Rafal Bogacz - RankMe

75 papers A* 11A 1C 1Journal 52Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	On the Infinite Width and Depth Limits of Predictive Coding Networks. CoRR Francesco Innocenti, El Mehdi Achour, Rafal Bogacz
2025	A*	`conf`	Benchmarking Predictive Coding Networks - Made Simple. ICLR Luca Pinchetti, Chang Qi, Oleh Lokshyn, Cornelius Emde, Amine M'Charrak, Mufeng Tang, Simon Frieder, Bayar Menzat, Gaspard Oliviers, Rafal Bogacz, Thomas Lukasiewicz, Tommaso Salvatori
2025	J	`jnl`	Bidirectional predictive coding. CoRR Gaspard Oliviers, Mufeng Tang, Rafal Bogacz
2025	J	`jnl`	Error Optimization: Overcoming Exponential Signal Decay in Deep Predictive Coding Networks. CoRR Cédric Goemaere, Gaspard Oliviers, Rafal Bogacz, Thomas Demeester
2025	J	`jnl`	Predictive Coding Model Detects Novelty on Different Levels of Representation Hierarchy. Neural Comput. T. Ed Li, Mufeng Tang, Rafal Bogacz
2024	A*	`conf`	A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks. ICLR Tommaso Salvatori, Yuhang Song, Yordan Yordanov, Beren Millidge, Lei Sha, Cornelius Emde, Zhenghua Xu, Rafal Bogacz, Thomas Lukasiewicz
2024	J	`jnl`	Associative Memories in the Feature Space. CoRR Tommaso Salvatori, Beren Millidge, Yuhang Song, Rafal Bogacz, Thomas Lukasiewicz
2024	J	`jnl`	Benchmarking Predictive Coding Networks - Made Simple. CoRR 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
2024	J	`jnl`	Dopamine encoding of novelty facilitates efficient uncertainty-driven exploration. PLoS Comput. Biol. Yuhao Wang, Armin Lak, Sanjay G. Manohar, Rafal Bogacz
2024	J	`jnl`	Learning probability distributions of sensory inputs with Monte Carlo predictive coding. PLoS Comput. Biol. Gaspard Oliviers, Rafal Bogacz, Alexander Meulemans
2024	J	`jnl`	Predictive coding networks for temporal prediction. PLoS Comput. Biol. Beren Millidge, Mufeng Tang, Mahyar Osanlouy, Nicol S. Harper, Rafal Bogacz
2024	J	`jnl`	Reward Bases: A simple mechanism for adaptive acquisition of multiple reward types. PLoS Comput. Biol. Beren Millidge, Yuhang Song, Armin Lak, Mark E. Walton, Rafal Bogacz
2023	A*	`conf`	A Theoretical Framework for Inference and Learning in Predictive Coding Networks. ICLR Beren Millidge, Yuhang Song, Tommaso Salvatori, Thomas Lukasiewicz, Rafal Bogacz
2023	A	`conf`	Associative Memories in the Feature Space. ECAI Tommaso Salvatori, Beren Millidge, Yuhang Song, Rafal Bogacz, Thomas Lukasiewicz
2023	A*	`conf`	Backpropagation at the Infinitesimal Inference Limit of Energy-Based Models: Unifying Predictive Coding, Equilibrium Propagation, and Contrastive Hebbian Learning. ICLR Beren Millidge, Yuhang Song, Tommaso Salvatori, Thomas Lukasiewicz, Rafal Bogacz
2023	J	`jnl`	Recurrent predictive coding models for associative memory employing covariance learning. PLoS Comput. Biol. Mufeng Tang, Tommaso Salvatori, Beren Millidge, Yuhang Song, Thomas Lukasiewicz, Rafal Bogacz
2023	A*	`conf`	Sequential Memory with Temporal Predictive Coding. NeurIPS Mufeng Tang, Helen Barron, Rafal Bogacz
2023	J	`jnl`	Sequential Memory with Temporal Predictive Coding. CoRR Mufeng Tang, Helen Barron, Rafal Bogacz
2022	J	`jnl`	A Normative Account of Confirmation Bias During Reinforcement Learning. Neural Comput. Germain Lefebvre, Christopher Summerfield, Rafal Bogacz
2022	J	`jnl`	A Theoretical Framework for Inference and Learning in Predictive Coding Networks. CoRR Beren Millidge, Yuhang Song, Tommaso Salvatori, Thomas Lukasiewicz, Rafal Bogacz
2022	J	`jnl`	Backpropagation at the Infinitesimal Inference Limit of Energy-Based Models: Unifying Predictive Coding, Equilibrium Propagation, and Contrastive Hebbian Learning. CoRR Beren Millidge, Yuhang Song, Tommaso Salvatori, Thomas Lukasiewicz, Rafal Bogacz
2022	J	`jnl`	Incremental Predictive Coding: A Parallel and Fully Automatic Learning Algorithm. CoRR Tommaso Salvatori, Yuhang Song, Beren Millidge, Zhenghua Xu, Lei Sha, Cornelius Emde, Rafal Bogacz, Thomas Lukasiewicz
2022	A*	`conf`	Learning on Arbitrary Graph Topologies via Predictive Coding. NeurIPS Tommaso Salvatori, Luca Pinchetti, Beren Millidge, Yuhang Song, Tianyi Bao, Rafal Bogacz, Thomas Lukasiewicz
2022	J	`jnl`	Learning on Arbitrary Graph Topologies via Predictive Coding. CoRR Tommaso Salvatori, Luca Pinchetti, Beren Millidge, Yuhang Song, Rafal Bogacz, Thomas Lukasiewicz
2022	A*	`conf`	Predictive Coding: Towards a Future of Deep Learning beyond Backpropagation? IJCAI Beren Millidge, Tommaso Salvatori, Yuhang Song, Rafal Bogacz, Thomas Lukasiewicz
2022	J	`jnl`	Predictive Coding: Towards a Future of Deep Learning beyond Backpropagation? CoRR Beren Millidge, Tommaso Salvatori, Yuhang Song, Rafal Bogacz, Thomas Lukasiewicz
2022	A*	`conf`	Reverse Differentiation via Predictive Coding. AAAI Tommaso Salvatori, Yuhang Song, Zhenghua Xu, Thomas Lukasiewicz, Rafal Bogacz
2022	J	`jnl`	Uncertainty-guided learning with scaled prediction errors in the basal ganglia. PLoS Comput. Biol. Moritz Möller, Sanjay G. Manohar, Rafal Bogacz
2022	A*	`conf`	Universal Hopfield Networks: A General Framework for Single-Shot Associative Memory Models. ICML Beren Millidge, Tommaso Salvatori, Yuhang Song, Thomas Lukasiewicz, Rafal Bogacz
2022	J	`jnl`	Universal Hopfield Networks: A General Framework for Single-Shot Associative Memory Models. CoRR Beren Millidge, Tommaso Salvatori, Yuhang Song, Thomas Lukasiewicz, Rafal Bogacz
2021	J	`jnl`	An association between prediction errors and risk-seeking: Theory and behavioral evidence. PLoS Comput. Biol. Moritz Möller, Jan Grohn, Sanjay G. Manohar, Rafal Bogacz
2021	A*	`conf`	Associative Memories via Predictive Coding. NeurIPS Tommaso Salvatori, Yuhang Song, Yujian Hong, Lei Sha, Simon Frieder, Zhenghua Xu, Rafal Bogacz, Thomas Lukasiewicz
2021	J	`jnl`	Associative Memories via Predictive Coding. CoRR Tommaso Salvatori, Yuhang Song, Yujian Hong, Simon Frieder, Lei Sha, Zhenghua Xu, Rafal Bogacz, Thomas Lukasiewicz
2021	J	`jnl`	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. Benoit Duchet, Filippo Ghezzi, Gihan Weerasinghe, Gerd Tinkhauser, Andrea A. Kühn, Peter Brown, Christian Bick, Rafal Bogacz
2021	J	`jnl`	Embedding digital chronotherapy into medical devices - A canine case study in controlling status epilepticus through multi-scale rhythmic brain stimulation. CoRR 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
2021	J	`jnl`	Optimal closed-loop deep brain stimulation using multiple independently controlled contacts. PLoS Comput. Biol. Gihan Weerasinghe, Benoit Duchet, Christian Bick, Rafal Bogacz
2021	J	`jnl`	Predictive Coding Can Do Exact Backpropagation on Any Neural Network. CoRR Tommaso Salvatori, Yuhang Song, Thomas Lukasiewicz, Rafal Bogacz, Zhenghua Xu
2021	J	`jnl`	Predictive Coding Can Do Exact Backpropagation on Convolutional and Recurrent Neural Networks. CoRR Tommaso Salvatori, Yuhang Song, Thomas Lukasiewicz, Rafal Bogacz, Zhenghua Xu
2020	A*	`conf`	Can the Brain Do Backpropagation? - Exact Implementation of Backpropagation in Predictive Coding Networks. NeurIPS Yuhang Song, Thomas Lukasiewicz, Zhenghua Xu, Rafal Bogacz
2020	J	`jnl`	Modeling the effects of motivation on choice and learning in the basal ganglia. PLoS Comput. Biol. Maaike M. H. van Swieten, Rafal Bogacz
2019	J	`jnl`	Learning the payoffs and costs of actions. PLoS Comput. Biol. Moritz Möller, Rafal Bogacz
2019	J	`jnl`	Predicting the effects of deep brain stimulation using a reduced coupled oscillator model. PLoS Comput. Biol. Gihan Weerasinghe, Benoit Duchet, Hayriye Cagnan, Peter Brown, Christian Bick, Rafal Bogacz
2018	J	`jnl`	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. Friederike Leimbach, Dejan Georgiev, Vladimir Litvak, Chrystalina Antoniades, Patricia Limousin, Marjan Jahanshahi, Rafal Bogacz
2018	—	`conf`	Predicting beta bursts from local field potentials to improve closed-loop DBS paradigms in Parkinson's patients. EMBC Eduardo Martin Moraud, Gerd Tinkhauser, Mayank Agrawal, Peter Brown, Rafal Bogacz
2017	J	`jnl`	An Approximation of the Error Backpropagation Algorithm in a Predictive Coding Network with Local Hebbian Synaptic Plasticity. Neural Comput. James C. R. Whittington, Rafal Bogacz
2017	J	`jnl`	Neural Circuits Trained with Standard Reinforcement Learning Can Accumulate Probabilistic Information during Decision Making. Neural Comput. Nils Kurzawa, Christopher Summerfield, Rafal Bogacz
2016	J	`jnl`	Learning Reward Uncertainty in the Basal Ganglia. PLoS Comput. Biol. John G. Mikhael, Rafal Bogacz
2016	J	`jnl`	Properties of Neurons in External Globus Pallidus Can Support Optimal Action Selection. PLoS Comput. Biol. Rafal Bogacz, Eduardo Martin Moraud, Azzedine Abdi, Peter J. Magill, Jérôme Baufreton
2015	J	`jnl`	Computational Models Describing Possible Mechanisms for Generation of Excessive Beta Oscillations in Parkinson's Disease. PLoS Comput. Biol. Alex Pavlides, Stephen John Hogan, Rafal Bogacz
2015	J	`jnl`	Dopamine and Consolidation of Episodic Memory: Timing Is Everything. J. Cogn. Neurosci. John Grogan, Rafal Bogacz, Demitra Tsivos, Alan L. Whone, Elizabeth J. Coulthard
2014	—	`ch.`	Basal Ganglia: Beta Oscillations. Encyclopedia of Computational Neuroscience Rafal Bogacz
2014	—	`ch.`	Speed-Accuracy Trade-Off. Encyclopedia of Computational Neuroscience Rafal Bogacz
2012	J	`jnl`	Learning to use working memory: a reinforcement learning gating model of rule acquisition in rats. Frontiers Comput. Neurosci. Kevin Lloyd, Nadine Becker, Matthew W. Jones, Rafal Bogacz
2011	J	`jnl`	An Infomax Algorithm Can Perform Both Familiarity Discrimination and Feature Extraction in a Single Network. Neural Comput. Andrew Lulham, Rafal Bogacz, Simon Vogt, Malcolm W. Brown
2011	—	`conf`	Bifurcation analysis points towards the source of beta neuronal oscillations in Parkinson's disease. CDC/ECC Alejo J. Nevado-Holgado, John R. Terry, Rafal Bogacz
2011	J	`jnl`	Integration of Reinforcement Learning and Optimal Decision-Making Theories of the Basal Ganglia. Neural Comput. Rafal Bogacz, Tobias Larsen
2010	J	`jnl`	Initiation and termination of integration in a decision process. Neural Networks Tobias Larsen, Rafal Bogacz
2010	J	`jnl`	Optimal Decision Making on the Basis of Evidence Represented in Spike Trains. Neural Comput. Jiaxiang Zhang, Rafal Bogacz
2010	J	`jnl`	Posterior Weighted Reinforcement Learning with State Uncertainty. Neural Comput. Tobias Larsen, David S. Leslie, Edmund J. Collins, Rafal Bogacz
2010	J	`jnl`	The neural mechanisms of learning from competitors. NeuroImage Paul A. Howard-Jones, Rafal Bogacz, Jee H. Yoo, Ute Leonards, Skevi Demetriou
2008	C	`conf`	Mammalian decisions. ALIFE Pete Trimmer, John McNamara, Alasdair Houston, James A. R. Marshall, Liz Paul, Rafal Bogacz, Mike Mendl
2007	J	`jnl`	Optimal decision network with distributed representation. Neural Networks Rafal Bogacz
2007	J	`jnl`	The Basal Ganglia and Cortex Implement Optimal Decision Making Between Alternative Actions. Neural Comput. Rafal Bogacz, Kevin N. Gurney
2005	J	`jnl`	Optimal Decisions: From Neural Spikes, through Stochastic Differential Equations, to Behavior. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. Philip Holmes, Eric Shea-Brown, Jeff Moehlis, Rafal Bogacz, Juan Gao, Gary Aston-Jones, Ed Clayton, Janusz Rajkowski, Jonathan D. Cohen
2005	J	`jnl`	Simple Neural Networks that Optimize Decisions. Int. J. Bifurc. Chaos Eric Brown, Juan Gao, Philip Holmes, Rafal Bogacz, Mark S. Gilzenrat, Jonathan D. Cohen
2003	J	`jnl`	An anti-Hebbian model of familiarity discrimination in the perirhinal cortex. Neurocomputing Rafal Bogacz, Malcolm W. Brown
2002	J	`jnl`	Capacity of perirhinal cortex network for recognising frequently repeating stimuli. Neurocomputing Rafal Bogacz, Malcolm W. Brown
2001	—	`conf`	A Familiarity Discrimination Algorithm Inspired by Computations of the Perirhinal Cortex. Emergent Neural Computational Architectures Based on Neuroscience Rafal Bogacz, Malcolm W. Brown, Christophe G. Giraud-Carrier
2001	—	`—`	Computational models of familiarity discrimination in the perirhinal cortex. Rafal Bogacz
2001	J	`jnl`	Model of Familiarity Discrimination in the Perirhinal Cortex. J. Comput. Neurosci. Rafal Bogacz, Malcolm W. Brown, Christophe G. Giraud-Carrier
2001	J	`jnl`	Model of co-operation between recency, familiarity and novelty neurons in the perirhinal cortex. Neurocomputing Rafal Bogacz, Malcolm W. Brown, Christophe G. Giraud-Carrier
2000	—	`conf`	Emergence of Movement Sensitive Neurons' Properties by Learning a Sparse Code for Natural Moving Images. NIPS Rafal Bogacz, Malcolm W. Brown, Christophe G. Giraud-Carrier
2000	—	`conf`	Frequency-Based Error Back-Propagation in a Cortical Network. IJCNN (2) Rafal Bogacz, Malcolm W. Brown, Christophe G. Giraud-Carrier
1998	—	`conf`	A Novel Modular Neural Architecture for Rule-Based and Similarity-Based Reasoning. Hybrid Neural Systems Rafal Bogacz, Christophe G. Giraud-Carrier
1998	—	`conf`	BRAINN: A Connectionist Approach to Symbolic Reasoning. NC Rafal Bogacz, Christophe G. Giraud-Carrier