BrainKDD2016 2016 : The 3nd International Workshop on Data Mining and Visualization for Brain Science
Call For Papers
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
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.
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
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.