Interpretable and Brain-Inspired Recurrent Model of Hierarchical Decision-Making Capturing Trial-by-Trial Variability
Amir Mahmood Mousavi Harris, Sajjad Zabbah, Jamal Esmaily, Reza Ebrahimpour
The paper develops a neurocomputational model of hierarchical decision-making that captures trial-by-trial variability and reproduces human behavioral patterns.