Harnessing the flexibility of neural networks to predict dynamic theoretical parameters underlying human choice behavior

Keyphrases

• Neural Network 100%
• Reinforcement Learning 100%
• Human Choice Behaviour 100%
• Theoretical Parameters 100%
• Learning Parameters 100%
• Predictive Power 40%
• Reinforcement Learning Model 40%
• Healthy Controls 20%
• Behavioral Model 20%
• Stress Model 20%
• Human Behavior 20%
• Exploration Strategy 20%
• Neural Network Model 20%
• Descriptive Model 20%
• Unseen 20%
• High Flexibility 20%
• Synthetic Data 20%
• Maximum Likelihood 20%
• Multi-arm Bandit 20%
• Choice Behavior 20%
• Predictive Ability 20%
• Recurrent Neural Network 20%
• Reinforcement Learning Algorithm 20%
• Bandit Problems 20%
• Modeling Paradigms 20%
• Expressiveness 20%
• Artificial Data 20%
• Normative Modeling 20%
• Parameter Dynamics 20%
• Reinforcement Learning Agent 20%

Neuroscience

• Behavior (Neuroscience) 100%
• Neural Network 100%
• Reinforcement Learning 100%
• Human Behavior 11%
• Recurrent Neural Network 11%