This model can …
Developing higher cognition through predictive processing.
D Rutar - Journal of Contemporary Educational Studies …, 2023 - search.ebscohost.com
Predictive processing is an influential theoretical framework in cognitive science that
promises to provide a unifying account of all perception, action and cognition. Whilst it has …
promises to provide a unifying account of all perception, action and cognition. Whilst it has …