SequentialSamplingModels.jl: Simulating and Evaluating Cognitive Models of Response Times in Julia

Fuente: arXiv
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Main Authors: Fernandez, Kianté, Makowski, Dominique, Fisher, Christopher
Format: Preprint
Published: 2024
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author Fernandez, Kianté
Makowski, Dominique
Fisher, Christopher
author_facet Fernandez, Kianté
Makowski, Dominique
Fisher, Christopher
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2411_06631
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle SequentialSamplingModels.jl: Simulating and Evaluating Cognitive Models of Response Times in Julia
Fernandez, Kianté
Makowski, Dominique
Fisher, Christopher
Mathematical Software
Neurons and Cognition
Computation
Methodology
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.
title SequentialSamplingModels.jl: Simulating and Evaluating Cognitive Models of Response Times in Julia
topic Mathematical Software
Neurons and Cognition
Computation
Methodology
url https://arxiv.org/abs/2411.06631