Neural Engineering Informatics

Submission Deadline: 31 July 2019

IEEE Access invites manuscript submissions in the area of Neural Engineering Informatics.

Given the important challenges associated with the processing of brain signals obtained from neuroimaging modalities, cognitive systems have been proposed as useful and effective frameworks for the modeling and understanding of brain activity patterns. They also enable direct communication pathways between the brain and external devices (brain computer/machine interfaces). However, most of the research so far has focused on lab-based applications in constrained scenarios, which cannot be extrapolated to realistic field contexts. Considering the decoding of brain activity, biomedical engineers provide excellent tools to overcome the challenge of learning from brain activity patterns that are very likely to be affected by non-stationary behaviors and high uncertainty. The application of health and neural engineering to learning and modeling has recently demonstrated its remarkable usefulness for coping with the effects of extremely noisy environments, as well as the variability and dynamicity of brain signals. Additionally, neurobiological studies have suggested that the behavior of neural cells exhibits functional patterns that resemble the properties of computational neuroscience to encode logical perception. This paves the way for developing new computational neuroscience techniques in medicine and healthcare that foster the capabilities for modeling and understanding brain function from a quantitative point of view, which is also the basis of this Special Section in IEEE Access.

The topics of interest include, but are not limited to:

  • Novel models and theoretical computational learning for the synthesis and analysis of neuroimaging data: EEG, MEG, fMRI /MRI, PET/SPECT, fNIRS, DOI, EROS, etc
  • Modeling and learning for the recognition of cognitive processes including medical informatics and public health informatics
  • Bioinformatics decoding of brain activity patterns and brain computer/machine interfaces (BCI/BMI)
  • Imaging Informatics that explain the structure and function of the human brain in patients
  • Neuro methods for big data neuroimaging analytics and neuro-informatics
  • Hardware architectures in health and neuro-engineering


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Associate Editor:  Zehong Cao, University of Technology Sydney, Australia

Guest Editors:

  1. Peng Xu, University of Electronic Science and Technology of China, China
  2. Zhiguo Zhang, Shenzhen University, China
  3. Gang Wang, Xi’an JiaoTong University, China
  4. Samu Taulu, University of Washington, USA
  5. Leandro Beltrachini, Cardiff University, UK


Relevant IEEE Access Special Sections:

  1. Healthcare Information Technology for the Extreme and Remote Environments
  2. Advanced Information Sensing and Learning Technologies for Data- centric Smart Health Applications
  3. Trends, Perspectives and Prospects of Machine Learning Applied to Biomedical Systems in Internet of Medical Things

IEEE Access Editor-in-Chief:
Michael Pecht, Professor and Director, CALCE, University of Maryland

Paper submission: Contact Associate Editor and submit manuscript to:

For inquiries regarding this Special Section, please contact: or