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Submit a Manuscript to the Journal
Brain-Apparatus Communication: A Journal of Bacomics

For a Special Issue on
Deep Learning Methodology and Applications for Brain-Apparatus Conversation

Manuscript deadline
31 December 2022

Cover image - Brain-Apparatus Communication: A Journal of Bacomics

Special Issue Editor(s)

Yangsong Zhang, School of Computer Science and Technology, Center for Brain Science and Medical Artificial Intelligence, Southwest University of Science and Technology, Mianyang 621010, China
[email protected]

Yu Sun, Key laboratory for Biomedical Engineering of Ministry of Education of China, Department of Biomedical Engineering, Zhejiang University, Hangzhou 310007, China
[email protected]

Quanying Liu, Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, 518055, China
[email protected]

Submit an ArticleVisit JournalArticles

Deep Learning Methodology and Applications for Brain-Apparatus Conversation

Dear Colleagues,

Data analysis is vital for mining useful information behind the original imaging data of brain and living organs. Recent advances in signal processing technology and machine learning methods improve our understanding about how the brain works and how it interacts with other entities, with exciting potential to lead to innovative clinical and non-clinical applications. Most recently, deep learning (DL) has received increasing attention and achieved impressive progress for data analysis in biomedical engineering field.

The aim of this Special Issue is launched to present and discuss the most recent advances of DL methods emerging in the cognitive neuroscience, clinical neurology, neural engineering, etc. We are inviting original research work that covering novel theories, innovative methods, advanced technologies, instructive applications in experimental and clinical research, which can potentially lead to significant advances in the rapidly emerging interdisciplinary field of Brain-Apparatus Conversation (BAC).

The research fields including but not limited to:

  • DL assisted physiological signal acquisition and denoising methods
  • Brain source imaging technologies
  • Brain mechanisms exploration invarious cognitive tasks
  • Brain disease prediction and diagnosis methods
  • Data analysis and data generation in various brain-non-living machine/apparatus interaction (BMI) and brain-living organ communication (BOC)
  • DL assisted practical and clinical applications
  • Brain-inspired DL models
  • Brain-inspired interpretability analysis for DL
  • Association between large-scale pretrained models and the brain mechanisms
  • Research on the learning theory of the brain or DL
  • Qualitative and quantitative reviews that focus on the development and application of DL methods

Submission Instructions

  • -Select " Deep Learning Methodology and Applications for Brain-Apparatus Conversation”  when submitting your paper to ScholarOne
  • -Original research papers and qualitative and quantitative review  papers that will be accepted
  • - Expected publication dates:  around the second quarter of 2023

Instructions for AuthorsSubmit an Article

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