David M
- Research Program Mentor
PhD Doctor of Philosophy candidate
Expertise
psychology, neuroscience, cognition, reasoning, research methods, computation, statistics, naturalistic behavior, reinforcement learning, neuroeconomics, decision making, memory, navigation, Computational Neuroscience, Decision Making
Project ideas
Comparing organic and artificial neural networks in learning to optimally perform value-based decision making
This project is to design and report on a research project in which a recurrent neural network acts as an agent learning to perform a traditional neuroeconomic choice task. The objective is to understand how the optimized (asymptote) behavior of an RNN reflects the behavior commonly described in the neuroeconomic literature. The implication is to see how well an artificial network described the activity of the organic neural activity recorded from real subjects performing the same task.