SequentialSamplingModels.jl: Simulating and Evaluating Cognitive Models of Response Times in Julia
Mathematical Software
2025-12-17 v1 Neurons and Cognition
Computation
Methodology
Abstract
Sequential sampling models (SSMs) are a widely used framework describing decision-making as a stochastic, dynamic process of evidence accumulation. SSMs popularity across cognitive science has driven the development of various software packages that lower the barrier for simulating, estimating, and comparing existing SSMs. Here, we present a software tool, SequentialSamplingModels.jl (SSM.jl), designed to make SSM simulations more accessible to Julia users, and to integrate with the Julia ecosystem. We demonstrate the basic use of SSM.jl for simulation, plotting, and Bayesian inference.
Cite
@article{arxiv.2411.06631,
title = {SequentialSamplingModels.jl: Simulating and Evaluating Cognitive Models of Response Times in Julia},
author = {Kianté Fernandez and Dominique Makowski and Christopher Fisher},
journal= {arXiv preprint arXiv:2411.06631},
year = {2025}
}