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
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)?
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
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 ( http://mlin.kyb.tuebingen.mpg.de/ ).
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
- October 1, 2012 - paper submission
- October 15, 2012 - notification of acceptance/rejection
- December 7-8, 2012 - Workshop in Lake Tahoe, Nevada US, following the
Jack Gallant (UC Berkeley)
Bertrand Thirion (INRIA, Neurospin)
Jean-Baptiste Poline (Neurospin)
Mert Sabuncu (MGH, Harvard Medical School)
(more to be confirmed)
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)