A Julia package for multivariate statistics and data analysis (e.g. dimension reduction)

Automatic labeling of ICA components in Python.

ICA-AROMA Software Package: a data-driven method to identify and remove head motion-related artefacts from functional MRI data.

Group ICA/IVA software (MATLAB)

Automatic EEG IC classification plugin for EEGLAB

VAEs and nonlinear ICA: a unifying framework

Fusion ICA Toolbox (MATLAB)

Process and analyse EEG brain signals using EEGlab

Using computational tools to explore the networks underlying cognitive neuroscience

This is the code for the paper Embrace the Gap: VAEs perform Independent Mechanism Analysis, showing that optimizing the ELBO is equivalent to optimizing the IMA-regularized log-likelihood under certain assumptions (e.g., small decoder variance).

🍻 A pub quiz web application built using the MERN stack with websockets for near real-time quiz action

Create optimized ICA training (OPTICAT) data for EEG data recorded during free viewing (Dimigen, 2020, NeuroImage)

Python implementation of a stabilized ICA algorithm

Repository that gathers code for signal processing

MNE-preprocessing is a python repository to reduce artifacts based on basic and unanimous approaches step by step from electroencephalographic (EEG) raw data.

This is the code for the paper Jacobian-based Causal Discovery with Nonlinear ICA, demonstrating how identifiable representations (particularly, with Nonlinear ICA) can be used to extract the causal graph from an underlying structural equation model (SEM).

Discovering Universal Geometry in Embeddings with ICA

Reusable neuroimaging pipelines using nipype

Matrix decomposition algorithms including PCA (principal component analysis) and ICA (independent component analysis)