mailchand / CHaRTrLinks
CHaRTr: An R toolbox for modeling Choices and Response Times in decision-making tasks
☆17Updated 3 years ago
Alternatives and similar repositories for CHaRTr
Users that are interested in CHaRTr 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
- Code for creating online tasks to study human reinforcement learning☆9Updated 6 years ago
- Neural drift-diffusion model (NDDM) is a repository to integrate simultaneously both single-trial EEG measures and behavioral performance…☆17Updated 10 months ago
- ☆12Updated last year
- A Google Chrome Extension and native hosts allowing jspsych to interact with hardware☆16Updated 6 years ago
- Online supplement for Neurocomputational mechanisms underlying motivated seeing (Leong. et al., 2019)☆9Updated 5 years ago
- Package to Train LANs (Likelihood approximation networks)☆11Updated 3 weeks ago
- Code accompanying "Likelihood Approximation Networks (LANs) for Fast Inference of Simulation Models in Cognitive Neuroscience"☆14Updated 4 years ago
- Recipes for cognitive modeling using Stan [work in progress]☆12Updated 7 months ago
- A simple R package for calculating (meta-) SDT measures☆16Updated last year
- Toolbox enabling the model-free and model-based analysis of IGT data☆16Updated 3 years ago
- Tools and examples for fitting (Hierarchical) Drift Diffusion Models in R☆11Updated last year
- ☆17Updated this week
- Code and data for Zhang & Gläscher (2020)☆15Updated 4 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
- Bayesian Cognitive Modelling☆19Updated 9 months ago
- Open database for inhibition tasks☆10Updated last year
- 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
- Reverse engineering of Metacognition toolbox☆17Updated 2 months ago
- C++ Diffusion model toolset with Python and Matlab interfaces☆16Updated 4 years ago
- Code and data for Zhang, Lengersdorff et al. (2020)☆23Updated 4 years ago
- General Analysis Functions☆15Updated 8 years ago
- Demo on chaining together LFP simulation (neurodsp), spectral parameterization (fooof), and simulation-based inference (sbi).☆11Updated last year
- R/Cpp implementation of the diffusion process model (Diffusion Model for Conflict Tasks, DMC) presented in Automatic and controlled stimu…☆18Updated 6 months ago
- Teaching materials for BayesCog workshop, UKE Hamburg (Part 2).☆10Updated last year
- A python toolbox for the Gaze Weighted Linear Accumulator Model (GLAM)☆17Updated last year
- CSD Toolbox (Python implementation)☆11Updated 5 years ago
- PyBEAM: A Bayesian approach to parameter inference for a wide class of binary evidence accumulation models☆8Updated last year
- Python Package which collects simulators for Sequential Sampling Models☆13Updated last week
- Repo for "An empirically-driven guide on using Bayes Factors for M/EEG decoding"☆13Updated 2 years ago