[pymvpa] Final CFP (updated): MLINI-2012: 2nd Workshop on Machine Learning and Interpretation in Neuroimaging at NIPS-2012

Brian Murphy brianmurphy at cmu.edu
Sun Sep 30 12:39:08 UTC 2012

[please note deadline extension and updated page limits]

Call for Papers

  MLINI-2012:  2nd  Workshop on Machine Learning and Interpretation 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
  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
  - 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

  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 6 pages
  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,
     T?bingen, Germany)
  Georg Langs (Medical University of Vienna, CSAIL, MIT)
  Bjoern Menze (ETH Zuerich, CSAIL, MIT)
  Brian Murphy (Machine Learning Department, Carngie Mellon
  Irina Rish (IBM T.J. Watson Research Center)

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