Thomas Parr

Orcid: 0000-0001-5108-5743

According to our database1, Thomas Parr authored at least 38 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
The Many Roles of Precision in Action.
Entropy, September, 2024

Active Data Selection and Information Seeking.
Algorithms, March, 2024

From pixels to planning: scale-free active inference.
CoRR, 2024

2023
A primer on Variational Laplace (VL).
NeuroImage, October, 2023

A Variational Synthesis of Evolutionary and Developmental Dynamics.
Entropy, July, 2023

Reward Maximization Through Discrete Active Inference.
Neural Comput., May, 2023

Active Inference and Intentional Behaviour.
CoRR, 2023

Supervised structure learning.
CoRR, 2023

2022
In the Body's Eye: The computational anatomy of interoceptive inference.
PLoS Comput. Biol., September, 2022

Reclaiming saliency: Rhythmic precision-modulated action and perception.
Frontiers Neurorobotics, September, 2022

Bayesian Brains and the Rényi Divergence.
Neural Comput., 2022

2021
Active Inference: Demystified and Compared.
Neural Comput., 2021

Deeply Felt Affect: The Emergence of Valence in Deep Active Inference.
Neural Comput., 2021

Sophisticated Inference.
Neural Comput., 2021

Editorial: Probabilistic Perspectives on Brain (Dys)function.
Frontiers Artif. Intell., 2021

Generative Models for Active Vision.
Frontiers Neurorobotics, 2021

Memory and Markov Blankets.
Entropy, 2021

Message Passing and Metabolism.
Entropy, 2021

Stochastic Chaos and Markov Blankets.
Entropy, 2021

Some Interesting Observations on the Free Energy Principle.
Entropy, 2021

Neural Dynamics under Active Inference: Plausibility and Efficiency of Information Processing.
Entropy, 2021

Active inference, Bayesian optimal design, and expected utility.
CoRR, 2021

2020
Deep Active Inference and Scene Construction.
Frontiers Artif. Intell., 2020

A Bayesian Account of Generalist and Specialist Formation Under the Active Inference Framework.
Frontiers Artif. Intell., 2020

An Active Inference Approach to Modeling Structure Learning: Concept Learning as an Example Case.
Frontiers Comput. Neurosci., 2020

An Investigation of the Free Energy Principle for Emotion Recognition.
Frontiers Comput. Neurosci., 2020

Modules or Mean-Fields?
Entropy, 2020

Inferring What to Do (And What Not to).
Entropy, 2020

The relationship between dynamic programming and active inference: the discrete, finite-horizon case.
CoRR, 2020

Action and Perception as Divergence Minimization.
CoRR, 2020

2019
With an eye on uncertainty: Modelling pupillary responses to environmental volatility.
PLoS Comput. Biol., 2019

Thalamocortical dynamics underlying spontaneous transitions in beta power in Parkinsonism.
NeuroImage, 2019

Bayesian Filtering with Multiple Internal Models: Toward a Theory of Social Intelligence.
Neural Comput., 2019

Impulsivity and Active Inference.
J. Cogn. Neurosci., 2019

Generalised free energy and active inference.
Biol. Cybern., 2019

Disorders of Artificial Awareness.
Proceedings of the Papers of the 2019 Towards Conscious AI Systems Symposium co-located with the Association for the Advancement of Artificial Intelligence 2019 Spring Symposium Series (AAAI SSS-19), 2019

2018
The Discrete and Continuous Brain: From Decisions to Movement - And Back Again.
Neural Comput., 2018

The Anatomy of Inference: Generative Models and Brain Structure.
Frontiers Comput. Neurosci., 2018


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