Rafal Bogacz

ORCID

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 39

Top Venues

University of Bristol, UK (PHD)

Education History

University of Bristol, UK

PHD

Publications

Tommaso Salvatori, Beren Millidge, Yuhang Song, Rafal Bogacz, Thomas Lukasiewicz
Associative Memories in the Feature Space. CoRR (2024)
Tommaso Salvatori, Yuhang Song, Yordan Yordanov, Beren Millidge, Lei Sha, Cornelius Emde, Zhenghua Xu, Rafal Bogacz, Thomas Lukasiewicz
A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks. ICLR (2024)
Luca Pinchetti, Chang Qi, Oleh Lokshyn, Gaspard Olivers, Cornelius Emde, Mufeng Tang, Amine M'Charrak, Simon Frieder, Bayar Menzat, Rafal Bogacz, Thomas Lukasiewicz, Tommaso Salvatori
Benchmarking Predictive Coding Networks - Made Simple. CoRR (2024)
Mufeng Tang, Helen Barron, Rafal Bogacz
Sequential Memory with Temporal Predictive Coding. CoRR (2023)
Mufeng Tang, Helen Barron, Rafal Bogacz
Sequential Memory with Temporal Predictive Coding. NeurIPS (2023)
Beren Millidge, Yuhang Song, Tommaso Salvatori, Thomas Lukasiewicz, Rafal Bogacz
A Theoretical Framework for Inference and Learning in Predictive Coding Networks. ICLR (2023)
Mufeng Tang, Tommaso Salvatori, Beren Millidge, Yuhang Song, Thomas Lukasiewicz, Rafal Bogacz
Recurrent predictive coding models for associative memory employing covariance learning. PLoS Comput. Biol. 19 (4) (2023)
Tommaso Salvatori, Beren Millidge, Yuhang Song, Rafal Bogacz, Thomas Lukasiewicz
Associative Memories in the Feature Space. ECAI (2023)
Beren Millidge, Yuhang Song, Tommaso Salvatori, Thomas Lukasiewicz, Rafal Bogacz
Backpropagation at the Infinitesimal Inference Limit of Energy-Based Models: Unifying Predictive Coding, Equilibrium Propagation, and Contrastive Hebbian Learning. ICLR (2023)
Beren Millidge, Tommaso Salvatori, Yuhang Song, Rafal Bogacz, Thomas Lukasiewicz
Predictive Coding: Towards a Future of Deep Learning beyond Backpropagation? CoRR (2022)
Beren Millidge, Yuhang Song, Tommaso Salvatori, Thomas Lukasiewicz, Rafal Bogacz
Backpropagation at the Infinitesimal Inference Limit of Energy-Based Models: Unifying Predictive Coding, Equilibrium Propagation, and Contrastive Hebbian Learning. CoRR (2022)
Beren Millidge, Tommaso Salvatori, Yuhang Song, Thomas Lukasiewicz, Rafal Bogacz
Universal Hopfield Networks: A General Framework for Single-Shot Associative Memory Models. CoRR (2022)
Tommaso Salvatori, Luca Pinchetti, Beren Millidge, Yuhang Song, Tianyi Bao, Rafal Bogacz, Thomas Lukasiewicz
Learning on Arbitrary Graph Topologies via Predictive Coding. NeurIPS (2022)
Germain Lefebvre, Christopher Summerfield, Rafal Bogacz
A Normative Account of Confirmation Bias During Reinforcement Learning. Neural Comput. 34 (2) (2022)
Tommaso Salvatori, Luca Pinchetti, Beren Millidge, Yuhang Song, Rafal Bogacz, Thomas Lukasiewicz
Learning on Arbitrary Graph Topologies via Predictive Coding. CoRR (2022)
Tommaso Salvatori, Yuhang Song, Zhenghua Xu, Thomas Lukasiewicz, Rafal Bogacz
Reverse Differentiation via Predictive Coding. AAAI (2022)
Beren Millidge, Yuhang Song, Tommaso Salvatori, Thomas Lukasiewicz, Rafal Bogacz
A Theoretical Framework for Inference and Learning in Predictive Coding Networks. CoRR (2022)
Beren Millidge, Tommaso Salvatori, Yuhang Song, Thomas Lukasiewicz, Rafal Bogacz
Universal Hopfield Networks: A General Framework for Single-Shot Associative Memory Models. ICML (2022)
Moritz Möller, Sanjay G. Manohar, Rafal Bogacz
Uncertainty-guided learning with scaled prediction errors in the basal ganglia. PLoS Comput. Biol. 18 (5) (2022)
Tommaso Salvatori, Yuhang Song, Beren Millidge, Zhenghua Xu, Lei Sha, Cornelius Emde, Rafal Bogacz, Thomas Lukasiewicz
Incremental Predictive Coding: A Parallel and Fully Automatic Learning Algorithm. CoRR (2022)
Beren Millidge, Tommaso Salvatori, Yuhang Song, Rafal Bogacz, Thomas Lukasiewicz
Predictive Coding: Towards a Future of Deep Learning beyond Backpropagation? IJCAI (2022)
Mayela Zamora, Sebastian Meller, Filip Kajin, James J. Sermon, Robert Toth, Moaad Benjaber, Derk-Jan Dijk, Rafal Bogacz, Gregory A. Worrell, Antonio Valentín, Benoit Duchet, Holger A. Volk, Timothy Denison
Embedding digital chronotherapy into medical devices - A canine case study in controlling status epilepticus through multi-scale rhythmic brain stimulation. CoRR (2021)
Tommaso Salvatori, Yuhang Song, Yujian Hong, Lei Sha, Simon Frieder, Zhenghua Xu, Rafal Bogacz, Thomas Lukasiewicz
Associative Memories via Predictive Coding. NeurIPS (2021)
Benoit Duchet, Filippo Ghezzi, Gihan Weerasinghe, Gerd Tinkhauser, Andrea A. Kühn, Peter Brown, Christian Bick, Rafal Bogacz
Average beta burst duration profiles provide a signature of dynamical changes between the ON and OFF medication states in Parkinson's disease. PLoS Comput. Biol. 17 (7) (2021)
Tommaso Salvatori, Yuhang Song, Thomas Lukasiewicz, Rafal Bogacz, Zhenghua Xu
Predictive Coding Can Do Exact Backpropagation on Any Neural Network. CoRR (2021)
Moritz Möller, Jan Grohn, Sanjay Manohar, Rafal Bogacz
An association between prediction errors and risk-seeking: Theory and behavioral evidence. PLoS Comput. Biol. 17 (7) (2021)
Tommaso Salvatori, Yuhang Song, Thomas Lukasiewicz, Rafal Bogacz, Zhenghua Xu
Predictive Coding Can Do Exact Backpropagation on Convolutional and Recurrent Neural Networks. CoRR (2021)
Tommaso Salvatori, Yuhang Song, Yujian Hong, Simon Frieder, Lei Sha, Zhenghua Xu, Rafal Bogacz, Thomas Lukasiewicz
Associative Memories via Predictive Coding. CoRR (2021)
Gihan Weerasinghe, Benoit Duchet, Christian Bick, Rafal Bogacz
Optimal closed-loop deep brain stimulation using multiple independently controlled contacts. PLoS Comput. Biol. 17 (8) (2021)
Yuhang Song, Thomas Lukasiewicz, Zhenghua Xu, Rafal Bogacz
Can the Brain Do Backpropagation? - Exact Implementation of Backpropagation in Predictive Coding Networks. NeurIPS (2020)
Maaike M. H. van Swieten, Rafal Bogacz
Modeling the effects of motivation on choice and learning in the basal ganglia. PLoS Comput. Biol. 16 (5) (2020)
Moritz Möller, Rafal Bogacz
Learning the payoffs and costs of actions. PLoS Comput. Biol. 15 (2) (2019)
Gihan Weerasinghe, Benoit Duchet, Hayriye Cagnan, Peter Brown, Christian Bick, Rafal Bogacz
Predicting the effects of deep brain stimulation using a reduced coupled oscillator model. PLoS Comput. Biol. 15 (8) (2019)
Eduardo Martin Moraud, Gerd Tinkhauser, Mayank Agrawal, Peter Brown, Rafal Bogacz
Predicting beta bursts from local field potentials to improve closed-loop DBS paradigms in Parkinson's patients. EMBC (2018)
Friederike Leimbach, Dejan Georgiev, Vladimir Litvak, Chrystalina Antoniades, Patricia Limousin, Marjan Jahanshahi, Rafal Bogacz
Deep Brain Stimulation of the Subthalamic Nucleus Does Not Affect the Decrease of Decision Threshold during the Choice Process When There Is No Conflict, Time Pressure, or Reward. J. Cogn. Neurosci. 30 (6) (2018)
Nils Kurzawa, Christopher Summerfield, Rafal Bogacz
Neural Circuits Trained with Standard Reinforcement Learning Can Accumulate Probabilistic Information during Decision Making. Neural Comput. 29 (2) (2017)
James C. R. Whittington, Rafal Bogacz
An Approximation of the Error Backpropagation Algorithm in a Predictive Coding Network with Local Hebbian Synaptic Plasticity. Neural Comput. 29 (5) (2017)
John G. Mikhael, Rafal Bogacz
Learning Reward Uncertainty in the Basal Ganglia. PLoS Comput. Biol. 12 (9) (2016)
Rafal Bogacz, Eduardo Martin Moraud, Azzedine Abdi, Peter J. Magill, Jérôme Baufreton
Properties of Neurons in External Globus Pallidus Can Support Optimal Action Selection. PLoS Comput. Biol. 12 (7) (2016)
John Grogan, Rafal Bogacz, Demitra Tsivos, Alan L. Whone, Elizabeth Coulthard
Dopamine and Consolidation of Episodic Memory: Timing Is Everything. J. Cogn. Neurosci. 27 (10) (2015)
Alex Pavlides, Stephen John Hogan, Rafal Bogacz
Computational Models Describing Possible Mechanisms for Generation of Excessive Beta Oscillations in Parkinson's Disease. PLoS Comput. Biol. 11 (12) (2015)
Kevin Lloyd, Nadine Becker, Matthew W. Jones, Rafal Bogacz
Learning to use working memory: a reinforcement learning gating model of rule acquisition in rats. Frontiers Comput. Neurosci. 6 (2012)
Alejo J. Nevado-Holgado, John R. Terry, Rafal Bogacz
Bifurcation analysis points towards the source of beta neuronal oscillations in Parkinson's disease. CDC/ECC (2011)
Andrew Lulham, Rafal Bogacz, Simon Vogt, Malcolm W. Brown
An Infomax Algorithm Can Perform Both Familiarity Discrimination and Feature Extraction in a Single Network. Neural Comput. 23 (4) (2011)
Rafal Bogacz, Tobias Larsen
Integration of Reinforcement Learning and Optimal Decision-Making Theories of the Basal Ganglia. Neural Comput. 23 (4) (2011)
Paul A. Howard-Jones, Rafal Bogacz, Jee H. Yoo, Ute Leonards, Skevi Demetriou
The neural mechanisms of learning from competitors. NeuroImage 53 (2) (2010)
Tobias Larsen, Rafal Bogacz
Initiation and termination of integration in a decision process. Neural Networks 23 (3) (2010)
Tobias Larsen, David S. Leslie, Edmund J. Collins, Rafal Bogacz
Posterior Weighted Reinforcement Learning with State Uncertainty. Neural Comput. 22 (5) (2010)
Jiaxiang Zhang, Rafal Bogacz
Optimal Decision Making on the Basis of Evidence Represented in Spike Trains. Neural Comput. 22 (5) (2010)
Pete Trimmer, John McNamara, Alasdair Houston, James A. R. Marshall, Liz Paul, Rafal Bogacz, Mike Mendl
Mammalian decisions. ALIFE (2008)
Rafal Bogacz, Kevin N. Gurney
The Basal Ganglia and Cortex Implement Optimal Decision Making Between Alternative Actions. Neural Comput. 19 (2) (2007)
Rafal Bogacz
Optimal decision network with distributed representation. Neural Networks 20 (5) (2007)
Eric Brown, Juan Gao, Philip Holmes, Rafal Bogacz, Mark S. Gilzenrat, Jonathan D. Cohen
Simple Neural Networks that Optimize Decisions. Int. J. Bifurc. Chaos 15 (3) (2005)
Philip Holmes, Eric Shea-Brown, Jeff Moehlis, Rafal Bogacz, Juan Gao, Gary Aston-Jones, Ed Clayton, Janusz Rajkowski, Jonathan D. Cohen
Optimal Decisions: From Neural Spikes, through Stochastic Differential Equations, to Behavior. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (10) (2005)
Rafal Bogacz, Malcolm W. Brown
An anti-Hebbian model of familiarity discrimination in the perirhinal cortex. Neurocomputing (2003)
Rafal Bogacz, Malcolm W. Brown
Capacity of perirhinal cortex network for recognising frequently repeating stimuli. Neurocomputing (2002)
Rafal Bogacz, Malcolm W. Brown, Christophe G. Giraud-Carrier
A Familiarity Discrimination Algorithm Inspired by Computations of the Perirhinal Cortex. Emergent Neural Computational Architectures Based on Neuroscience (2001)
Rafal Bogacz, Malcolm W. Brown, Christophe G. Giraud-Carrier
Model of co-operation between recency, familiarity and novelty neurons in the perirhinal cortex. Neurocomputing (2001)
Rafal Bogacz, Malcolm W. Brown, Christophe G. Giraud-Carrier
Model of Familiarity Discrimination in the Perirhinal Cortex. J. Comput. Neurosci. 10 (1) (2001)
Rafal Bogacz, Malcolm W. Brown, Christophe G. Giraud-Carrier
Emergence of Movement Sensitive Neurons' Properties by Learning a Sparse Code for Natural Moving Images. NIPS (2000)
Rafal Bogacz, Malcolm W. Brown, Christophe G. Giraud-Carrier
Frequency-Based Error Back-Propagation in a Cortical Network. IJCNN (2) (2000)
Rafal Bogacz, Christophe G. Giraud-Carrier
A Novel Modular Neural Architecture for Rule-Based and Similarity-Based Reasoning. Hybrid Neural Systems (1998)
Rafal Bogacz, Christophe G. Giraud-Carrier
BRAINN: A Connectionist Approach to Symbolic Reasoning. NC (1998)

Rafal Bogacz.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Rafal Bogacz