COST Action B27 , WG1 Theoretical Study on Oscillation & Cognition, Polish contributions. Reported by Włodzisław Duch (Google: Duch) Department of Informatics, Nicolaus Copernicus University, Torun, Poland School of Computer Engineering, Nanyang Technological University, Singapore.
Reported by Włodzisław Duch
Department of Informatics,
Nicolaus Copernicus University, Torun, Poland
School of Computer Engineering,
Nanyang Technological University,
Summer time ... not all responded on a short notice.
Most people do theory and applications and work in several places ... I will talk about activities of 4 groups:
RIKEN, Brain Science Institute, JAPAN
& Warsaw University of Technology, POLAND
Research mission and central research interest:
The laboratory for Advanced Brain Signal Processing is
focused on developing novel and state of the art
and to use the insights gained to build intelligent feature extraction systems for Early Detection and Classification of Dementia, especially Alzheimer Disease (AD), evaluation of aging of the brain using Blind Signal Processing (BSP) and Time Frequency Representation (TFR) of EEG and fMRI/PET.
Experiments, collecting and preprocessing
EEG, EOG, EMG , PET, fMRI, MUR data
Human with machine
Extraction. Functional Connectivity
One of the main objective of the Laboratory is to develop and apply novel blind signal processing (BSP) and Machine Learning (ML) algorithms and methods including: Sparse Components Analysis (SCA), Time-Frequency Component Analyzer (TFCA), Independent Components Analysis (ICA), Blind Deconvolution - Equalization and Hierarchical Clusteringto analyze multi-sensory, multi-modal biomedical signals, especially high density array EEG signals.
1. Developments and Implementation of Novel Blind Signal Processing and Machine Learning Techniques for Analysis, Finding Functional Relationships and Modeling of Brain Signals.
2. Intelligent Communication between Human Brain and Machine - Development of Software/Hardware for Human/Brain Computer Interface (H/BCI) and Classification of Various Mental States.
3. Early Detection and Classification of Dementia, especially Alzheimer Disease (AD) using Blind Signal Processing (BSP) and Time-Frequency Representation (TFR) of EEG and Other Neuroimaging Techniques.
4. Modeling Some Aspects of Auditory System and Olfactory System: Contribution to Development of Electronic Ears and Electronic Nose – Artificial Olfaction.
Processing flow of the developed method. The main novelty lies in ordering and selection of only few significant AD markers (components), back-projecting (deflation) of these components on the scalp level and processing them in the time frequency domain using approximated sparsification. Advanced pattern recognition and machine learning techniques are applied for classification and analysis of the data.
Theory of Event Related Potentials (ERP)
“Classical view” RIKEN BSI
ERPTheories of ERP origin
Wies RIKEN BSIław Kamiński, Grzegorz WójcikDivision of Complex Systemsand NeurodynamicsInstitute of Computer Science, Maria Curie-Sklodowska University, Lublin, Poland
Włodzisław Duch & Co (Google: Duch) RIKEN BSI
Department of Informatics, Nicolaus Copernicus University, Torun, Poland, and School of Computer Engineering, Nanyang Technological University (NTU), Singapore
Done many smaller projects on:
Hebbian associative memories with chaotic itinerancy and large Lyapunow exponents for mixed pattern separation (P. Matykiewicz).
Visualization of trajectories in such networks and stability analysis of locally Hopfield nets with highly correlated patterns (F. Piękniewski, L. Rybicki)
Fuzzy symbolic dynamics for simplification of neurodynamics.
A-life biots based on Boltzman machines (L. Rybicki)
Global Brain Simulations – just starting ...
Cognitive architectures, integration of perception with cognition – just starting ...
First attempt: large EU integrated project, with 9 participants:
King’s College London (John G. Taylor, coordinator).
New version: BRAin as Complex System (BRACS), on a smaller scale, more focused on simulations and understanding the principles of complex brain-like information processing.
The time of large scale global brain simulations has come!
Computer speeds have just reached brain power (about 1016 binop/s), but computers are far from brain’s complexity/style.
Science: understand how high-level cognition arises from low-level interactions between neurons, build powerful research tool; to understand complex systems is to be able to build them.
Practical: humanized, cognitive computer applications require a brain-like architecture (either software or hardware) to deal with such problems efficiently; it is at the center of cognitive robotics.
High-level sketch of the brain structures, with connections based on different types of neurotransmiters marked in different colors.
Neuroscience and Development System (ABACCUS)
Learning of PFC goals
Feedback Attention Control
Drive and Intrinsic reward system
Action/Object reward systemSketch of the BRACS system
Computational Platform, Simulation Environment and Integration
Rough sketch of the BRACS system, based on simplified spiking neurons.