A Neural Circuit Framework for Economic Choice

This repository contains the code associated with the manuscript:

A neural circuit framework for economic choice: from building blocks of valuation to compositionality in multitasking
Aldo Battista, Camillo Padoa-Schioppa, and Xiao-Jing Wang
bioRxiv (2025)

Description

This project provides the computational models and simulated data used to investigate the neural circuit mechanisms of value-based decision-making.

Code

The repository includes two primary Python scripts:

• network_training.py: This script contains the code to train the recurrent neural network model on the economic choice tasks described in the paper.

• data_generation.py: This script loads the pre-trained network models and generates the behavioral and neural activity data used for all analyses and figures presented in the paper.

Citation

If you use this code or data in your research, please cite our paper:

[Battista, Aldo, Camillo Padoa-Schioppa, and Xiao-Jing Wang. "A Neural Circuit Framework for Economic Choice: From Building Blocks of Valuation to Compositionality in Multitasking." bioRxiv (2025).]