ASPBN 2016 - Special Issue on Advanced Signal Processing in Brain Networks

IEEE Journal on Selected Topics in Signal Processing
Special Issue on Advanced Signal Processing in Brain Networks
We are soliciting methods-oriented contributions about modelling brain networks.
* Topics of Interest
- Multi-layer/multiplex networks
- Various types of brain data including (f)MRI, M/EEG, NIRS, ECoG/multi-electrode arrays, genomics
- Novel subspace decompositions (e.g., tensor models, sparsity-driven regularization, low-rank
properties)
- Multiscale decompositions (e.g., graph wavelets)
- Advanced statistical inference (e.g., two-step procedures, Riemannian statistics)
- Machine learning (e.g., graph kernels, structured penalties, deep neural networks)
- Dynamical systems and simulation approaches
- Time delay techniques for brain networks
- Big data methods for brain networks (e.g., approximate inference, distributed computing on graphs)
- Dynamical graphical models (e.g., Bayesian non-parametrics, structure learning)
- Clustering (e.g., overlapping/fuzzy communities)
* Submission deadline
November 1, 2015
* Guest editors
Dimitri Van De Ville (Ecole Polytechnique Federale de Lausanne and University of Geneva, Switzerland)
Viktor Jirsa (Aix-Marseille University, France)
Stephen Strother (Rotman Research Institute, Baycrest and University of Toronto, Canada)
Jonas Richiardi (University of Geneva, Switzerland)
Andrew Zalesky (The University of Melbourne, Australia)
* Details
http://www.signalprocessingsociety.org/publication...