A tutorial on the standard drift diffusion model (DDM) with code in Matlab and ready-to-use functions.
☆11Apr 1, 2017Updated 8 years ago
Alternatives and similar repositories for DriftDiffusion_Matlab
Users that are interested in DriftDiffusion_Matlab are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Repository for example Hierarchical Drift Diffusion Model (HDDM) code using JAGS in R. These scripts provide useful examples for using JA…☆13Oct 23, 2024Updated last year
- Neural drift-diffusion model (NDDM) is a repository to integrate simultaneously both single-trial EEG measures and behavioral performance…☆18Jul 4, 2024Updated last year
- A collection of different Drift Diffusion Models implemented in the probabilistic programming language Stan.☆47Jul 10, 2024Updated last year
- Method to fit the a hierarchical time-varying sequential sampling and an attentional drift diffusion model.☆15May 20, 2021Updated 4 years ago
- Tools and examples for fitting (Hierarchical) Drift Diffusion Models in R☆11Jul 11, 2023Updated 2 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Code and data for Zhang & Gläscher (2020)☆16Aug 27, 2020Updated 5 years ago
- Reinforcement learning + drift-diffusion modeling☆37Jan 8, 2017Updated 9 years ago
- Learning Simulator: A simulation software for animal and human learning☆12Mar 8, 2026Updated 2 weeks ago
- A library intended to simplify use of Bayesian statistics in psychology.☆15Jul 16, 2025Updated 8 months ago
- A place where all demo code and data are stored.☆14Nov 25, 2020Updated 5 years ago
- CHaRTr: An R toolbox for modeling Choices and Response Times in decision-making tasks☆17Feb 15, 2022Updated 4 years ago
- Contains the scripts, pre-trained networks, and data for our paper:☆19Aug 24, 2023Updated 2 years ago
- Computational modeling tutorials for cognitive science☆13Sep 20, 2022Updated 3 years ago
- ggdmc provides tools to conduct Bayesian inference on a range of choice response time models.☆19Oct 29, 2025Updated 4 months ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Python for Neuroscientists course textbook☆13Feb 18, 2026Updated last month
- Code for the figures in the "Ten Simple Rules for Computational Modeling of Behavioral Data" paper.☆106Dec 9, 2019Updated 6 years ago
- Interactive Python course for using the Neurodata Without Borders format☆15May 20, 2019Updated 6 years ago
- R/Cpp implementation of the diffusion process model (Diffusion Model for Conflict Tasks, DMC) presented in Automatic and controlled stimu…☆21Jan 27, 2026Updated last month
- Tutorial on representational similarity analysis for MIND 2018☆24Jul 25, 2018Updated 7 years ago
- Code to download revisions of files from Dropbox, then use texcount to do a word count of them☆10Mar 26, 2016Updated 9 years ago
- DataHigh: A graphical user interface for visualizing and interacting with high-dimensional neural activity☆17Jan 10, 2019Updated 7 years ago
- Graphical user interface (GUI) in MATLAB for analyzing neural ensembles. It is a flexible tool for analyze the population activity from n…☆11Jul 28, 2020Updated 5 years ago
- Matlab-based spike sorter for NEV files☆11Mar 27, 2024Updated last year
- NordVPN Special Discount Offer • AdSave on top-rated NordVPN 1 or 2-year plans with secure browsing, privacy protection, and support for for all major platforms.
- Unsupervised learning coupled with applied factor analysis to the five-factor model (FFM), a taxonomy for personality traits used to desc…☆16Jun 19, 2021Updated 4 years ago
- Repository for example Hierarchical Drift Diffusion Model (HDDM) code using JAGS in Python. These scripts provide useful examples for usi…☆30Mar 13, 2024Updated 2 years ago
- ☆14Jan 23, 2026Updated 2 months ago
- Tutorial talks at the Chinese Open Science Webinar series☆32Aug 31, 2021Updated 4 years ago
- Neural Networks in Cognitive Science☆16Dec 23, 2025Updated 3 months ago
- A docker image for running HDDM with parallel processing in jupyter notebook.☆33Dec 15, 2025Updated 3 months ago
- Overview of the course, syllabus, etc.☆16Jun 4, 2024Updated last year
- Final project for ECE239AS Deep Learning and Neural Network at UCLA, Winter 2019☆11Jul 5, 2024Updated last year
- Repository for code and lab resources for "Neural and Cognitive Models of Adaptive Decision Making" course (2018)☆11Jul 20, 2023Updated 2 years ago
- DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- A Docker workflow to work reproducibly with papaja in RStudio☆10Nov 16, 2021Updated 4 years ago
- Urai AE, de Gee JW, Tsetsos K, Donner TH (2019) Choice history biases subsequent evidence accumulation. eLife☆15Jul 20, 2020Updated 5 years ago
- Automated meta-analysis of event-related potential (ERP) research.☆39Aug 1, 2024Updated last year
- A plugin for the Raphaël JavaScript library that adds draggability to elements and sets (1.0.1)☆46Nov 16, 2010Updated 15 years ago
- Easylearn is designed for machine learning mainly in resting-state fMRI, radiomics and other fields (such as EEG). Easylearn is built on …☆38Mar 10, 2023Updated 3 years ago
- R package with functions to improve research workflow https://hauselin.github.io/hausekeep/☆10Jan 19, 2023Updated 3 years ago
- R package on Nigeria and for Nigeria☆12Mar 8, 2026Updated 2 weeks ago