Rafal Bogacz
Orcid: 0000-0002-8994-1661
According to our database1,
Rafal Bogacz
authored at least 57 papers
between 1998 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2023
Recurrent predictive coding models for associative memory employing covariance learning.
PLoS Comput. Biol., 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Backpropagation at the Infinitesimal Inference Limit of Energy-Based Models: Unifying Predictive Coding, Equilibrium Propagation, and Contrastive Hebbian Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023
2022
PLoS Comput. Biol., 2022
Neural Comput., 2022
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Universal Hopfield Networks: A General Framework for Single-Shot Associative Memory Models.
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Optimal closed-loop deep brain stimulation using multiple independently controlled contacts.
PLoS Comput. Biol., 2021
An association between prediction errors and risk-seeking: Theory and behavioral evidence.
PLoS Comput. Biol., 2021
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., 2021
Embedding digital chronotherapy into medical devices - A canine case study in controlling status epilepticus through multi-scale rhythmic brain stimulation.
CoRR, 2021
Predictive Coding Can Do Exact Backpropagation on Convolutional and Recurrent Neural Networks.
CoRR, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
2020
PLoS Comput. Biol., 2020
Can the Brain Do Backpropagation? - Exact Implementation of Backpropagation in Predictive Coding Networks.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
2019
Predicting the effects of deep brain stimulation using a reduced coupled oscillator model.
PLoS Comput. Biol., 2019
2018
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., 2018
Predicting beta bursts from local field potentials to improve closed-loop DBS paradigms in Parkinson's patients.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
2017
An Approximation of the Error Backpropagation Algorithm in a Predictive Coding Network with Local Hebbian Synaptic Plasticity.
Neural Comput., 2017
Neural Circuits Trained with Standard Reinforcement Learning Can Accumulate Probabilistic Information during Decision Making.
Neural Comput., 2017
2016
Properties of Neurons in External Globus Pallidus Can Support Optimal Action Selection.
PLoS Comput. Biol., 2016
2015
Computational Models Describing Possible Mechanisms for Generation of Excessive Beta Oscillations in Parkinson's Disease.
PLoS Comput. Biol., 2015
J. Cogn. Neurosci., 2015
2014
Proceedings of the Encyclopedia of Computational Neuroscience, 2014
Proceedings of the Encyclopedia of Computational Neuroscience, 2014
2012
Learning to use working memory: a reinforcement learning gating model of rule acquisition in rats.
Frontiers Comput. Neurosci., 2012
2011
An Infomax Algorithm Can Perform Both Familiarity Discrimination and Feature Extraction in a Single Network.
Neural Comput., 2011
Integration of Reinforcement Learning and Optimal Decision-Making Theories of the Basal Ganglia.
Neural Comput., 2011
Bifurcation analysis points towards the source of beta neuronal oscillations in Parkinson's disease.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011
2010
Neural Networks, 2010
Neural Comput., 2010
Neural Comput., 2010
2008
Proceedings of the Eleventh International Conference on the Synthesis and Simulation of Living Systems, 2008
2007
The Basal Ganglia and Cortex Implement Optimal Decision Making Between Alternative Actions.
Neural Comput., 2007
2005
Optimal Decisions: From Neural Spikes, through Stochastic Differential Equations, to Behavior.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2005
2003
Neurocomputing, 2003
2002
Neurocomputing, 2002
2001
PhD thesis, 2001
J. Comput. Neurosci., 2001
Model of co-operation between recency, familiarity and novelty neurons in the perirhinal cortex.
Neurocomputing, 2001
A Familiarity Discrimination Algorithm Inspired by Computations of the Perirhinal Cortex.
Proceedings of the Emergent Neural Computational Architectures Based on Neuroscience, 2001
2000
Emergence of Movement Sensitive Neurons' Properties by Learning a Sparse Code for Natural Moving Images.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000
1998
BRAINN: A Connectionist Approach to Symbolic Reasoning.
Proceedings of the International ICSC / IFAC Symposium on Neural Computation (NC 1998), 1998
Proceedings of the Hybrid Neural Systems, 1998