efficient-fpt

This repository contains code, examples, and software from the paper:
Efficient Inference in First Passage Time Models.

It implements a fast and flexible numerical method for computing the first passage time density in first passage time models. It is especially suitable for efficient likelihood-based inference in generalized drift diffusion models, commonly used in computational cognitive neuroscience.

More detailed instructions will be available upon publication.

Installation

To install this package, clone this repository to your local machine by

git clone git@github.com:RiverFlowsInYou98/efficient-fpt.git

and run

bash rebuild.sh

License

MIT License

Citation

@article{liu2025efficient,
  title={Efficient Inference in First Passage Time Models},
  author={Liu, Sicheng and Fengler, Alexander and Frank, Michael J and Harrison, Matthew T},
  journal={arXiv preprint arXiv:2503.18381},
  year={2025}
}