Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Dopamine-dependent plasticity of corticostriatal synapses
Neural Networks - Computational models of neuromodulation
The computational role of dopamine D1 receptors in working memory
Neural Networks - Computational models of neuromodulation
Opponent interactions between serotonin and dopamine
Neural Networks - Computational models of neuromodulation
Isotropic sequence order learning
Neural Computation
Second Order Conditioning in the Sub-cortical Nuclei of the Limbic System
SAB '08 Proceedings of the 10th international conference on Simulation of Adaptive Behavior: From Animals to Animats
Stabilising hebbian learning with a third factor in a food retrieval task
SAB'06 Proceedings of the 9th international conference on From Animals to Animats: simulation of Adaptive Behavior
Electrolocation of multiple objects based on temporal sweep motions
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
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We present a biologically inspired model of the subcortical nuclei of the limbic system that is capable of performing reversal learning in a food-seeking task. In contrast to previous models, the reversal is modeled by the inhibition of the previously learned behavior. This allows for the reinstatement of behavior to recur quickly, as observed in animal behavior. In this model learning is achieved by implementing isotropic sequence order learning and a third factor (ISO-3) that triggers learning at relevant moments. This third factor is modeled by phasic and tonic dopaminergic activity which respectively enable long-term potentiation to occur during acquisition, and long-term depression (LTD) to occur when adjustments in learned behaviors are required. It will be shown how the nucleus accumbens core uses conditioned reinforcers to invigorate instrumental responding while relatively strong LTD in the shell influences the core through a shell-ventral pallido-mediodorsal pathway. This pathway functions as a feed-forward switching mechanism and enables behavioral flexibility.