code to fit GLMs, HMMs, and GLM-HMMs (aka IO-HMMs)
☆32Aug 6, 2024Updated last year
Alternatives and similar repositories for glmhmm
Users that are interested in glmhmm are comparing it to the libraries listed below
Sorting:
- Code to reproduce figures for "Mice alternate between discrete strategies during perceptual decision-making" from Ashwood, Roy, Stone, IB…☆57Aug 18, 2023Updated 2 years ago
- ☆24Jan 15, 2020Updated 6 years 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
- Code for a Tutorial on using the Neural Network Extension of HDDM☆22Nov 21, 2022Updated 3 years ago
- The Mathematical Cognitive Neuroscience Toolbox (mcntoolbox). Code associated with the publication "How attention influences perceptual d…☆14Jan 27, 2021Updated 5 years ago
- Bayesian learning and inference for state space models☆15Dec 23, 2021Updated 4 years ago
- ☆57Mar 4, 2025Updated 11 months ago
- Hierarchical Bayesian estimation and hypothesis testing for delay discounting tasks☆24May 6, 2018Updated 7 years ago
- ☆20Nov 25, 2016Updated 9 years ago
- dRiftDM☆13Jan 11, 2026Updated last month
- Tools and examples for fitting (Hierarchical) Drift Diffusion Models in R☆11Jul 11, 2023Updated 2 years ago
- Introduction to Quantified Cognition☆15Dec 1, 2022Updated 3 years ago
- Official Implementation of RRR Decoder☆14Oct 11, 2025Updated 4 months ago
- Method to fit the a hierarchical time-varying sequential sampling and an attentional drift diffusion model.☆15May 20, 2021Updated 4 years ago
- ☆25Aug 20, 2024Updated last year
- Dataframe toolboxes for data analysis and plotting in Matlab☆13Apr 25, 2022Updated 3 years ago
- Stan + cmdstanr recoding of Bayesian Cognitive Modeling☆12Jan 24, 2023Updated 3 years ago
- Bayesian learning and inference for state space models☆678May 9, 2025Updated 9 months ago
- Train excitatory-inhibitory recurrent neural networks for cognitive tasks.☆55Mar 3, 2016Updated 10 years ago
- C++ Diffusion model toolset with Python and Matlab interfaces☆16Dec 14, 2020Updated 5 years ago
- Automatically exported from code.google.com/p/py-smc2☆14Jun 15, 2015Updated 10 years ago
- Recipes for cognitive modeling using Stan [work in progress]☆13Sep 17, 2025Updated 5 months ago
- A simple R package for calculating (meta-) SDT measures☆18Feb 5, 2024Updated 2 years ago
- Metacognitive efficiency modelling in Python.☆19Nov 8, 2023Updated 2 years ago
- ☆16Oct 17, 2024Updated last year
- Python Package which collects simulators for Sequential Sampling Models☆18Updated this week
- Reverse engineering of Metacognition toolbox☆18Feb 18, 2026Updated last week
- ☆17Jul 20, 2025Updated 7 months ago
- R package for permutation test in linear model with nuisances variables☆14Aug 25, 2024Updated last year
- Neural drift-diffusion model (NDDM) is a repository to integrate simultaneously both single-trial EEG measures and behavioral performance…☆18Jul 4, 2024Updated last year
- DataJoint pipeline for IBL project☆20Dec 15, 2022Updated 3 years ago
- A drift-diffusion modeling (DDM) framework for Python3☆17Jul 3, 2023Updated 2 years ago
- An open-source ecosystem of hardware and software for head-fixed behavior☆13Sep 25, 2025Updated 5 months ago
- Benchmark denoising strategies available from fmriprep.☆16Dec 18, 2025Updated 2 months ago
- A Guide to Reconstructing Dynamical Systems from Neural Measurements Using Recurrent Neural Networks☆41Apr 12, 2024Updated last year
- Reaction Time Distributions - An Interactive Overview☆45Sep 28, 2021Updated 4 years ago
- Code associated with "Anxiety, avoidance, and sequential evaluation"☆17Oct 26, 2021Updated 4 years ago
- Toolbox for laminar inference with MEG☆22Feb 19, 2026Updated last week
- CHaRTr: An R toolbox for modeling Choices and Response Times in decision-making tasks☆17Feb 15, 2022Updated 4 years ago