Rafal Bogacz

According to our database1, Rafal Bogacz authored at least 33 papers between 1998 and 2018.

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Bibliography

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. Cognitive Neuroscience, 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 Computation, 2017

Neural Circuits Trained with Standard Reinforcement Learning Can Accumulate Probabilistic Information during Decision Making.
Neural Computation, 2017

2016
Learning Reward Uncertainty in the Basal Ganglia.
PLoS Computational Biology, 2016

Properties of Neurons in External Globus Pallidus Can Support Optimal Action Selection.
PLoS Computational Biology, 2016

2015
Computational Models Describing Possible Mechanisms for Generation of Excessive Beta Oscillations in Parkinson's Disease.
PLoS Computational Biology, 2015

Dopamine and Consolidation of Episodic Memory: Timing Is Everything.
J. Cognitive Neuroscience, 2015

2014
Speed-Accuracy Trade-Off.
Proceedings of the Encyclopedia of Computational Neuroscience, 2014

Basal Ganglia: Beta Oscillations.
Proceedings of the Encyclopedia of Computational Neuroscience, 2014

2012
Learning to use working memory: a reinforcement learning gating model of rule acquisition in rats.
Front. Comput. Neurosci., 2012

2011
An Infomax Algorithm Can Perform Both Familiarity Discrimination and Feature Extraction in a Single Network.
Neural Computation, 2011

Integration of Reinforcement Learning and Optimal Decision-Making Theories of the Basal Ganglia.
Neural Computation, 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
Initiation and termination of integration in a decision process.
Neural Networks, 2010

The neural mechanisms of learning from competitors.
NeuroImage, 2010

Optimal Decision Making on the Basis of Evidence Represented in Spike Trains.
Neural Computation, 2010

Posterior Weighted Reinforcement Learning with State Uncertainty.
Neural Computation, 2010

2008
Mammalian decisions.
Proceedings of the Artificial Life XI: Proceedingshe of the Eleventh International Conference on the Synthesis and Simulation of Living Systems, 2008

2007
Optimal decision network with distributed representation.
Neural Networks, 2007

The Basal Ganglia and Cortex Implement Optimal Decision Making Between Alternative Actions.
Neural Computation, 2007

2005
Simple Neural Networks that Optimize Decisions.
I. J. Bifurcation and Chaos, 2005

Optimal Decisions: From Neural Spikes, through Stochastic Differential Equations, to Behavior.
IEICE Transactions, 2005

2003
An anti-Hebbian model of familiarity discrimination in the perirhinal cortex.
Neurocomputing, 2003

2002
Capacity of perirhinal cortex network for recognising frequently repeating stimuli.
Neurocomputing, 2002

2001
Computational models of familiarity discrimination in the perirhinal cortex.
PhD thesis, 2001

Model of Familiarity Discrimination in the Perirhinal Cortex.
Journal of Computational Neuroscience, 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

Frequency-Based Error Back-Propagation in a Cortical Network.
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

A Novel Modular Neural Architecture for Rule-Based and Similarity-Based Reasoning.
Proceedings of the Hybrid Neural Systems, 1998


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