Skip to main content
Springer Nature Link
Log in

Human Brain and Artificial Intelligence

Second International Workshop, HBAI 2020, Held in Conjunction with IJCAI-PRICAI 2020, Yokohama, Japan, January 7, 2021, Revised Selected Papers

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Yueming Wang

    1. Zhejiang University, Hangzhou, China

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Communications in Computer and Information Science (CCIS, volume 1369)

Included in the following conference series:

Conference proceedings info: HBAI 2021.

  • 7742 Accesses

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

About this book

This book constitutes the refereed proceedings of the Second International Workshop on Human Brain and Artificial Intelligence, HBAI 2020, held in conjunction with IJCAI-PRICAI 2020, Kyoto, Japan, in January 2021. Due to the COVID-19 pandemic HBAI 2020 was held in  the year 2021 and transferred into virtual format.  

The 11 full papers presented were carefully reviewed and selected from 12 submissions. The papers present most recent research in the fields of brain-inspired computing, brain-machine interfaces, computational neuroscience, brain-related health, neuroimaging, cognition and behavior, learning, and memory, neuron modulation, and closed-loop brain stimulation.

Similar content being viewed by others

Keywords

Table of contents (11 papers)

  1. Front Matter

    Pages i-viii
    Download chapter PDF

  2. ARLIF: A Flexible and Efficient Recurrent Neuronal Model for Sequential Tasks

    • Daiheng Gao, Zhenzhi Wu, Yujie Wu, Guoqi Li, Jing Pei
    Pages 1-13

  3. Models of Human Behavioral Agents in Bandits, Contextual Bandits and RL

    • Baihan Lin, Guillermo Cecchi, Djallel Bouneffouf, Jenna Reinen, Irina Rish
    Pages 14-33

  4. Machines Develop Consciousness Through Autonomous Programming for General Purposes (APFGP)

    • Juyang Weng
    Pages 34-55

  5. Incorporating Task-Related Information in Dimensionality Reduction of Neural Population Using Autoencoders

    • Qi Lian, Yunzhu Liu, Yu Zhao, Yu Qi
    Pages 56-71

  6. Effective and Efficient ROI-wise Visual Encoding Using an End-to-End CNN Regression Model and Selective Optimization

    • Kai Qiao, Chi Zhang, Jian Chen, Linyuan Wang, Li Tong, Bin Yan
    Pages 72-86

  7. Deep Insights into Graph Adversarial Learning: An Empirical Study Perspective

    • Jintang Li, Zishan Gu, Qibiao Peng, Kun Xu, Liang Chen, Zibin Zheng
    Pages 87-101

  8. Brain-Controlled Robotic Arm Based on Adaptive FBCCA

    • Dong Zhang, Banghua Yang, Shouwei Gao, Xuelin Gu
    Pages 102-112

  9. Automatic Sleep Spindle Detection and Analysis in Patients with Sleep Disorders

    • Chao Chen, Xuequan Zhu, Abdelkader Nasreddine Belkacem, Lin Lu, Long Hao, Jia You et al.
    Pages 113-124

  10. Diagnosing Parkinson’s Disease Using Multimodal Physiological Signals

    • Guoxin Guo, Shujie Wang, Shuaibin Wang, Zhiyu Zhou, Guangying Pei, Tianyi Yan
    Pages 125-136

  11. Emotion Recognition Using Multi-core Tensor Learning and Multimodal Physiological Signal

    • Hongyan Xu, Jiajia Tang, Jianhai Zhang, Li Zhu
    Pages 137-148

  12. A Review of Transfer Learning for EEG-Based Driving Fatigue Detection

    • Jin Cui, Yong Peng, Kenji Ozawa, Wanzeng Kong
    Pages 149-162

  13. Back Matter

    Pages 163-163
    Download chapter PDF
Back to top

Other volumes

  1. Human Brain and Artificial Intelligence

Editors and Affiliations

  • Zhejiang University, Hangzhou, China

    Yueming Wang

Bibliographic Information

  • Book Title: Human Brain and Artificial Intelligence

  • Book Subtitle: Second International Workshop, HBAI 2020, Held in Conjunction with IJCAI-PRICAI 2020, Yokohama, Japan, January 7, 2021, Revised Selected Papers

  • Editors: Yueming Wang

  • Series Title: Communications in Computer and Information Science

  • DOI: https://doi.org/10.1007/978-981-16-1288-6

  • Publisher: Springer Singapore

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer Nature Singapore Pte Ltd. 2021

  • Softcover ISBN: 978-981-16-1287-9Published: 08 April 2021

  • eBook ISBN: 978-981-16-1288-6Published: 07 April 2021

  • Series ISSN: 1865-0929

  • Series E-ISSN: 1865-0937

  • Edition Number: 1

  • Number of Pages: VIII, 163

  • Number of Illustrations: 9 b/w illustrations, 47 illustrations in colour

  • Topics: Artificial Intelligence, Computer Applications, Image Processing and Computer Vision

Publish with us

Policies and ethics

Back to top