Connectionists: BRIN Special Issue on Brain Big Data in the Hyper World

[Ning Zhong]

Call for Papers: Special Issue on Brain Big Data in the Hyper World

Brain Informatics: Brain Data Computing and Health Studies (BRIN)
An International Journal (Springer)

Guest Editors:
Stephen S. Yau, Arizona State University, USA
Ning Zhong, Maebashi Institute of Technology, Japan

An emerging hyper world encompasses all human activities in a
social-cyber-physical space, in which big data are used as a bridge to
connect humans, computers, and things. It is a trend or attempt to
integrate brain big data into the hyper world for realizing the
harmonious symbiosis of humans, computers and things. Brain
informatics provides the key technique to implement the attempt by
offering informatics-enabled brain studies and applications in the
hyper world, which can be regarded as a brain big data cycle. This
brain big data cycle is implemented by various processing,
interpreting, and integrating multiple forms of brain big data
obtained from atomic and molecular levels to the entire brain. The
implementation involves using advanced neuroimaging technologies,
including fMRI, PET, MEG, EEG, as well as other sources like
eye-tracking and wearable, portable, micro and nano devices. Such
brain big data will not only help scientists improve their
understanding of human thinking, learning, decision-making, emotion,
memory, and social behavior, but also help cure disease, serve
health-care, facilitate environmental control and sustainability,
using human-centric information and computing technologies in the
hyper world.

This special issue will present some of the best work being done
worldwide to deal with fundamental issues, new challenges and
potential applications of brain big data in the hyper world.
Topics of interests include, but are not limited to:

- Hyper world and cyber individual model
- Future of brain big data and big data on the brain
- Assessing the brain's white matter with diffusion imaging
- A big brain vs. the main requirement for big data
- Big data in neuroimaging and connectome
- Heart to heart science
- Multimodal data analysis for depression early stage prediction
and intervention
- Multi-granular computing for brain big data
- Big data analytics and interactive knowledge discovery
with respect to brain cognition and mental health
- Big data policy for life and brain sciences and its implications
to future research

All manuscripts must be in English. The page limit is 11 pages for
each paper (210x279mm in Springer Journal Paper Style). Manuscripts
submitted for publication are reviewed by at least three peer
reviewers, according to the usual policies of the BRIN Journal.

Important Dates:
Paper submission deadline: April 30, 2014
First round notification: May 15, 2014
Final decision notification: May 31, 2014
Publication: June, 2014

Submission Instructions:
For submission instructions please visit the journal’s online
submission system at http://www.editorialmanager.com/brin,
have a look at the journal product page at http://www.springer.com/40708
or contact Prof. Ning Zhong at zhong at maebashi-it.ac.jp and
CC to Dr. Jian Yang at jianyang at bjut.edu.cn.