Independent Component Analysis (ICA) has
received a lot of attention recently. The ICA at CNL website shows a
variety of ICA research performed in the Computational Neuroscience
Laborabory of Terry Sejnowski at The Salk Institute, La Jolla. The
goal of this webpage is to provide detailed information for
scientists, engineers and industrials about ICA or Blind Source
Separation (BSS). The following pages are available:
International Workshop on Independent Component Analysis and Blind Signal Separation
Introduction to ICA. In particular, the history of ICA, etc.
There are several projects at the CNL that involve ICA. We develop
algorithms and apply them to diverse real data analysis problems.
In particular, we are concerned with EEG, ERP and fMRI applications.
Other applications are classification problems such as face
recognition and lip-reading.
We introduce our CNL-ICA team. Please check individual
homepages of our group for details and email them for
Here is a collection of ICA related papers from CNL. Check out the
abstracts and you can download PS-files.
We have MATLAB code available for different applications.
You can download packages for EEG/ERP analysis or simple ICA code
for simple blind source separation experiments.
We present some simulations to explain the main idea of ICA.
Furthermore, we show real data analysis (EEG artifact removal
and fMRI data analysis.
What's HOT in ICA now? We present a collection of unsolved problems
in ICA. Also, we discuss problems, ideas and solutions.
Here is a detailed list of links to researchers, institutes and
other papers involving ICA.
In the past several years we have collected a series of questions
that were frequently asked about ICA. Take a look at them and you
may find answers to questions you always wanted to ask.
Ask Dr. ICA!
Email the ICA-webmaster