GLAMbox: A Python toolbox for investigating the association between gaze allocation and decision behaviour

Gaze bias differences capture individual choice behaviour

(2019) Armin W. Thomas et al.   Nature Human Behaviour

The Attentional Drift Diffusion Model of Simple Perceptual Decision-Making

(2017) Gabriela Tavares et al.   Frontiers in Neuroscience

Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC

(2016) Aki Vehtari et al.   STATISTICS AND COMPUTING

Gaze data reveal distinct choice processes underlying model-based and model-free reinforcement learning

(2016) Arkady Konovalov et al.   Nature Communications

How prior preferences determine decision-making frames and biases in the human brain

(2016) Alizée Lopez-Persem et al.   eLife

Biasing moral decisions by exploiting the dynamics of eye gaze

(2015) Philip Pärnamets et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Testing necessary regional frontal contributions to value assessment and fixation-based updating

(2015) Avinash R. Vaidya et al.   Nature Communications

HDDM: Hierarchical Bayesian estimation of the Drift-Diffusion Model in Python

(2013) Thomas V. Wiecki et al.   Frontiers in Neuroinformatics

Multialternative drift-diffusion model predicts the relationship between visual fixations and choice in value-based decisions

(2011) I. Krajbich et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Visual fixations and the computation and comparison of value in simple choice

(2010) Ian Krajbich et al.   NATURE NEUROSCIENCE