mdnunez / pyhddmjagsLinks
Repository for example Hierarchical Drift Diffusion Model (HDDM) code using JAGS in Python. These scripts provide useful examples for using JAGS with pyjags, the JAGS Wiener module, mixture modeling in JAGS, and Bayesian diagnostics in Python.
☆27Updated last year
Alternatives and similar repositories for pyhddmjags
Users that are interested in pyhddmjags are comparing it to the libraries listed below
Sorting:
- Neural drift-diffusion model (NDDM) is a repository to integrate simultaneously both single-trial EEG measures and behavioral performance…☆17Updated last year
- Code for a Tutorial on using the Neural Network Extension of HDDM☆22Updated 2 years ago
- Code accompanying "Likelihood Approximation Networks (LANs) for Fast Inference of Simulation Models in Cognitive Neuroscience"☆16Updated 4 years ago
- CHaRTr: An R toolbox for modeling Choices and Response Times in decision-making tasks☆17Updated 3 years ago
- ☆21Updated this week
- Repository for the hmp python package☆46Updated this week
- Package to Train LANs (Likelihood approximation networks)☆12Updated this week
- Python Package which collects simulators for Sequential Sampling Models☆15Updated this week
- Method to fit the a hierarchical time-varying sequential sampling and an attentional drift diffusion model.☆14Updated 4 years ago
- A toolbox for data analysis using the attentional drift-diffusion model.☆17Updated 7 years ago
- Online supplement for Neurocomputational mechanisms underlying motivated seeing (Leong. et al., 2019)☆9Updated 5 years ago
- A Google Chrome Extension and native hosts allowing jspsych to interact with hardware☆16Updated 6 years ago
- Hierarchical meta-d' model☆67Updated 11 months ago
- A docker image for running HDDM with parallel processing in jupyter notebook.☆29Updated 4 months ago
- scripts for the computational modelling workshop at FLUX 2021☆17Updated 3 years ago
- Learning materials for using HDDM (Hierarchical Drift Diffusion Modeling)☆34Updated 2 years ago
- Computational modeling tutorials for cognitive science☆13Updated 2 years ago
- A drift-diffusion modeling (DDM) framework for Python3☆17Updated 2 years ago
- python port: An Introduction to Bayesian Data Analysis for Cognitive Science☆15Updated last year
- Code and data for Zhang, Lengersdorff et al. (2020)☆23Updated 4 years ago
- Tutorial on representational similarity analysis for MIND 2018☆23Updated 7 years ago
- Demo on chaining together LFP simulation (neurodsp), spectral parameterization (fooof), and simulation-based inference (sbi).☆11Updated 3 weeks ago
- Code and website accompanying Farrell & Lewandowsky's (2017) book☆63Updated last month
- ☆25Updated 11 months ago
- Tools and examples for fitting (Hierarchical) Drift Diffusion Models in R☆11Updated 2 years ago
- A simple R package for calculating (meta-) SDT measures☆17Updated last year
- Toolbox enabling the model-free and model-based analysis of IGT data☆17Updated 3 years ago
- ☆39Updated 6 years ago
- Materials for MNE tutorials at Practical MEEG workshop Paris 2019☆16Updated 5 years ago
- A python toolbox for the Gaze Weighted Linear Accumulator Model (GLAM)☆17Updated 2 years ago