SATURDAY, June 12
8.00 - 9.00
Registration and coffee
9.00 - 9.15
Welcome
Paavo Leppänen, Chairman, the Organizing Committee
Department of Psychology, University of Jyväskylä
Chaired by Ulla Ruotsalainen
Keynotes
9.15 -10.15
New perspectives on imaging distributed brain dynamics supporting human agency
Scott Makeig
Institute for Neural Computation, University of California San Diego
10.15 - 11.15
Independent component analysis and blind source separation [pdf]
Aapo Hyvärinen
Department of Computer Science, University of Helsinki
11.15 - 11.35
Coffee and refreshments
Plenary
11.35 - 12.20
High frequency EEG power during vivid emotional imagery [pdf]
Julie Onton
Institute for Neural Computation, University of California San Diego
12.20 - 13.30
Lunch
Oral session
Spatial Weighted Averaging for ERP Denoising in EEG Data
Andriy Ivannikov*1, Tommi Kärkkäinen1,Tapani Ristaniemi1 & Heikki Lyytinen2
1Department of Mathematical Information Technology, University of Jyväskylä
2Department of Psychology, University of Jyväskylä
What can we learn through modeling ERP recordings as linear transformation of latent
variables?
Fengyu Cong* & Tapani Ristaniemi
Department of Mathematical Information Technology, University of Jyväskylä
*Presenting author
Plenary
14.15 - 15.00
Artefact exclusion in fMRI data with ICA [pdf]
Jussi Tohka
Department of Signal Processing, Tampere University of Technology
15.00 - 16.00
Coffee, refreshments and posters
16.00 – 18.30
Brain computer interface -workshop
Robert Prückl
g.tech, Austria
19.00-23.00
Get-together Party, Piato, buffet dinner
SUNDAY, June 13
Keynotes
09.15-10.15
Decomposing ERPs of GO NOGO task into independent components: applications for ADHD and schizophrenia
Yuri Kropotov
Laboratory for Neurobiology of Action Programming, Institute of the Human Brain of Russian Academy of Sciences
10.15-11.15
New blind source separation algorithms and applications in ECG signals
Asoke Nandi
Department of Electrical Engineering & Electronics, The University of Liverpool
11.15-11.35
Coffee and refreshments
Plenary
11.35-12.20
Independent component analysis of deep EEG measurements
Jarno M. A. Tanskanen
Department of Biomedical Engineering, Tampere University of Technology
12.20-13.30
Lunch
13.30 -14.15
Oral session
Reference estimation using blind source separation [pdf]
Radu Ranta*1, Ricardo Salido-Ruiz1, Valérie Louis-Dorr1 & Laurent Koessler1,2
1 CRAN, UMR 7039 Nancy Université – CNRS, France
2 Neurology Service, CHU Nancy, France
Event-related potential differences between familiar face and familiar name encoding: a noninvasive source analysis approach
Ina Tarkka
Department of Health Sciences, University of Jyväskylä
*Presenting author
Plenary
14.15-15.00
More independent EEG components tend to be more dipolar [pdf]
Arnaud Delorme
Institute for Neural Computation, University of California San Diego
15.00-15.15
Coffee and refreshments
15.15-16.00
Adapting to non-stationarity in EEG using a mixture of multiple ICA models [pdf]
Jason Palmer
Institute for Neural Computation, University of California San Diego
16.00-16.15
Conclusion
Paavo Leppänen, Chairman, the Organizing Committee
Department of Psychology, University of Jyväskylä