Reinforcement Learning Using a Continuous Time Actor-Critic Framework with Spiking Neurons

Neuron-type-specific signals for reward and punishment in the ventral tegmental area

(2012) Jeremiah Y. Cohen et al.   NATURE

Activation of Dorsal Raphe Serotonin Neurons Underlies Waiting for Delayed Rewards

(2011) K. Miyazaki et al.   JOURNAL OF NEUROSCIENCE

Theta Phase Precession in Rat Ventral Striatum Links Place and Reward Information

(2011) M. A. A. van der Meer et al.   JOURNAL OF NEUROSCIENCE

An Imperfect Dopaminergic Error Signal Can Drive Temporal-Difference Learning

(2011) Wiebke Potjans et al.   PLoS Computational Biology

Functional Requirements for Reward-Modulated Spike-Timing-Dependent Plasticity

(2010) N. Fremaux et al.   JOURNAL OF NEUROSCIENCE

A Reward-Modulated Hebbian Learning Rule Can Explain Experimentally Observed Network Reorganization in a Brain Control Task

(2010) R. Legenstein et al.   JOURNAL OF NEUROSCIENCE

Gain in sensitivity and loss in temporal contrast of STDP by dopaminergic modulation at hippocampal synapses

(2009) J.-C. Zhang et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Is there a geometric module for spatial orientation? Insights from a rodent navigation model.

(2009) Denis Sheynikhovich et al.   PSYCHOLOGICAL REVIEW

Spike-Based Reinforcement Learning in Continuous State and Action Space: When Policy Gradient Methods Fail

(2009) Eleni Vasilaki et al.   PLoS Computational Biology

Reward-Dependent Modulation of Neuronal Activity in the Primate Dorsal Raphe Nucleus

(2008) K. Nakamura et al.   JOURNAL OF NEUROSCIENCE

Dopamine Receptor Activation Is Required for Corticostriatal Spike-Timing-Dependent Plasticity

(2008) V. Pawlak et al.   JOURNAL OF NEUROSCIENCE

A Spiking Neural Network Model of an Actor-Critic Learning Agent

(2008) Wiebke Potjans et al.   NEURAL COMPUTATION

Tag-Trigger-Consolidation: A Model of Early and Late Long-Term-Potentiation and Depression

(2008) Claudia Clopath et al.   PLoS Computational Biology

Robustness of Learning That Is Based on Covariance-Driven Synaptic Plasticity

(2008) Yonatan Loewenstein   PLoS Computational Biology

A Learning Theory for Reward-Modulated Spike-Timing-Dependent Plasticity with Application to Biofeedback

(2008) Robert Legenstein et al.   PLoS Computational Biology