Brain Informatics  
Volume 1

An International Open-Access Journal

Publisher: Springer Open
ISSN: 2198-4018 (Print)
2198-4026 (Online)
Contents: Current Issue
Abstracted/Indexed in: PubMedCentral, INSPEC, EMBASE, Google Scholar, CNKI, DBLP, DOAJ, EBSCO Discovery Service, EBSCO TOC Premier, OCLC, Summon by ProQuest

Online Paper Submission
Author Tutorial
Reviewer Tutorial

Aims and Scope

Brain Informatics (BI) is an international, peer-reviewed, interdisciplinary open-access journal published under the brand SpringerOpen, which provides a unique platform for researchers and practitioners to disseminate original research on computational technologies related to the human brain and cognition. This journal will publish high-quality original research papers, brief reports and critical reviews in all theoretical, technological, clinical and interdisciplinary studies that make up the field of brain informatics and its applications in brain-inspired intelligent systems, health studies, etc.

The Brain Informatics journal addresses the computational, cognitive, physiological, biological, physical, ecological and social perspectives of brain informatics, as well as topics relating to mental health and well-being. It also welcomes emerging information technologies, including but not limited to Internet/Web of Things (IoT/WoT), cloud computing, big data analytics and interactive knowledge discovery related to brain research. The journal also encourages submissions that explore how advanced computing technologies are applied to and make a difference in various large-scale brain studies and their applications.

Informatics-enabled studies are transforming brain science. New methodologies enhance human interpretive powers when dealing with big data sets increasingly derived from advanced neuro-imaging technologies, including fMRI, PET, MEG, EEG and fNIRS, as well as from other sources like eye-tracking and from wearable, portable, micro and nano devices. New experimental methods, such as in toto imaging, deep tissue imaging, opto-genetics and dense-electrode recording are generating massive amounts of brain data at very fine spatial and temporal resolutions. These technologies allow measuring, modeling, managing and mining of multiple forms of big brain data. Brain informatics techniques for analyzing all the data will help achieve a better understanding of human thought, memory, learning, decision-making, emotion, consciousness and social behaviors. These methods also assist in building brain-inspired, human-level wisdom-computing paradigms and technologies, improving the treatment efficacy of mental health and brain disorders.

This is an open access journal, which is freely accessible online to anyone, anywhere. The open access fees (article-processing charges) are fully sponsored. Authors can publish in the journal without any additional charges.


Ning Zhong, Maebashi Institute of Technology, Japan
Hanchuan Peng, Allen Institute for Brain Science, US

Associate Editors

Jan G. Bazan, University of Rzeszow, Poland
Weidong Cai,The University of Sydney, Australia
Lin Chen, Institute of Biophysics, Chinese Academy of Sciences, China
W. Art Chaovalitwongse, University of Washington, USA
Yiuming Cheung, Hong Kong Baptist University, Hong Kong
Hong-Wei Dong, University of Southern California, USA
Richard Frackowiak,CHUV University Hospital, Switzerland
Karl Friston, University College London, UK
Vinod Goel, York University, Canada
Geoffrey Goodhill, University of Queensland, Australia
Yike Guo, Imperial College London, UK
Andreas Holzinger, Medical University Graz, Austria
Frank D. Hsu, Fordham University, USA
Yong He, Beijing Normal University, China
Bin Hu, Lanzhou University, China
Runhe Huang, Hose University, Japan
Zhisheng Huang, Vrije University of Amsterdam, The Netherlands
Kazuyuki Imamura, Maebashi Institute of Technology, Japan
Tianzi Jiang, Institute of Automation, Chinese Academy of Sciences, China
Marcel Just, Carnegie Mellon University, USA
Abbas Kouzani, Deakin University, Australia
Renaud Lambiotte, University of Namur, Belgium
Anders Lansner, KTH Royal Institute of Technology, Sweden
Caroline Li, University of Kent, UK
Kuncheng Li, Xuanwu Hospital, Capital Medical University, China
Yan Li, University of Southern Queensland, Australia
Xiaohui Liu, Brunel University, UK
Kazuhiro Oiwa, National Institute of Information and Communications Technology, Japan
Marcello Pelillo, University of Venice, Italy
Tomaso Poggio, Massachusetts Institute of Technology, USA
David Powers, Flinders University, Australia
Lael Schooler, Max Planck Institute, Germany
Abdulkadir Sengur, Firat University, Turkey
Dinggang Shen, UNC School of Medicine, USA
Shinsuke Shimojo, California Institute of Technology, USA
Hava Siegelmann, University of Massachusetts Amherst, USA
Daniel L. Silver, Acadia University, Canada
Dominik Slezak, The University of Warsaw & Infobright Inc., Poland
Diego Sona, Italian Institute of Technology, Italy
John F. Sowa,VivoMind Intelligence LLC, USA
Ron Sun, Rensselaer Polytechnic Institute, USA
Thomas Trappenberg, Dalhousie University, Canada
Frank Van Der Velde, University of Twente, The Netherlands
Leendert van Maanen, University of Amsterdam, The Netherlands
Juan D. Velasquez, University of Chile, Chile
Benjamin W. Wah, Chinese University of Hong Kong, Hong Kong
Gang Wang, Anding Hospital, Capital Medical University, China
Guoyin Wang, Chongqing University of Posts and Telecommunications, China
Nowinski Wieslaw, Agency for Science Technology and Research, Singapore
Jinglong Wu, Okayama University, Japan
Zongben Xu, Xi'an Jiaotong University, China
Yiyu Yao, University of Regina, Canada
Philip Yu, University of Illinois, Chicago, USA
Fabio Massimo Zanzotto, University of Rome "Tor Vergata", Italy
Yanqing Zhang, Georgia State University, USA
Xinian Zuo, Institute of Psychology, Chinese Academy of Sciences, China

Editorial Office Contact

Jian Yang, (

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