Harnessing the flexibility of neural networks to predict dynamic theoretical parameters underlying human choice behavior
Yoav Ger, Eliya Nachmani, Lior Wolf, Nitzan Shahar
This paper introduces a framework combining neural networks with reinforcement learning to predict dynamic theoretical parameters in human choice behavior using synthetic and empirical data.
PLoS Computational Biology · Jan 4, 2024Peer-reviewedNeuroscience