Attractor dynamics of working memory explain a concurrent evolution of stimulus-specific and decision-consistent biases in visual estimation

This repository contains the code for Gu et al., (Neuron, 2025).

Setup

Installation

Clone the repository and install the package.

git clone https://github.com/hyunwoogu/dynamic_bias
cd dynamic_bias
pip install -e .

Generating outputs

To generate the analysis results, run the following Makefile commands.

make analysis-behavior
make analysis-ddm
make analysis-fmri
make analysis-rnn

Precomputed data and model weights

To skip analyses and download precomputed outputs and RNN weights, download the following from OSF. Place files under dynamic_bias/data/ and dynamic_bias/models/, respectively.

Data and model weights

Notebooks

To replicate the figures in the paper, run the jupyter notebooks under notebooks/. These automatically download required data, so earlier steps can be skipped.

Citation

@article{gu2025attractor,
  title={Attractor dynamics of working memory explain a concurrent evolution of stimulus-specific and decision-consistent biases in visual estimation},
  author={Gu, Hyunwoo and Lee, Joonwon and Kim, Sungje and Lim, Jaeseob and Lee, Hyang-Jung and Lee, Heeseung and Choe, Minjin and Yoo, Dong-Gyu and Ryu, Jun Hwan (Joshua) and Lim, Sukbin and Lee, Sang-Hun},
  journal={Neuron},
  year={2025},
  publisher={Elsevier}
}