ECML workshop on connectomics

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Isabelle

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Mar 18, 2014, 1:54:34 PM3/18/14
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Neural Connectomics Workshop From Imaging to Connectivity
September 15 or 19, 2014 - Nancy, France

Description

Understanding the brain structure and some of its alterations caused by disease, is key to accompany research on the treatment of epilepsy and Alzheimer’s disease and other neuropathologies, as well as gaining understanding of the general functioning of the brain and its learning capabilities. At the neural level, recovering the exact wiring of the brain (connectome) including nearly 100 billion neurons, having on average 7000 synaptic connections to other neurons, is a daunting task. The goal of this workshop is to bring together researchers in machine learning and neuroscience to discuss progress and remaining challenges in this exciting and rapidly evolving field. We aim to attract machine learning and computer vision specialists interested in learning about a new problem, as well as computational neuroscientists who may be interested in modeling connectivity data. We will discuss also the results of the First ChaLearn Neural Connectomics Challenge.

Download the call for papers.

Invited speakers:

Elisha Moses, Weizmann Institute of Science, Israel: Keynote on "state of the art in neuro-imaging".
Florin Popescu, Fraunhofer Institute, Berlin, Germany: Keynote on "causal discovery in time series" .
Jordi Soriano, University of Barcelona, Spain: Tutorial on "Neuroscience and algorithm".

Topics of interest to the workshop include, but are not limited to:

• building connectomes from EM data
• building connectomes from fMRI data
• building connectomes from neurophysiology data
• bridging neuroanatomy and neurophysiology
• connectomics and learning
• neuroimaging technology advances
• network reconstruction algorithms
• causality in time series
• feature selection vs. causal discovery
• generative vs. discriminative modeling
• sharing data
• sharing code
• organizing new challenges
• establishing ground truth, benchmarking
• quantitative metrics of evaluation
• theoretical understanding

Important - Submission Guidelines:

We encourage contributions in any of these areas. We welcome 2-page short-formsubmissions and 6-page long-form submissions.  We also encourage submissions of previously-published material that is closely related to the workshop topic (for presentation only).

Everybody can attend the workshop even if he does not participate in the challenge. Challenge participants are encouraged to contribute a paper on their results and also submit papers for presentation on the topics of the workshop.

Submissions should be formatted using JMLR Workshop and Proceedings format.
The papers should be submitted via Easy Chair

Download the call for papers.

Organizers - Contact:

Vincent Lemaire, Orange, France
Demian Battaglia, Aix Marseille Université, France 
Isabelle Guyon, ChaLearn, California, USA
Jordi Soriano, University of Barcelona, Spain 

Organizing committee (confirmed):

• Javier M. Buldú (URJC, Madrid, Spain)
• Mario Chavez (UPMC, France)
• Frederick Eberhardt (Caltech, Los Angeles, USA) 
• Sergio Gomez (URV, Tarragona, Spain)
• Alice Guyon (UPMC, Sophia Antipolis, France)
• Antti Hyttinen (University of Helsinki, Finland) 
• Sisi Ma (NYU, New-York, USA)
• Adam Packer (UCL, London, UK)
• Jonas Peters (ETH Zuerich, Swtzerland)
• Florin Popescu (Fraunhofer Institute, Berlin, Germany)
• Bisaka Ray (NYU, New-York, USA)
• Alex Roxin (FCBR, Barcelona, Spain)
• Mehreen Saeed (Lahore Univ., Pakistan)
• Alexander Statnikov (New York University, USA)
• Miguel Valencia (Univ. De Navarra, Spain)
• Joshua Vogelstein (Duke Univ, North Carolina, USA)
• Gorka Zamora (BCCN, Berlin, Germany)
• Kun Zhang (Max Plank Institute for Intelligent Systems, Germany)
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