Thomas Parr

According to our database, Thomas Parr authored at least 36 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Active Data Selection and Information Seeking.

Thomas Parr, Karl J. Friston, Peter Zeidman

Algorithms, March, 2024

2023

A primer on Variational Laplace (VL).

Peter Zeidman, Karl J. Friston, Thomas Parr

NeuroImage, October, 2023

A Variational Synthesis of Evolutionary and Developmental Dynamics.

Karl J. Friston, Daniel Ari Friedman, Axel Constant, V. Bleu Knight, Chris Fields, Thomas Parr, John O. Campbell

Entropy, July, 2023

Reward Maximization Through Discrete Active Inference.

Lancelot Da Costa, Noor Sajid, Thomas Parr, Karl J. Friston, Ryan Smith

Neural Comput., May, 2023

Active Inference and Intentional Behaviour.

Karl J. Friston, Tommaso Salvatori, Takuya Isomura, Alexander Tschantz, Alex B. Kiefer, Tim Verbelen, Magnus T. Koudahl, Aswin Paul, Thomas Parr, Adeel Razi, Brett Kagan, Christopher L. Buckley, Maxwell J. D. Ramstead

CoRR, 2023

Supervised structure learning.

Karl J. Friston, Lancelot Da Costa, Alexander Tschantz, Alex B. Kiefer, Tommaso Salvatori, Victorita Neacsu, Magnus T. Koudahl, Conor Heins, Noor Sajid, Dimitrije Markovic, Thomas Parr, Tim Verbelen, Christopher L. Buckley

CoRR, 2023

2022

In the Body's Eye: The computational anatomy of interoceptive inference.

Micah Allen, Andrew Levy, Thomas Parr, Karl J. Friston

PLoS Comput. Biol., September, 2022

Reclaiming saliency: Rhythmic precision-modulated action and perception.

Ajith Anil Meera, Filip Novicky, Thomas Parr, Karl J. Friston, Pablo Lanillos, Noor Sajid

Frontiers Neurorobotics, September, 2022

Bayesian Brains and the Rényi Divergence.

Noor Sajid, Francesco Faccio, Lancelot Da Costa, Thomas Parr, Jürgen Schmidhuber, Karl J. Friston

Neural Comput., 2022

2021

Active Inference: Demystified and Compared.

Noor Sajid, Philip J. Ball, Thomas Parr, Karl J. Friston

Neural Comput., 2021

Deeply Felt Affect: The Emergence of Valence in Deep Active Inference.

Casper Hesp, Ryan Smith, Thomas Parr, Micah Allen, Karl J. Friston, Maxwell James D. Ramstead

Neural Comput., 2021

Sophisticated Inference.

Karl J. Friston, Lancelot Da Costa, Danijar Hafner, Casper Hesp, Thomas Parr

Neural Comput., 2021

Editorial: Probabilistic Perspectives on Brain (Dys)function.

Thomas Parr, Dimitrije Markovic, Maxwell James D. Ramstead, Ryan Smith, Casper Hesp, Karl J. Friston

Frontiers Artif. Intell., 2021

Generative Models for Active Vision.

Thomas Parr, Noor Sajid, Lancelot Da Costa, M. Berk Mirza, Karl J. Friston

Frontiers Neurorobotics, 2021

Memory and Markov Blankets.

Thomas Parr, Lancelot Da Costa, Conor Heins, Maxwell James D. Ramstead, Karl J. Friston

Entropy, 2021

Message Passing and Metabolism.

Thomas Parr

Entropy, 2021

Stochastic Chaos and Markov Blankets.

Karl J. Friston, Conor Heins, Kai Ueltzhöffer, Lancelot Da Costa, Thomas Parr

Entropy, 2021

Some Interesting Observations on the Free Energy Principle.

Karl J. Friston, Lancelot Da Costa, Thomas Parr

Entropy, 2021

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

Lancelot Da Costa, Thomas Parr, Biswa Sengupta, Karl J. Friston

Entropy, 2021

Active inference, Bayesian optimal design, and expected utility.

Noor Sajid, Lancelot Da Costa, Thomas Parr, Karl J. Friston

CoRR, 2021

2020

Deep Active Inference and Scene Construction.

Conor Heins, M. Berk Mirza, Thomas Parr, Karl J. Friston, Igor Kagan, Arezoo Pooresmaeili

Frontiers Artif. Intell., 2020

A Bayesian Account of Generalist and Specialist Formation Under the Active Inference Framework.

Anthony G. Chen, David Benrimoh, Thomas Parr, Karl J. Friston

Frontiers Artif. Intell., 2020

An Active Inference Approach to Modeling Structure Learning: Concept Learning as an Example Case.

Ryan Smith, Philipp Schwartenbeck, Thomas Parr, Karl J. Friston

Frontiers Comput. Neurosci., 2020

An Investigation of the Free Energy Principle for Emotion Recognition.

Daphne Demekas, Thomas Parr, Karl J. Friston

Frontiers Comput. Neurosci., 2020

Modules or Mean-Fields?

Thomas Parr, Noor Sajid, Karl J. Friston

Entropy, 2020

Inferring What to Do (And What Not to).

Thomas Parr

Entropy, 2020

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

Lancelot Da Costa, Noor Sajid, Thomas Parr, Karl J. Friston, Ryan Smith

CoRR, 2020

Action and Perception as Divergence Minimization.

Danijar Hafner, Pedro A. Ortega, Jimmy Ba, Thomas Parr, Karl J. Friston, Nicolas Heess

CoRR, 2020

2019

With an eye on uncertainty: Modelling pupillary responses to environmental volatility.

Peter Vincent, Thomas Parr, David Benrimoh, Karl J. Friston

PLoS Comput. Biol., 2019

Thalamocortical dynamics underlying spontaneous transitions in beta power in Parkinsonism.

Carolina Reis, Andrew Sharott, Peter J. Magill, Bernadette C. M. van Wijk, Thomas Parr, Peter Zeidman, Karl J. Friston, Hayriye Cagnan

NeuroImage, 2019

Bayesian Filtering with Multiple Internal Models: Toward a Theory of Social Intelligence.

Takuya Isomura, Thomas Parr, Karl J. Friston

Neural Comput., 2019

Impulsivity and Active Inference.

M. Berk Mirza, Rick A. Adams, Thomas Parr, Karl J. Friston

J. Cogn. Neurosci., 2019

Generalised free energy and active inference.

Thomas Parr, Karl J. Friston

Biol. Cybern., 2019

Disorders of Artificial Awareness.

Thomas Parr, Danijar Hafner, Karl J. Friston

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.

Thomas Parr, Karl J. Friston

Neural Comput., 2018

The Anatomy of Inference: Generative Models and Brain Structure.

Thomas Parr, Karl J. Friston

Frontiers Comput. Neurosci., 2018