BrainKDD 2014 - International Workshop on Data Mining for Brain Science
Topics/Call fo 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 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 and knowledge discovery from a variety of brain data. We encourage submissions in, but not limited to, the following areas:
? 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
This workshop will focus on exploring the forefront between computer science and brain science and inspiring fundamentally new ways of mining and knowledge discovery from a variety of brain data. We encourage submissions in, but not limited to, the following areas:
? 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
Other CFPs
- The 3rd ACM SIGKDD International Workshop on Urban Computing
- 2nd International Workshop on Multimodal Crowd Sensing (CrowdSens 2014)
- 2014 Workshop on Outlier Detection & Description under Data Diversity
- 13th USENIX Conference on File and Storage Technologies
- International Society for Bayesian Analysis World Meeting, ISBA 2014
Last modified: 2014-04-26 23:03:40