A general recurrent state space framework for modeling neural dynamics during decision-making

Keyphrases

• Neural Activity 100%
• Neural Dynamics 100%
• State-space Framework 100%
• Recurrent States 100%
• Two Dimensional 50%
• Computational Neuroscience 50%
• Parietal Cortex 50%
• Model Fitting 50%
• Monkey 50%
• Drift-diffusion Model 50%
• Neural Circuits 50%
• Decision Task 50%
• Decision Model 50%
• State-space Model 50%
• Neural Data 50%
• Lower Boundary 50%
• Laplace 50%
• Variational 50%
• Systems Neuroscience 50%
• Spike Response 50%
• Variable Boundary 50%
• Accumulator Model 50%
• Decision-making Theory 50%
• Collision Boundary 50%
• Modeling Approaches 50%
• Inference Algorithms 50%
• Discrete Jumps 50%
• Random-dot Motion Task 50%
• Boundary Jump 50%

Computer Science

• State Space 100%
• Decision-Making 100%
• Diffusion Model 25%
• Accumulator Model 25%

Neuroscience

• Decision-Making 100%
• Parietal Cortex 25%
• Neuroscience 25%
• Neural Circuit 25%