Embodied and Extended Cognition

An active inference approach to modeling structure learning: concept learning as an example case

This paper introduces an active inference framework for modeling structure learning, using concept learning as an example, and demonstrates its ability to generalize and reduce model complexity.

Exploitation of local and global information in predictive processing

The paper investigates how global and local information interact in predictive processing using EEG, finding that global models better explain the data than local models.

Active inference under visuo-proprioceptive conflict: Simulation and empirical results

This study investigates how attention modulates task performance under conflicting visual and proprioceptive cues using simulation and human experiments.

Apathy is associated with reduced precision of prior beliefs about action outcomes

This study links apathy to reduced precision of prior beliefs about action outcomes using a Bayesian framework and a visuomotor task.

Confirmatory evidence that healthy individuals can adaptively adjust prior expectations and interoceptive precision estimates

The paper replicates previous findings showing healthy individuals adjust prior expectations and interoceptive precision estimates based on task context using an active inference approach.

Simulating emotions: An active inference model of emotional state inference and emotion concept learning

This paper presents an Active Inference model to simulate emotional state inference and emotion concept learning, showing it can acquire emotion concepts and their learning depends on early experiences and attention patterns.

Active inference, stressors, and psychological trauma: A neuroethological model of (mal)adaptive explore-exploit dynamics in ecological context

This paper develops a neuroethological model of stress and trauma using active inference to simulate adaptive and maladaptive behaviors in response to stressors.

Generalised free energy and active inference: can the future cause the past?

This paper compares two free energy functionals in active inference, showing how they differ in their treatment of future observations and policy selection.

Neurocomputational mechanisms underlying emotional awareness: insights afforded by deep active inference and their potential clinical relevance

This paper develops a deep active inference model to simulate neurocomputational mechanisms of emotional awareness and identifies potential clinical implications for personalized interventions.

Sensory-motor brain dynamics reflect architectural affordances

The paper investigates how brain activity reflects architectural affordances by analyzing sensory and motor responses in virtual environments.

Predictive neural processing in adult zebrafish depends on shank3b

This study shows that predictive processing in adult zebrafish depends on the shank3b gene, with altered error signals in specific forebrain regions.

Locus Coeruleus tracking of prediction errors optimises cognitive flexibility: an Active Inference model.

This paper models the locus coeruleus (LC) and noradrenaline (NA) system using Active Inference to show that LC activity reflects prediction errors, enabling adaptive learning and cognitive flexibility.

In vitro neural networks minimise variational free energy

The paper tests if in vitro neuronal responses align with Bayesian ideal observer models based on free energy minimization.

Planning and navigation as active inference

This paper formulates planning and navigation as active inference, showing agents solve maze problems by minimizing uncertainty through context-sensitive prior preferences and subgoal formation.

Social intelligence model with multiple internal models

The paper proposes a model for social intelligence that uses multiple internal models to infer and learn from conspecific interactions, demonstrating success in a synthetic bird learning zebra finch songs.

A probabilistic interpretation of PID controllers using active inference

The paper provides a probabilistic interpretation of PID controllers using active inference, showing how they align with free energy minimization principles.

Biological Self-organisation and Markov blankets

This paper demonstrates that Markov blankets emerge at all levels of biological systems through simulations based on variational free energy minimisation, supporting self-organisation and autopoietic behaviour.

Commentary on Sanborn and Chater: Posterior Modes are Attractor Basins

This paper discusses Sanborn and Chater's theory of cognitive and brain function using Bayesian sampling and explores its connections to free-energy principles and attractor-basin dynamics.

Boredom begets creativity: a solution to the exploitation-exploration trade-off in predictive coding

The paper explores whether predictive coding systems can exhibit creativity by incorporating boredom as a key factor in behavior.