munoztd0 / computational-modelling Goto Github PK

This project consisted in learning a specific data processing method used in the framework of computational modelling, mainly revolved around the notions of model falsification and parameter recovery which are central in a theory-driven approach to modelling.

Methods developped on models from in:

Kool, W., Cushman, F. A., & Gershman, S. J. (2016). When does model-based control pay off?. PLoS computational biology, 12(8), e1005090.

&

Correa, C. M., Noorman, S., Jiang, J., Palminteri, S., Cohen, M. X., Lebreton, M., & van Gaal, S. (2018). How the level of reward awareness changes the computational and electrophysiological signatures of reinforcement learning. Journal of Neuroscience, 38(48), 10338-10348.