[Neuroinfo] PRNI 2016: final call for papers (deadline extended to 24 March)

[Jo Etzel]

          ******* please accept our apologies for cross-posting *******
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               FINAL CALL FOR PAPERS: SUBMISSION NOW ENDING 24 MARCH
                                 PRNI 2016
      6th International Workshop on Pattern Recognition in Neuroimaging

                             22-24 June 2016
              Fondazione Bruno Kessler (FBK), Trento, Italy
          www.prni.org - @PRNI2016 - www.facebook.com/PRNI2016/
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Paper submission deadline:    24 March 2016, 11:59 pm PST
Acceptance notification:      22 April 2016
Camera-ready paper deadline:  7 May 2016
Oral and poster sessions:     22-24 June 2016

Pattern recognition techniques have become an important tool for 
neuroimaging data analysis. These techniques are helping to elucidate 
normal and abnormal brain function, cognition and perception, anatomical 
and functional brain architecture, biomarkers for diagnosis and 
personalized medicine, and as a scientific tool to decipher neural 
mechanisms underlying human cognition. The International Workshop on 
Pattern Recognition in Neuroimaging (PRNI) aims to: (1) foster dialogue 
between developers and users of cutting-edge analysis techniques in 
order to find matches between analysis techniques and neuroscientific 
questions; (2) showcase recent methodological advances in pattern 
recognition algorithms for neuroimaging analysis; and (3) identify 
challenging neuroscientific questions in need of new analysis approaches.


PRNI welcomes submissions on topics including, but not limited to:

* Learning from neuroimaging data
- Algorithms for brain-state decoding or encoding
- Optimization and regularization
- Bayesian analysis of neuroimaging data
- Causal inference and time delay techniques
- Network and connectivity models (the connectome)
- Dynamic and time-varying models
- Dynamical systems and simulations
- Empirical mode decomposition, multiscale decompositions
- Combination of different data modalities
- Efficient algorithms for large-scale data analysis

* Interpretability of models and results
- High-dimensional data visualization
- Multivariate and multiple hypothesis testing
- Summarization and presentation of inference results

* Applications
- Disease diagnosis and prognosis
- Real-time decoding of brain states
- Analysis of resting-state and task-based data
- MEG, EEG, structural MRI, fMRI, diffusion MRI, ECoG, NIRS


Authors should prepare full papers with a maximum length of 4 pages (two 
column IEEE style) for double-blind review. Manuscript submission is now 
open, and ends 24 March 2016, 11:59 pm PST. Accepted manuscripts will be 
assigned either to an oral or poster sessions; all accepted manuscripts 
will be included in the workshop proceedings, which will be published by 
the IEEE.