Thomas Parr

This study shows that inferential planning in the frontal cortex generates simultaneous neural representations of sequence elements through probabilistic inference, unifying planning, memory, and motor preparation findings.

This paper develops an active inference model of stuttering that explains private speech fluency and information-value effects in social contexts.

This study investigates how spatial and colour information is updated across saccades in healthy ageing and neurodegenerative diseases, finding that spatial memory is selectively impaired.

This paper introduces a formal model of cardiac active inference to explain how cardiac signals influence exteroceptive perception and confidence, and demonstrates its implications for fear perception and physiological reactivity.

This paper develops a hierarchical active inference model for visual scene construction, showing it generates empirical evidence accumulation phenomena and novel behaviors in uncertain environments.

The paper shows that humans can transfer structural knowledge across tasks by inferring abstract basis sets, improving performance in novel environments.

The paper uses Active Inference to simulate agents learning habit formation strategies in different environments, finding that specialization is advantageous in stable environments while generalization occurs in volatile ones.

This paper introduces active listening as a framework for speech synthesis and recognition, showing how word boundaries are selected to maximise evidence for internal models.

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.

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.

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

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

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

This paper extends a computational model of hallucinations to explain in- and out-of-context hallucinations using active inference principles.

This study investigates the neural mechanisms underlying transitions in cortical beta power in Parkinsonian rats using dynamic causal modeling and identifies key thalamocortical coupling patterns.

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.

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.