Drift-diffusion cognitive models: description, applications and perspectives

Pérez-Parra, Julio Ernesto; Rojas-Líbano, Daniel

Keywords: perceptual decision-making, Diffusion model, sequential accumulator models, cognitive modelling, response time and accuracy

Abstract

Drift-diffusion models (DDM) have been proposed as a way to study unobservable cognitive processes underlying decision-making. DDM have been widely used and developed in psychology and cognitive neuroscience, but there are no general references in Spanish on the subject. The purpose of this review is to develop reference materials for Spanish-speaking researchers, professionals and scholars in the area of cognitive sciences who are interested in the experimental study of decision-making in the psychology and neuroscience fields. It will also explore the standard description of DDM, its parameters, mathematical expression and applications in cognitive tasks. Recent publications in the fields of cognitive psychology and neuroscience that use DDM are reviewed, and their prospects for new and future applications are discussed, in light of current discussions of cognitive processes.

Más información

Título de la Revista: Studies in Psychology
Volumen: 43
Número: 1
Editorial: TAYLOR & FRANCIS AS
Fecha de publicación: 2022
Idioma: Inglés
Financiamiento/Sponsor: Proyecto Fondecyt 11190604.
URL: https://www.tandfonline.com/doi/full/10.1080/02109395.2022.2056802
DOI:

https://doi.org/10.1080/02109395.2022.2056802

Notas: SCOPUS