Christopher L. Buckley

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 59

Top Topics

Predictive Coding

Inference Process

Top Venues

PLoS Comput. Biol.

Publications

Karl J. Friston, Conor Heins, Tim Verbelen, Lancelot Da Costa, Tommaso Salvatori, Dimitrije Markovic, Alexander Tschantz, Magnus T. Koudahl, Christopher L. Buckley, Thomas Parr
From pixels to planning: scale-free active inference. CoRR (2024)
Ryan Singh, Christopher L. Buckley
Attention as Implicit Structural Inference. NeurIPS (2023)
Miguel De Llanza Varona, Christopher L. Buckley, Beren Millidge
Exploring Action-Centric Representations Through the Lens of Rate-Distortion Theory. IWAI (2023)
John G. Holman, Winnie W. K. Lai, Paul Pichler, Daniel Saska, Leon Lagnado, Christopher L. Buckley
A behavioral and modeling study of control algorithms underlying the translational optomotor response in larval zebrafish with implications for neural circuit function. PLoS Comput. Biol. 19 (2) (2023)
Tomasz Korbak, Kejian Shi, Angelica Chen, Rasika Vinayak Bhalerao, Christopher L. Buckley, Jason Phang, Samuel R. Bowman, Ethan Perez
Pretraining Language Models with Human Preferences. ICML (2023)
Ryan Singh, Christopher L. Buckley
Attention: Marginal Probability is All You Need? CoRR (2023)
Tomasz Korbak, Kejian Shi, Angelica Chen, Rasika Bhalerao, Christopher L. Buckley, Jason Phang, Samuel R. Bowman, Ethan Perez
Pretraining Language Models with Human Preferences. CoRR (2023)
Francesco Innocenti, Ryan Singh, Christopher L. Buckley
Understanding Predictive Coding as an Adaptive Trust-Region Method. CoRR (2023)
Alexander Tscshantz, Beren Millidge, Anil K. Seth, Christopher L. Buckley
Hybrid predictive coding: Inferring, fast and slow. PLoS Comput. Biol. 19 (8) (2023)
Alex B. Kiefer, Christopher L. Buckley
Relative Representations for Cognitive Graphs. IWAI (2023)
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
Active Inference and Intentional Behaviour. CoRR (2023)
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
Supervised structure learning. CoRR (2023)
Poppy Collis, Paul F. Kinghorn, Christopher L. Buckley
Understanding Tool Discovery and Tool Innovation Using Active Inference. IWAI (2023)
Tommaso Salvatori, Ankur Arjun Mali, Christopher L. Buckley, Thomas Lukasiewicz, Rajesh P. N. Rao, Karl J. Friston, Alexander Ororbia
Brain-Inspired Computational Intelligence via Predictive Coding. CoRR (2023)
Poppy Collis, Paul F. Kinghorn, Christopher L. Buckley
Understanding Tool Discovery and Tool Innovation Using Active Inference. CoRR (2023)
Beren Millidge, Christopher L. Buckley
Successor Representation Active Inference. CoRR (2022)
Paul F. Kinghorn, Beren Millidge, Christopher L. Buckley
Preventing Deterioration of Classification Accuracy in Predictive Coding Networks. CoRR (2022)
Beren Millidge, Christopher L. Buckley
Active Inference Successor Representations. IWAI (2022)
Tomasz Korbak, Ethan Perez, Christopher L. Buckley
RL with KL penalties is better viewed as Bayesian inference. EMNLP (Findings) (2022)
Paul F. Kinghorn, Beren Millidge, Christopher L. Buckley
Preventing Deterioration of Classification Accuracy in Predictive Coding Networks. IWAI (2022)
Alexander Tschantz, Beren Millidge, Anil K. Seth, Christopher L. Buckley
Hybrid Predictive Coding: Inferring, Fast and Slow. CoRR (2022)
Conor Heins, Brennan Klein, Daphne Demekas, Miguel Aguilera, Christopher L. Buckley
Spin Glass Systems as Collective Active Inference. IWAI (2022)
Beren Millidge, Alexander Tschantz, Christopher L. Buckley
Predictive Coding Approximates Backprop Along Arbitrary Computation Graphs. Neural Comput. 34 (6) (2022)
Karl J. Friston, Maxwell J. D. Ramstead, Alex B. Kiefer, Alexander Tschantz, Christopher L. Buckley, Mahault Albarracin, Riddhi J. Pitliya, Conor Heins, Brennan Klein, Beren Millidge, Dalton A. R. Sakthivadivel, Toby St Clere Smithe, Magnus T. Koudahl, Safae Essafi Tremblay, Capm Petersen, Kaiser Fung, Jason G. Fox, Steven Swanson, Dan Mapes, Gabriel René
Designing Ecosystems of Intelligence from First Principles. CoRR (2022)
Tomasz Korbak, Ethan Perez, Christopher L. Buckley
RL with KL penalties is better viewed as Bayesian inference. CoRR (2022)
Magnus T. Koudahl, Christopher L. Buckley, Bert de Vries
A Message Passing Perspective on Planning Under Active Inference. IWAI (2022)
Miguel Aguilera, Ángel Poc-López, Conor Heins, Christopher L. Buckley
Knitting a Markov Blanket is Hard When You are Out-of-Equilibrium: Two Examples in Canonical Nonequilibrium Models. IWAI (2022)
Alex B. Kiefer, Beren Millidge, Alexander Tschantz, Christopher L. Buckley
Capsule Networks as Generative Models. IWAI (2022)
Pablo Lanillos, Cristian Meo, Corrado Pezzato, Ajith Anil Meera, Mohamed Baioumy, Wataru Ohata, Alexander Tschantz, Beren Millidge, Martijn Wisse, Christopher L. Buckley, Jun Tani
Active Inference in Robotics and Artificial Agents: Survey and Challenges. CoRR (2021)
Beren Millidge, Alexander Tschantz, Anil K. Seth, Christopher L. Buckley
Understanding the origin of information-seeking exploration in probabilistic objectives for control. CoRR (2021)
Paul F. Kinghorn, Beren Millidge, Christopher L. Buckley
Habitual and Reflective Control in Hierarchical Predictive Coding. PKDD/ECML Workshops (1) (2021)
Beren Millidge, Anil K. Seth, Christopher L. Buckley
Predictive Coding: a Theoretical and Experimental Review. CoRR (2021)
Beren Millidge, Anil K. Seth, Christopher L. Buckley
A Mathematical Walkthrough and Discussion of the Free Energy Principle. CoRR (2021)
Beren Millidge, Alexander Tschantz, Christopher L. Buckley
Whence the Expected Free Energy? Neural Comput. 33 (2) (2021)
Beren Millidge, Alexander Tschantz, Anil K. Seth, Christopher L. Buckley
Neural Kalman Filtering. CoRR (2021)
Paul F. Kinghorn, Beren Millidge, Christopher L. Buckley
Habitual and Reflective Control in Hierarchical Predictive Coding. CoRR (2021)
Beren Millidge, Alexander Tschantz, Anil K. Seth, Christopher L. Buckley
Reinforcement Learning as Iterative and Amortised Inference. CoRR (2020)
Manuel Baltieri, Christopher L. Buckley, Jelle P. Bruineberg
Predictions in the eye of the beholder: an active inference account of Watt governors. ALIFE (2020)
Beren Millidge, Alexander Tschantz, Anil K. Seth, Christopher L. Buckley
Activation Relaxation: A Local Dynamical Approximation to Backpropagation in the Brain. CoRR (2020)
Beren Millidge, Alexander Tschantz, Anil K. Seth, Christopher L. Buckley
Relaxing the Constraints on Predictive Coding Models. CoRR (2020)
Alexander Tschantz, Anil K. Seth, Christopher L. Buckley
Learning action-oriented models through active inference. PLoS Comput. Biol. 16 (4) (2020)
Alexander Tschantz, Beren Millidge, Anil K. Seth, Christopher L. Buckley
Control as Hybrid Inference. CoRR (2020)
Beren Millidge, Alexander Tschantz, Anil K. Seth, Christopher L. Buckley
On the Relationship Between Active Inference and Control as Inference. CoRR (2020)
Beren Millidge, Alexander Tschantz, Anil K. Seth, Christopher L. Buckley
Investigating the Scalability and Biological Plausibility of the Activation Relaxation Algorithm. CoRR (2020)
Beren Millidge, Alexander Tschantz, Christopher L. Buckley
Predictive Coding Approximates Backprop along Arbitrary Computation Graphs. CoRR (2020)
Beren Millidge, Alexander Tschantz, Anil K. Seth, Christopher L. Buckley
On the Relationship Between Active Inference and Control as Inference. IWAI (2020)
Alexander Tschantz, Manuel Baltieri, Anil K. Seth, Christopher L. Buckley
Scaling Active Inference. IJCNN (2020)
Beren Millidge, Alexander Tschantz, Christopher L. Buckley
Whence the Expected Free Energy? CoRR (2020)
Alexander Tschantz, Beren Millidge, Anil K. Seth, Christopher L. Buckley
Reinforcement Learning through Active Inference. CoRR (2020)
Manuel Baltieri, Christopher L. Buckley
PID Control as a Process of Active Inference with Linear Generative Models. Entropy 21 (3) (2019)
Manuel Baltieri, Christopher L. Buckley
Nonmodular Architectures of Cognitive Systems based on Active Inference. IJCNN (2019)
Manuel Baltieri, Christopher L. Buckley
Generative models as parsimonious descriptions of sensorimotor loops. CoRR (2019)
Alexander Tschantz, Manuel Baltieri, Anil K. Seth, Christopher L. Buckley
Scaling active inference. CoRR (2019)
Manuel Baltieri, Christopher L. Buckley
Nonmodular architectures of cognitive systems based on active inference. CoRR (2019)
Manuel Baltieri, Christopher L. Buckley
The dark room problem in predictive processing and active inference, a legacy of cognitivism? ALIFE (2019)
Manuel Baltieri, Christopher L. Buckley
A Probabilistic Interpretation of PID Controllers Using Active Inference. SAB (2018)
Manuel Baltieri, Christopher L. Buckley
The modularity of action and perception revisited using control theory and active inference. ALIFE (2018)
Christopher L. Buckley, Taro Toyoizumi
A theory of how active behavior stabilises neural activity: Neural gain modulation by closed-loop environmental feedback. PLoS Comput. Biol. 14 (1) (2018)
Manuel Baltieri, Christopher L. Buckley
An active inference implementation of phototaxis. ECAL (2017)
Simon McGregor, Manuel Baltieri, Christopher L. Buckley
A Minimal Active Inference Agent. CoRR (2015)
Richard A. Watson, Christopher L. Buckley, Rob Mills
Optimization in "self-modeling" complex adaptive systems. Complex. 16 (5) (2011)
Adam P. Davies, Richard A. Watson, Rob Mills, Christopher L. Buckley, Jason Noble
"If You Can't Be With the One You Love, Love the One You're With": How Individual Habituation of Agent Interactions Improves Global Utility. Artif. Life 17 (3) (2011)
Richard A. Watson, Rob Mills, Christopher L. Buckley
Transformations in the scale of behavior and the global optimization of constraints in adaptive networks. Adapt. Behav. 19 (4) (2011)
Richard A. Watson, Rob Mills, Christopher L. Buckley
Global Adaptation in Networks of Selfish Components: Emergent Associative Memory at the System Scale. Artif. Life 17 (3) (2011)
Richard A. Watson, Rob Mills, Christopher L. Buckley
Transformations and multi-scale optimisation in biological adaptive networks. ECAL (2011)
Richard A. Watson, Rob Mills, Christopher L. Buckley, Simon T. Powers, Alexandra S. Penn, Adam P. Davies, Jason Noble, Seth Bullock
Adaptation without Natural Selection. ALIFE (2010)
Christopher L. Buckley, Seth Bullock, Lionel C. Barnett
Spatially embedded dynamics and complexity. Complex. 16 (2) (2010)
Philip Husbands, Andrew Philippides, Patrícia Amâncio Vargas, Christopher L. Buckley, Peter Fine, Ezequiel A. Di Paolo, Michael O'Shea
Spatial, temporal, and modulatory factors affecting GasNet evolvability in a visually guided robotics task. Complex. 16 (2) (2010)
Adam P. Davies, Richard A. Watson, Rob Mills, Christopher L. Buckley, Jason Noble
If You Can't Be With the One You Love, Love the One You're With - How Individual Habituation of Agent Interactions Improves Global Utility. ALIFE (2010)
Richard A. Watson, Christopher L. Buckley, Rob Mills, Adam P. Davies
Associative Memory in Gene Regulation Networks. ALIFE (2010)
Christopher L. Buckley, Lionel C. Barnett, Seth Bullock
Dynamical complexity of spatially embedded networks. ALIFE (2008)
Christopher L. Buckley, Seth Bullock
Sensitivity and stability: A signal propagation sweet spot in a sheet of recurrent centre crossing neurons. Biosyst. 94 (1-2) (2008)
Christopher L. Buckley, Peter Fine, Seth Bullock, Ezequiel A. Di Paolo
Monostable Controllers for Adaptive Behaviour. SAB (2008)
Christopher L. Buckley, Seth Bullock
Spatial Embedding and Complexity: The Small-World Is Not Enough. ECAL (2007)
Christopher L. Buckley, Seth Bullock, Netta Cohen
Timescale and Stability in Adaptive Behaviour. ECAL (2005)