hddm-devs / hddmLinks
HDDM is a python module that implements Hierarchical Bayesian parameter estimation of Drift Diffusion Models (via PyMC).
☆295Updated last year
Alternatives and similar repositories for hddm
Users that are interested in hddm are comparing it to the libraries listed below
Sorting:
- JIDT: Java Information Dynamics Toolkit for studying information-theoretic measures of computation in complex systems☆288Updated last month
- Hierarchical Bayesian modeling of RLDM tasks, using R & Python☆247Updated 3 months ago
- Functions for calculating mutual information and other information theoretic quantities using a parametric Gaussian copula.☆99Updated 5 years ago
- A drift-diffusion modeling (DDM) framework for Python☆104Updated 2 months ago
- This project has moved to https://github.com/nimh-dsst/OpenCogData☆25Updated 2 years ago
- 🕝 Time-warped principal components analysis (twPCA)☆127Updated 4 years ago
- Development of HSSM package☆105Updated last week
- The Information Dynamics Toolkit xl (IDTxl) is a comprehensive software package for efficient inference of networks and their node dynami…☆281Updated 3 weeks ago
- Tools for computational psychiatry research.☆10Updated 11 months ago
- Calculate phase-amplitude coupling in Python (and Matlab).☆26Updated 8 years ago
- Timeseries analysis for neuroscience data☆255Updated this week
- Tools for spike data analysis and visualization☆109Updated 2 years ago
- Materials for Methods in Neuroscience at Dartmouth (MIND) 2019 Summer School on Cognitive Maps☆51Updated 5 years ago
- Bayesian mixed-effects modeling of fMRI data in Python☆39Updated 4 years ago
- Python toolbox for analyzing imaging data☆127Updated 4 months ago
- All the convenience of lme4 in python☆211Updated 3 months ago
- Python implementation of psignifit, for psychometric function estimation☆64Updated 4 months ago
- Code for the figures in the "Ten Simple Rules for Computational Modeling of Behavioral Data" paper.☆103Updated 5 years ago
- PTSA - Python Time Series Analysis☆22Updated last year
- Interpretable neural spike train models with fully-Bayesian inference algorithms☆48Updated 7 years ago
- Framework for Information Theoretical analysis of Electrophysiological data and Statistics☆97Updated 7 months ago
- A python toolbox for the Gaze Weighted Linear Accumulator Model (GLAM)☆17Updated 2 years ago
- Materials for Methods in Neuroscience at Dartmouth (MIND) 2017 Summer School on Network Dynamics☆33Updated 6 years ago
- An algorithm for unsupervised discovery of sequential structure☆28Updated 7 years ago
- Partial Entropy Decomposition and Partial Information Decomposition with pointwise surprisal measures☆47Updated 2 years ago
- Platform-independent lightweight Python library for designing and conducting timing-critical behavioural and neuroimaging experiments☆129Updated 3 months ago
- Comparative analysis of pairwise interactions in multivariate time series.☆249Updated 2 months ago
- Code, data, and tasks for "When does model-based control pay off?" (Kool et al., 2016)☆22Updated 8 years ago
- An open course in neural data science☆55Updated 8 years ago
- Python implementation of spike distance metrics☆75Updated last year