Adaptive timing in neural networks: the conditioned response
Biological Cybernetics
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
A model of corticostriatal plasticity for learning oculomotor associations and sequences
Journal of Cognitive Neuroscience
TD Models of reward predictive responses in dopamine neurons
Neural Networks - Computational models of neuromodulation
An integrative theory of the phasic and tonic modes of dopamine modulation in the prefrontal cortex
Neural Networks - Computational models of neuromodulation
Neuromodulation and Plasticity in an autonomous robot
Neural Networks - Computational models of neuromodulation
Timed delivery of reward signals in an autonomous robot
ICSAB Proceedings of the seventh international conference on simulation of adaptive behavior on From animals to animats
Isotropic sequence order learning
Neural Computation
A generic architecture for adaptive agents based on reinforcement learning
Information Sciences—Informatics and Computer Science: An International Journal - Special issue: Bio-inspired systems (BIS)
Actor-Critic Models of Reinforcement Learning in the Basal Ganglia: From Natural to Artificial Rats
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
A Model of Prefrontal Cortex Dopaminergic Modulation during the Delayed Alternation Task
Journal of Cognitive Neuroscience
Modeling embodied visual behaviors
ACM Transactions on Applied Perception (TAP)
On the Role of Dopamine in Cognitive Vision
Attention in Cognitive Systems. Theories and Systems from an Interdisciplinary Viewpoint
A spiking neural network model of an actor-critic learning agent
Neural Computation
Journal of Cognitive Neuroscience
Architecture of behavior-based and robotics self-optimizing memory controller
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
A computational study of pre-synaptic re-uptake of dopamine on phosphorylation of DARPP-32
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Hyperbolically discounted temporal difference learning
Neural Computation
Modeling the brain's operating system
BVAI'05 Proceedings of the First international conference on Brain, Vision, and Artificial Intelligence
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Anticipatory neural activity preceding behaviorally important events has been reported in cortex, striatum, and midbrain dopamine neurons. Whereas dopamine neurons are phasically activated by reward-predictive stimuli, anticipatory activity of cortical and striatal neurons is increased during delay periods before important events. Characteristics of dopamine neuron activity resemble those of the prediction error signal of the temporal difference (TD) model of Pavlovian learning (Sutton & Barto, 1990). This study demonstrates that the prediction signal of the TD model reproduces characteristics of cortical and striatal anticipatory neural activity. This finding suggests that tonic anticipatory activities may reflect prediction signals that are involved in the processing of dopamine neuron activity.