Code for a Tutorial on using the Neural Network Extension of HDDM
☆22Nov 21, 2022Updated 3 years ago
Alternatives and similar repositories for hddmnn_tutorial
Users that are interested in hddmnn_tutorial are comparing it to the libraries listed below
Sorting:
- CHaRTr: An R toolbox for modeling Choices and Response Times in decision-making tasks☆17Feb 15, 2022Updated 4 years ago
- Recipes for cognitive modeling using Stan [work in progress]☆13Sep 17, 2025Updated 5 months ago
- Neural drift-diffusion model (NDDM) is a repository to integrate simultaneously both single-trial EEG measures and behavioral performance…☆18Jul 4, 2024Updated last year
- Tools and examples for fitting (Hierarchical) Drift Diffusion Models in R☆11Jul 11, 2023Updated 2 years ago
- Stan + cmdstanr recoding of Bayesian Cognitive Modeling☆12Jan 24, 2023Updated 3 years ago
- Metacognitive efficiency modelling in Python.☆19Nov 8, 2023Updated 2 years ago
- Bayesian Parameter Estimation (based on pystan) of reinforcement learning and sequential sampling models, and combinations of the two.☆32Nov 1, 2023Updated 2 years ago
- methods & simulation code to measure sequential replay☆43Jul 16, 2021Updated 4 years ago
- R package for permutation test in linear model with nuisances variables☆14Aug 25, 2024Updated last year
- Development of HSSM package☆109Updated this week
- Code accompanying "Likelihood Approximation Networks (LANs) for Fast Inference of Simulation Models in Cognitive Neuroscience"☆16Apr 30, 2021Updated 4 years ago
- code to fit GLMs, HMMs, and GLM-HMMs (aka IO-HMMs)☆32Aug 6, 2024Updated last year
- Contains the scripts, pre-trained networks, and data for our paper:☆19Aug 24, 2023Updated 2 years ago
- Research code for Mixed Neural Likelihood Estimation (MNLE, Boelts et al. 2022)☆18Dec 4, 2023Updated 2 years ago
- ☆32Nov 5, 2023Updated 2 years ago
- ggdmc provides tools to conduct Bayesian inference on a range of choice response time models.☆19Oct 29, 2025Updated 4 months ago
- Tools for serving and storing data from online experiments.☆18Jul 15, 2025Updated 7 months ago
- ☆29Updated this week
- An introduction to Scientific Computing with Python, an advanced course for computer science students at IDC Herzliya☆22Jun 26, 2022Updated 3 years ago
- ☆20Nov 25, 2016Updated 9 years ago
- dRiftDM☆13Jan 11, 2026Updated last month
- The current repository is able to assess the relationship between EEG components and HDDM parameters of top-down attention in perceptual …☆15Nov 27, 2024Updated last year
- Repository for the hmp python package☆50Feb 18, 2026Updated last week
- Urai AE, de Gee JW, Tsetsos K, Donner TH (2019) Choice history biases subsequent evidence accumulation. eLife☆15Jul 20, 2020Updated 5 years ago
- Dynamic Causal Modeling with Python☆44Sep 19, 2019Updated 6 years ago
- A Docker workflow to work reproducibly with papaja in RStudio☆10Nov 16, 2021Updated 4 years ago
- Official Implementation of RRR Decoder☆14Oct 11, 2025Updated 4 months ago
- Contains the code for reproducing the experiments and results of the paper "Neural Superstatistics: A Bayesian Method for Estimating Dyna…☆14Aug 18, 2023Updated 2 years ago
- Package to Train LANs (Likelihood approximation networks)☆13Feb 10, 2026Updated 2 weeks ago
- fit response shapes from signal time-courses☆12Apr 28, 2025Updated 10 months ago
- Repository for example Hierarchical Drift Diffusion Model (HDDM) code using JAGS in Python. These scripts provide useful examples for usi…☆30Mar 13, 2024Updated last year
- Kabuki is a Python toolbox that allows easy creation of hierarchical Bayesian models for the cognitive sciences.☆73Mar 19, 2023Updated 2 years ago
- This repository contains all materials for the paper "Bayesian Item Response Modelling in R Using brms and Stan" by Paul Bürkner.☆31Feb 18, 2024Updated 2 years ago
- Simulate Evidence Accumulation Models in Python☆23Nov 16, 2021Updated 4 years ago
- Code and data for Feher da Silva, C., Hare, T.A. Humans primarily use model-based inference in the two-stage task. Nat Hum Behav (2020). …☆13Jul 25, 2023Updated 2 years ago
- Multinomial-Processing-Tree Modeling: Basic Methods and Recent Advances☆14Apr 10, 2025Updated 10 months ago
- Preprocessing and analysis scripts for the dPCA paper (eLife 2016)☆10Jul 15, 2016Updated 9 years ago
- fMRI pre-processing project using fMRIPrep, Nilearn on a HPC server.☆11Sep 30, 2022Updated 3 years ago
- Method to fit the a hierarchical time-varying sequential sampling and an attentional drift diffusion model.☆15May 20, 2021Updated 4 years ago