Pattern recognition techniques have become a staple of neuroimaging data analysis, with several open source dedicated toolboxes available to a large audience, in a variety of languages. In parallel, there has been a large increase in the availability of publicly available datasets, which routinely comprise several hundred subjects. Not only has the amount of data increased, but the variety of modalities available openly has also kept up, with behavioral test results, biomarker data, genotype and gene expression data now becoming abundant. This has created new challenges for storage and distribution of neuroimaging data, and given more importance to informatics infrastructures. This state of affairs has also further emphasized the critical role of multivariate modeling techniques, in particular those techniques that can handle multiple modalities, such as partial least squares, joint/parallel ICA, or canonical correlation analysis and their sparse and regularized versions. The dialogue between producers and consumers of multivariate, predictive modeling methods is ongoing, with great benefits for all involved.

After Istanbul, Seoul, London, Philadelphia, and Tübingen, the 5th International Workshop on Pattern Recognition in NeuroImaging will continue to facilitate exchange of ideas between scientific communities, with a particular interest in methods to deal with large-scale neuroimaging data, and what novel insights can be gained from datasets with hundreds of subjects. The single-track workshop will feature three tutorials, three keynote addresses, several contributed presentations of peer-reviewed papers, and a rich social programme.


** Topics of interest
PRNI welcomes original papers on predictive models of neuroimaging data, using e.g. fMRI, sMRI, EEG, MEG, ECoG modalities, including but not limited to the following

* Learning & inference on neuroimaging data
Multimodal learning
Causal modeling
Dynamic and time-varying models
Graph kernels

* Large-scale open neuroimaging datasets
Distributed learning
Meta- and mega-analysis frameworks
Approximate inference for large-scale data
Tools and languages for efficient

* Applications
Imaging genomics
Neurorehabilitation
Affective sciences
Perception

** Submission Guidelines and Proceedings
Authors should prepare original full papers with a maximum length of 4 pages (double-column, PDF) for review. Proceedings will be submitted to the IEEExplore and CS Digital Library online repositories, and submitted for indexing in IET INSPEC, EI Compendex (Elsevier), Thomson ISI, and others. Selected papers will participate in an upcoming journal special issue.

More details:

https://sites.google.com/site/prni2015/

** Important Dates
Paper submission deadline: 4th of March, 2015
Acceptance notification: 8th of April, 2015
Workshop: 10th-12th of June, 2015

** Programme Commmittee

A. Abdulkadir (U. of Freiburg, DE)
R. Abugharbieh (UBC, CA)
A. Altmann (Stanford U., US)
J. Ashburner (UCL, UK)
L. Baldassarre (EPFL, CH)
B. Blankertz (TU Berlin, DE)
C. Caballero Gaudes (BCBL, ES)
V. Calhoun (MRN, US)
P. Ciuciu (CEA/NeuroSpin & INRIA Parietal, FR)
C. Davatzikos (U. of Pennsylvania, US)
S. Deverajan (IIS Bangalore, IN)
O. Doyle (KCL, UK)
Y. Fan (U. of Pennsylvania, US)
E. Formisano (Maastricht U., NL)
C. Gaser (U. of Jena, DE)
P. Golland (MIT, US)
C. Gorgolewski (Stanford U., US)
C. Gouy-Pailler (CEA, FR)
A. Gramfort (Telecom ParisTech/CNRS, FR)
L. Grosenick (Stanford U. US)
B. Hamadicharef (NUS, SG)
L. Hansen (DTU, DK)
G. Hamarneh (SFU, CA)
L. Hansen (DTU, DK)
T. Jiang (CASIA, CN)
Y. Kamitani (ATR CNS, JP)
K. Kryszczuk (ZHAW, CH)
S. Laconte (VTC, US)
J. Lee (Korea U., KR)
F. Lotte (INRIA Bordeaux Sud-Ouest, FR)
A. Marquand (Radboud U. Nijmegen, NL)
V. Murino (Istituto Italiano di Tecnologia, IT)
C. Phillips (U. of Liege, BE)
S. Plis (MRN, US)
R. Poldrack (Stanford U., US)
F. Renard (CNRS, FR)
A. Rokem (Stanford U., US)
J. Rondina (UCL, UK)
M. Rosa (UCL, UK)
N. Schuff (UCSF and VA Medical, US)
F. Segovia (University of Liège, BE)
D. Sona (IIT, IT)
S. Strother (Rotman Research Institute Baycrest and U. of Toronto, CA)
S. Takerkart (CNRS/INT, FR)
B. Thirion (INRIA Saclay, FR)
D. Tosun (UCSF, US)
D. Van De Ville (EPFL, CH)
M. Van Gerven (Radboud U. Nijmegen, NL)
P. Vemuri (Mayo Clinic, US)
S. Viswanathan (UCSB, US)
P. Vuilleumier (U. of Geneva, CH)
C. Wallraven (Korea U., KR)
J. Ye (KAIST, KR)
T. Zander (TU Berlin, DE)


** Organising Committee

Chairs
V. Menon (Stanford U., US)
JB Poline (UC Berkeley, US)

Programme Chairs
S. Ryali (Stanford U., US)
T. Chen (Stanford U., US)
B. Ng (Stanford U., US)
S. Koyejo (Stanford U., US)

Local Chair
K. Supekar (Stanford U. US)

Social Chair
J. Schrouff (Stanford U., US)

Finance & Sponsorship Chair
J. Richiardi (U. of Geneva, CH)