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Address:

BSI RIKEN ABSP Lab
2-1, Hirosawa,
Wako
Saitama,
351-0198
JAPAN
Tel: +81-48-467-9668
Fax: +81-48-467-9686



Laboratory Head
Dr. Andrzej Cichocki

The Cichocki Laboratory for Advanced Brain Signal Processing (ABSP) investigates and develops tools and software for analysis, extraction, enhancement, de-noising, detection, localization, recognition, and classification of brain signals and patterns, especially measured by high density array EEG/MEG and fMRI.
RECENT TOPICS

Human-Robot Interaction and Interfaces
One of our affective BCI project was nominated to the Annual BCI Research Award 2011
Our BCI projects on international TV news

RIKEN Podcast

RIKEN BSI NEWS
December 2006
[English]

[Japanese]

A Brief Guide for TDALAB Ver 1.0 [PDF]

ICALAB for Signal Processing ver. 3.0
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NMFLAB for Signal Processing ver 1.2
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Guidebook of NMFLAB for signal processing [PDF]

FAQ, Tips & Tricks
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MLSP Benchmarks Competition



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We are interested in intelligent biomedical signal processing and nonlinear system theory approaches in computational (neuro)science, with an emphasis on neural network models with underlying components (processing units) and biologically plausible learning algorithms.

The main objective of the laboratory is develop novel multi-way (tensor) and machine learning (ML) technologies for massive brain (and generally multi-modal biomedical) data analysis and for computational (neuro)science, that is modeling and simulations of complex mechanisms and phenomena. We are developing novel algorithms and software for multiway component analysis, including multilinear Independent Component Analysis (ICA), non-negative matrix/tensor factorization (NMF/NTF), Smooth Component Analysis and Sparse Component Analysis (SCA). We investigate novel models and algorithms for tensor decomposition and tensor networks to simulate complex systems and process massive large-scale multidimensional data sets.

The potential applications of tensor technology (tensor decompositions and tensor networks) and multiway component analysis are:
  1. Feature extraction.
  2. Dimensionality reduction
  3. Classification and hierarchical clustering.
  4. Anomaly detection.
  5. Multiomadal data fusion.
  6. Very large scale optimization problems.
Another topics of our research are:
  1. Brain Computer Interface (BCI).
  2. Human Robot Interactions (HRI).
  3. EEG hyper-scanning and their application for rehabilitation, learning and therapies.
How to reach us


1997-2014 Laboratory for Advanced Brain Signal Processing
updated: 2014-04-24