Call for Papers
MLINI-2013: 3rd Workshop on Machine Learning and Inference in Neuroimaging at NIPS-2013
December 9-10, 2013, Lake Tahoe, Nevada, United States
Submission deadline: October 11th, 2013
MLINI is a two day workshop on the topic of machine learning approaches in neuroscience and neuroimaging. The goal of the workshop is to pinpoint the most pressing issues and common challenges across the fields, and to sketch future directions and open questions in the light of novel methodology. The workshop aims at providing a forum that joins machine learning, neuroscience, psychology and psychiatry community, and should facilitate formulating and discussing the issues at their interface. Motivated by two previous workshops, MLINI '11 and MLINI'12, we will center this workshop around invited talks, and two panel discussions. Triggered by these discussions, this year we plan to adapt the workshop topics to a less traditional scope that investigates the role of machine learning in neuroimaging of both animals and humans, as well as in behavioral models and psychology.
Open questions and possible topics for contribution will be structured around the following 4 main topics:
- Machine learning and pattern analysis methodology in neuroimaging
- Functional networks and dynamical models of the brain
- Multi-modal analysis of mental state inference from imaging and/or behavioral data
- Linking machine learning, neuroimaging and neuroscience
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.
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.
We seek for submission of original (previously unpublished) research papers.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.
- October 11, 2013 - paper submission
- October 26, 2012 - notification of acceptance/rejection
- December 9-10, 2013 - Workshop in Lake Tahoe, Nevada US, following the NIPS conference
Guillermo Cecchi (IBM T.J. Watson Research Center)
Kai-min Kevin Chang (Language Technologies Institute, Carnegie Mellon University)
Georg Langs (Medical University of Vienna, CSAIL, MIT)
Brian Murphy (Machine Learning Department, Carngie Mellon University)
Irina Rish (IBM T.J. Watson Research Center)