There are 1 repository under ica topic.
A Julia package for multivariate statistics and data analysis (e.g. dimension reduction)
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)
Using computational tools to explore the networks underlying cognitive neuroscience
Fusion ICA Toolbox (MATLAB)
Repository that gathers code for signal processing
This repository proposes a python implementation of a stabilized ICA algorithm
Create optimized ICA training (OPTICAT) data for EEG data recorded during free viewing (Dimigen, 2020, NeuroImage)
MNE-preprocessing is a python repository to reduce artifacts based on basic and unanimous approaches step by step from electroencephalographic (EEG) raw data.
Discovering Universal Geometry in Embeddings with ICA
A python based Machine Learning project that separates two sounds intermixed.
A blind source separation package using non-negative matrix factorization and non-negative ICA
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).
Independent component analysis for dimensionality reduction of hyperspectral images
Robust electrophysiology tools with GPU acceleration
Dataset for training EEG IC classifiers.
Matrix decomposition algorithms including PCA (principal component analysis) and ICA (independent component analysis)
General pipeline used for analyzing EEG data where Raw EEG data gets transformed into ERPS and Stats are done in R (Mixed effects models)
Demo for PCA(Principal Component Analysis) & ICA(Independent Component Analysis) in data analysis in Python and image separation written in MATLAB
This repository contains the collection of Cognitive Science computation modeling projects made for the DTU Human-Centered AI course 02458: Cognitive Modeling
Face Recognition with SVM classifier using PCA, ICA, NMF, LDA reduced face vectors
ICA preprocessing & source localization for EEG. Please read wiki for detailed info:
My work during the research internship "Automotive Control using Surface Electromyography" at The University of Tokyo, Jun.-Sep. 2020
Inter-Subject Correlations (ISC) technique for analyzing neural data (EEG and MEG)