Connectionists: CFP: BrainKDD'16 - The 3nd International Workshop on Data Mining and Visualization for Brain Science

[Xinsong Yang]

BrainKDD: The 3nd International Workshop on Data Mining and Visualization
for Brain Science

in conjunction with

ACM Conference on Bioinformatics, Computational Biology, and Health
Informatics (BCB'16)

October 2nd, 2016, Seattle, USA



 https://sites.google.com/site/brainkdd2016/



Understanding brain function is one of the greatest challenges facing
science. Today, brain science is experiencing rapid changes and is expected
to achieve major advances in the near future. In April 2013, U.S. President
Barack Obama formally announced the Brain Research through Advancing
Innovative Neurotechnologies Initiative, the BRAIN Initiative. In Europe,
the European Commission has recently launched the European Human Brain
Project (HBP). In the private sector, the Allen Institute for Brain Science
is embarking on a new 10-year plan to generate comprehensive, large-scale
data in the mammalian cerebral cortex under the MindScope project. These
ongoing and emerging projects are expected to generate a deluge of data
that capture the brain activities at different levels of organization.
There is thus a compelling need to develop the next generation of data
mining, visualization and knowledge discovery tools that allow one to make
sense of this raw data and to understand how neurological activity encodes
information.



This workshop will focus on exploring the forefront between computer
science and brain science and inspiring fundamentally new ways of mining,
visualization and knowledge discovery from a variety of brain data. The
presentations and discussions of this workshop will lead to novel insight
sand knowledge on the function and dysfunction of brain at various levels,
ranging from molecular, cellular, circuitry to systems levels by mining,
integrating, and interpreting large-scale, multi-modality brain data. This
will be achieved by bringing together neuroscientists and computer
scientists in a dedicated workshop that consists of invited talks, paper
and poster presentations, and interactive panel discussions. The list of
tentative topics includes:

·         Mining of *in situ* hybridization and microarray gene expression
data

·         Mining of brain connectivity and circuitry data

·         Mining of structural and functional MRI data

·         Mining of EEG and related data

·         Mining of temporal developing brain data

·         Mining of spatial neuroimaging data

·         Integrative mining of multi-modality brain data

·         Mining of diseased brain data, such as Alzheimer's disease,
Parkinson's disease, and schizophrenia

·         Segmentation and registration of neuroimaging data

·         Visualization of brain connectivity data

·         Visualization of neuroimaging data

·         Visualization of brain genetics data



*Important Dates:*



Workshop paper submissions:  June 17, 2016

Workshop paper notifications:  July 15, 2016

Final submission of workshop program and materials:    July 29, 2016

Workshop date:                 October 2, 2016



All deadlines are at 11:59 PM Pacific Standard Time.



*Submission Instructions:*



Papers should be prepared using the ACM Proceedings Format
http://www.acm.org/sigs/publications/proceedings-templates#aL2 and should
be at most 10 pages long. Authors are encouraged to submit shorter papers
than the maximal length. Paper should be submitted in PDF format through
the following link: https://easychair.org/conferences/?conf=brainkdd2016



*Publication:*


The authors of accepted workshop papers will be invited to adapt their
papers for being published in BMC Bioinformatics (impact factor 2.6), or
Brain Informatics, subject to additional peer reviews.
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