Cargando…
The diffusion model visualizer: an interactive tool to understand the diffusion model parameters
Response time (RT) data play an important role in psychology. The diffusion model (DM) allows to analyze RT-data in a two-alternative-force-choice paradigm using a particle drift diffusion modeling approach. It accounts for right-skewed distributions in a natural way. However, the model incorporates...
Autor principal: | Alexandrowicz, Rainer W. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7239816/ https://www.ncbi.nlm.nih.gov/pubmed/30361811 http://dx.doi.org/10.1007/s00426-018-1112-6 |
Ejemplares similares
-
Comparing Eight Parameter Estimation Methods for the Ratcliff Diffusion Model Using Free Software
por: Alexandrowicz, Rainer W., et al.
Publicado: (2020) -
Problems when fixing the response bias parameter z in drift diffusion analysis: A Commentary on Stafford et al. (2020)
por: Alexandrowicz, Rainer W., et al.
Publicado: (2022) -
Parameter estimation in fractional diffusion models
por: Kubilius, Kęstutis, et al.
Publicado: (2017) -
Improving parameter recovery for conflict drift-diffusion models
por: Hübner, Ronald, et al.
Publicado: (2020) -
Information diffusion modeling and analysis for socially interacting networks
por: Kumar, Pawan, et al.
Publicado: (2021)