Modeling sensorimotor learning in striatal projection neurons (1998).

Content Provider	CiteSeerX
Author	Suri, R. E. Arbib, M. A.
Abstract	INTRODUCTION Midbrain dopamine neurons are activated by unpredicted rewards and reward-predicting stimuli, are not influenced by fully predicted rewards, and are depressed by omitted rewards. Thus, they appear to report an error in the prediction of reward (Montague et al. 1996). Reinforcement models have shown that dopamine responses could be used as predictive reinforcement for learning sensorimotor associations (Suri and Schultz 1998). A substrate of such sensorimotor learning may be changes at corticostriatal synapses of striatal medium spiny neurons (Houk et al. 1995). Limbic cortex Neocortex SNr or entopeduncular nucleus (GPi) to 'pre-motor' areas and thalamus Sensorimotor striatum Limbic striatum (predictions) primary reward dopamine neurons (reward prediction errors) sensory stimuli Reward prediction errors signaled by dopamine neuron activity teach the sensorimotor striatum Previous models suggested that reward predictions are computed in the
File Format	PDF
Publisher Date	1998-01-01
Access Restriction	Open
Subject Keyword	Sensorimotor Learning Striatal Projection Neuron Reinforcement Model Thalamus Sensorimotor Striatum Limbic Striatum Striatal Medium Spiny Neuron Omitted Reward Dopamine Response Limbic Cortex Neocortex Snr Introduction Midbrain Dopamine Neuron Sensorimotor Association Stimulus Reward Prediction Error Corticostriatal Synapsis Unpredicted Reward Sensorimotor Striatum Previous Model Reward Dopamine Neuron Reward-predicting Stimulus Entopeduncular Nucleus Reward Prediction Error Predictive Reinforcement Reward Prediction Dopamine Neuron Activity
Content Type	Text