HORN network model

linax is a light weight collection of state space models implemented in JAX ⚡️

An open-source book on building better code for science using AI

MarsBaR region of interest toolbox for SPM

Living Code for Network Level Analysis Toolbox for Wheelock

📚 A collection of awesome Causality in ST data papers.

Entropy rate estimators for neuroscience

Distance correlation and related E-statistics in Python

A MATLAB toolbox for performing information theory analyses of neuroscience data

Automated Bayesian Inference for Dynamic Causal Models (DCMs)

Neuroprobe: Benchmark for Evaluating iEEG Foundation Models

Geometry processing and machine learning with functional maps.

A light-weight, flexible, and expressive statistical data testing library

BayesfMRI R package

Confidence sequences and uniform boundaries

Statistics zettelkasten

Sensitivity analysis for neural mass models and parameter estimation via UKF

Sensitivity Analysis library for python

Tutorial for making figures, written by Michael @michaeldeistler

A minimalistic presentation theme for Quarto + Typst by Touying

Python package for multivariate hypothesis testing

rapidtide - a suite of programs for doing time lag correlation analysis on fMRI data

Faster Integrated Information Decomposition (ΦID) with CUDA

MATLAB toolbox for estimating repetitive spatiotemporal patterns from resting-state brain activity data

Lightweight and easy generation of quasi-Monte Carlo sequences with a ton of different methods on one API for easy parameter exploration in scientific machine learning (SciML)

Here, we have developed a user-friendly graphical interface toolbox named NaDyNet (Naturalistic Dynamic Network Toolbox), which integrates existing dynamic brain network analysis methods.