A unified interface for simulating and evaluating sequential sampling models in Julia.

spatial_attenNCM (Spatial Attention Neuro-Cognitive Modeling) used some hierarchical neuro-cognitive models to find out the spatial attention effect on perceptual decision making.

A Julia library for fitting DDMs to pulse-based evidence accumulations task data

DDM Journal Club in China

The repository describing, simulating and fitting the nl-DDM to different datasets.

We provide a semi-automated Python workflow for reproducible BIDS-EEG and computational modelling analysis. It includes preprocessing, optimized ICA, spectral and ERP/IAF analyses, and hierarchical drift-diffusion modelling (HSSM) linking neural, experimental, and clinical measures to latent decision processes, all configured in one JSON file.

Analyses scripts used for Algermissen, J. & den Ouden, H. E. M. (2024). High stakes slow responding, but do not help overcome Pavlovian biases in humans. Learning & Memory.

Code for "Risk and loss aversion and attitude to COVID and vaccines in anxious individuals" by Ferrari, Alexander and Seriès (2023).

A Streamlit-based interactive visualization of the Drift Diffusion Model (DDM)

Code for "Two Systems, Two Timelines" (Zhang, Gong, & Zhao, accepted at Child Development): GAM + HDDM analysis of inhibitory control development in 2,148 Chinese children/adolescents.

Computational modeling pipeline integrating pupillometry, behavioral data, and drift diffusion models (DDM) to understand the relationship between brain arousal and decision-making processes.

VNS Course Project

Development of an R package for Bayesian estimation of drift diffusion item response theory models