baribault / matstanlibLinks
A library of MATLAB functions for visualization, processing, and analysis of output from Bayesian models fit with Stan.
☆9Updated 3 years ago
Alternatives and similar repositories for matstanlib
Users that are interested in matstanlib are comparing it to the libraries listed below
Sorting:
- Code for a Tutorial on using the Neural Network Extension of HDDM☆22Updated 2 years ago
- A toolbox for data analysis using the attentional drift-diffusion model.☆16Updated 7 years ago
- Online supplement for Neurocomputational mechanisms underlying motivated seeing (Leong. et al., 2019)☆9Updated 5 years ago
- Method to fit the a hierarchical time-varying sequential sampling and an attentional drift diffusion model.☆14Updated 4 years ago
- Package to Train LANs (Likelihood approximation networks)☆11Updated this week
- Computational modeling tutorials for cognitive science☆13Updated 2 years ago
- Code accompanying "Likelihood Approximation Networks (LANs) for Fast Inference of Simulation Models in Cognitive Neuroscience"☆14Updated 4 years ago
- Material of the European Summer School on Computational and Mathematical Modeling of Cognition☆11Updated 2 years ago
- Repository for example Hierarchical Drift Diffusion Model (HDDM) code using JAGS in Python. These scripts provide useful examples for usi…☆27Updated last year
- ☆17Updated this week
- Toolbox enabling the model-free and model-based analysis of IGT data☆16Updated 3 years ago
- scripts for the computational modelling workshop at FLUX 2021☆16Updated 3 years ago
- Package wrapper with additions to PyMVPA http://www.pymvpa.org/ https://github.com/PyMVPA/PyMVPA☆13Updated 2 months ago
- Neural drift-diffusion model (NDDM) is a repository to integrate simultaneously both single-trial EEG measures and behavioral performance…☆17Updated 11 months ago
- Python Package which collects simulators for Sequential Sampling Models☆13Updated last week
- Recipes for cognitive modeling using Stan [work in progress]☆12Updated 7 months ago
- Repository for example Hierarchical Drift Diffusion Model (HDDM) code using JAGS in R. These scripts provide useful examples for using JA…☆12Updated 7 months ago
- Code and data for Zhang & Gläscher (2020)☆15Updated 4 years ago
- PyBEAM: A Bayesian approach to parameter inference for a wide class of binary evidence accumulation models☆8Updated last year
- CHaRTr: An R toolbox for modeling Choices and Response Times in decision-making tasks☆17Updated 3 years ago
- A collection of different Drift Diffusion Models implemented in the probabilistic programming language Stan.☆46Updated 10 months ago
- Tools and examples for fitting (Hierarchical) Drift Diffusion Models in R☆11Updated last year
- C++ Diffusion model toolset with Python and Matlab interfaces☆16Updated 4 years ago
- A Google Chrome Extension and native hosts allowing jspsych to interact with hardware☆16Updated 6 years ago
- Repository for the hmp python package☆44Updated 2 weeks ago
- Programming in Psychological Science course. This repository contains materials for a R + Python intro course.☆16Updated 2 years ago
- Contains the code for reproducing the experiments and results of the paper "Neural Superstatistics: A Bayesian Method for Estimating Dyna…☆11Updated last year
- Learning materials for using HDDM (Hierarchical Drift Diffusion Modeling)☆34Updated 2 years ago
- A python toolbox for the Gaze Weighted Linear Accumulator Model (GLAM)☆17Updated last year
- materials of the CPC Zurich 2022☆25Updated 2 years ago