laurafontanesi / rlssm
Bayesian Parameter Estimation (based on pystan) of reinforcement learning and sequential sampling models, and combinations of the two.
☆31Updated last year
Related projects ⓘ
Alternatives and complementary repositories for rlssm
- Package to Train LANs (Likelihood approximation networks)☆11Updated 7 months ago
- Python Package which collects simulators for Sequential Sampling Models☆11Updated last week
- Repository for example Hierarchical Drift Diffusion Model (HDDM) code using JAGS in Python. These scripts provide useful examples for usi…☆25Updated 8 months ago
- Bayesian Cognitive Modelling☆19Updated 3 months ago
- A collection of different Drift Diffusion Models implemented in the probabilistic programming language Stan.☆46Updated 4 months ago
- CHaRTr: An R toolbox for modeling Choices and Response Times in decision-making tasks☆17Updated 2 years ago
- Code accompanying "Likelihood Approximation Networks (LANs) for Fast Inference of Simulation Models in Cognitive Neuroscience"☆14Updated 3 years ago
- Repository for example Hierarchical Drift Diffusion Model (HDDM) code using JAGS in R. These scripts provide useful examples for using JA…☆12Updated 3 weeks ago
- Run adaptive decision making experiments☆16Updated 3 years ago
- Toolbox enabling the model-free and model-based analysis of IGT data☆14Updated 2 years ago
- Code for creating online tasks to study human reinforcement learning☆9Updated 5 years ago
- Research code for Mixed Neural Likelihood Estimation (MNLE, Boelts et al. 2022)☆17Updated 11 months ago
- Neural drift-diffusion model (NDDM) is a repository to integrate simultaneously both single-trial EEG measures and behavioral performance…☆14Updated 4 months ago
- Code and data for Zhang, Lengersdorff et al. (2020)☆23Updated 4 years ago
- A simple R package for calculating (meta-) SDT measures☆14Updated 9 months ago
- ☆12Updated 7 months ago
- Code for a Tutorial on using the Neural Network Extension of HDDM☆22Updated 2 years ago
- ☆29Updated last year
- Online supplement for Neurocomputational mechanisms underlying motivated seeing (Leong. et al., 2019)☆9Updated 4 years ago
- Code and data for Zhang & Gläscher (2020)☆15Updated 4 years ago
- R/Cpp implementation of the diffusion process model (Diffusion Model for Conflict Tasks, DMC) presented in Automatic and controlled stimu…☆17Updated this week
- A python toolbox for the Gaze Weighted Linear Accumulator Model (GLAM)☆16Updated last year
- C++ Diffusion model toolset with Python and Matlab interfaces☆16Updated 3 years ago
- A library of MATLAB functions for visualization, processing, and analysis of output from Bayesian models fit with Stan.☆10Updated 2 years ago
- Reverse engineering of Metacognition toolbox☆15Updated 9 months ago
- Method to fit the a hierarchical time-varying sequential sampling and an attentional drift diffusion model.☆14Updated 3 years ago
- A Google Chrome Extension and native hosts allowing jspsych to interact with hardware☆16Updated 5 years ago
- Learning materials for using HDDM (Hierarchical Drift Diffusion Modeling)☆30Updated 2 years ago
- RT distributions in R☆47Updated 2 years ago
- Hierarchical Bayesian estimation and hypothesis testing for delay discounting tasks☆23Updated 6 years ago