Saturday, September 22, 2012

[Comp-neuro] Deadline Extension: MLINI-2012:  2nd  Workshop on Machine Learning and Inference in Neuroimaging at NIPS-2012

     Call for Papers  

     MLINI-2012:  2nd  Workshop on Machine Learning and Inference in Neuroimaging at NIPS-2012

    December 7-8, 2012, Lake Tahoe, Nevada, United States

    Submission deadline (extended): October 8, 2012
    Workshop Overview:

    MLINI is a two day workshop on the topic of machine learning
    approaches in neuroscience and neuroimaging. We believe that both
    machine learning and neuroimaging can learn from each other as the
    two communities overlap and enter an intense exchange of ideas and
    research questions. Methodological developments in machine learning
    spurn novel paradigms in neuroimaging, while neuroscience motivates
    methodological advances in computational analysis. In this context
    many controversies and open questions exist. The goal of the
    workshop is to pinpoint these issues, sketch future directions, and
    tackle open questions in the light of novel methodology.

    The first workshop of this series at NIPS 2011 built upon earlier
    events in 2006 and 2008. Last year's workshop included many invited
    speakers, and was centered around two panel discussions, during
    which 2 questions were discussed: the interpretability of machine
    learning findings, and the shift of paradigms in the neuroscience
    community. The discussion was inspiring, and made clear, that there
    is a tremendous amount the two communities can learn from each other
    benefiting from communication across the disciplines.  The aim of
    the 2nd MLINI workshop is to continue exploring important  issues on
    the intersection of ML and neuroimaging and further promote cross-
    fertilization between   these communities. Besides interpretation,
    and the shift of paradigms, many open questions remain. Among them:  
    How suitable are MVPA and inference methods for brain mapping?  
    How can we use these approaches for a flexible and useful
    representation of neuroimaging data?  
    What is the role of decoding vs. embedded or separate feature selection?  
    How can we assess the specificity and sensitivity?  
    What can we accomplish with generative vs. discriminative modelling?  
    Can and should the Machine Learning community provide a standard
    repertoire of methods for the Neuroimaging community to use (e.g. in
    choosing a classifier)?

    Workshop Format:

    In this two-day workshop we will explore perspectives and novel
    methodology at the interface of Machine Learning, Inference,
    Neuroimaging and Neuroscience. We aim to bring researchers from
    machine learning and neuroscience community together, in order to
    discuss open questions, identify the core points for a number of the
    controversial issues, and eventually propose approaches to solving  those issues.
    The workshop will be structured around the following main topics:
    - machine learning and pattern analysis methodology in neuroimaging
    - causal inference and interpretability in neuroimaging
    - evaluation of machine learning  methods  in light of clinical applications
    - linking machine learning methodology with neuroscience or
    neuroimaging questions
    Each session will be opened by 2-3 invited talks, and an in depth
    discussion. This will be followed by original contributions.
    Original contributions will also be presented and discussed during a
    poster session. The workshop will end with a panel discussion,
    during which we will address specific questions, and invited
    speakers will open each segment with a brief presentation of their opinion.

    This workshop proposal is part of the PASCAL2 Thematic Programme on
    Cognitive Inference and Neuroimaging  ( ).

    Paper Submission:
    We seek for submission of original (previously unpublished) research
    papers. The length of the submitted papers should not exceed 8 pages in
    Springer format,  excluding the references (LaTeX2e style  files are
    available on the workshop page).
    Submission of previously published work is possible as well, but the
    authors are required to mention this explicitly. Previously
    published work can be presented at the workshop, but will not be
    included into the workshop proceedings (which are considered peer-
    reviewed publications of novel contributions).  Moreover, the
    authors are welcome to present their novel work but choose to opt
    out of the workshop proceedings in case they have alternative
    publication plans.
    Important dates:
    -  October 1, 2012 - paper submission
    -  October 15, 2012  -  notification of acceptance/rejection
    -  December 7-8, 2012 -  Workshop in Lake Tahoe, Nevada US, following the
    NIPS conference

    Invited Speakers:
    Jack Gallant (UC Berkeley)
    Bertrand Thirion (INRIA, Neurospin)
    Jean-Baptiste Poline (Neurospin)
    Mert Sabuncu (MGH, Harvard Medical School)

            (more to be confirmed)

    Organizing Committee:
    Guillermo Cecchi (IBM T.J. Watson Research Center)
    Kai-min Kevin Chang (Language Technologies Institute, Carnegie Mellon University)
    Moritz Grosse-Wentrup (Max Planck Institute for Intelligent Systems, Tübingen, Germany)
    Georg Langs (Medical University of Vienna, CSAIL, MIT)
    Bjoern Menze (ETH Zuerich, CSAIL, MIT)
    Brian Murphy (Machine Learning Department, Carngie Mellon University)
    Irina Rish (IBM T.J. Watson Research Center)

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