A neurocomputational model of dopamine and prefrontal-striatal interactions during multicue category learning by Parkinson patients

Keyphrases

• Dopamine 100%
• Parkinson Patients 100%
• Striatal 100%
• Prefrontal Cortex 100%
• Category Learning 100%
• Neurocomputational Model 100%
• Multi-cue 100%
• Phasic Dopamine 83%
• Basal Ganglia 66%
• Dopamine Level 66%
• Parkinson's Disease 50%
• Reinforcement Learning 50%
• Stimulus Selection 50%
• Attention Learning 33%
• Neural Mechanisms 33%
• Dopamine Medication 33%
• Competitive Dynamics 33%
• Motor Learning 16%
• Selection Strategy 16%
• Attentional Set-shifting 16%
• Attentional Resources 16%
• Dopaminergic Pathway 16%
• Disease Foci 16%
• Brain Structure 16%
• Action Selection 16%
• Probabilistic Category Learning 16%
• Unmedicated 16%
• Redundant Cues 16%
• Striatal Neurons 16%
• Cortex Neurons 16%
• Weather Prediction Task 16%
• New Computational Model 16%

Neuroscience

• Prefrontal Cortex 100%
• Parkinson's Disease 83%
• Basal Ganglia 66%
• Reinforcement Learning 50%
• Motor Learning 16%

Psychology

• Prefrontal Cortex 100%
• Basal Ganglion 66%