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Neural Information Processing

29th International Conference, ICONIP 2022, Virtual Event, November 22–26, 2022, Proceedings, Part II

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Mohammad Tanveer

    1. Indian Institute of Technology Indore, Indore, India

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  2. Sonali Agarwal

    1. Indian Institute of Information Technology - Allahabad, Prayagraj, India

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  3. Seiichi Ozawa

    1. Kobe University, Kobe, Japan

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  4. Asif Ekbal

    1. Indian Institute of Technology Patna, Patna, India

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  5. Adam Jatowt

    1. University of Innsbruck, Innsbruck, Austria

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13624)

Included in the following conference series:

Conference proceedings info: ICONIP 2022.

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Table of contents (36 papers)

  1. Front Matter

    Pages i-xxxiv
    Download chapter PDF

  2. Cognitive Neurosciences

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Differences in Brain Activation During Physics Problem Solving Across Students with Various Learning Progression: Electrophysiological Evidence Based on Detrended Fluctuation Analysis

      • Qian Wang, Hongan Wang, Huihua Deng, Yanmei Zhu
      Pages 3-12

    3. A Dynamic, Economical, and Robust Coding Scheme in the Lateral Prefrontal Neurons of Monkeys

      • Kazuhiro Sakamoto, Naohiro Saito, Shun Yoshida, Hajime Mushiake
      Pages 13-24

    4. Dynamic Characteristics of Micro-state Transition Defined by Instantaneous Frequency in the Electroencephalography of Schizophrenia Patients

      • Daiya Ebina, Sou Nobukawa, Takashi Ikeda, Mitsuru Kikuchi, Tetsuya Takahashi
      Pages 25-36

    5. Lagrange Programming Neural Networks for Sparse Portfolio Design

      • Hao Wang, Desmond Hui, Chi-Sing Leung
      Pages 37-48

    6. An Adaptive Convolution Auto-encoder Based on Spiking Neurons

      • Chuanmeng Zhu, Jiaqiang Jiang, Runhao Jiang, Rui Yan
      Pages 49-61

    7. Schizophrenia Detection Based on EEG Using Recurrent Auto-encoder Framework

      • Yihan Wu, Min Xia, Xiuzhu Wang, Yangsong Zhang
      Pages 62-73

    8. Functional Roles of Amygdala and Orbitofrontal Cortex in Adaptive Behavior

      • Layla Chadaporn Antaket, Kazuki Hamada, Yoshiki Kashimori
      Pages 74-85

    9. A Multiclass EEG Signal Classification Model Using Channel Interaction Maximization and Multivariate Empirical Mode Decomposition

      • Pankaj Kumar Jha, Anurag Tiwari, Amrita Chaturvedi
      Pages 86-100

    10. MVNet: Memory Assistance and Vocal Reinforcement Network for Speech Enhancement

      • Jianrong Wang, Xiaomin Li, Xuewei Li, Mei Yu, Qiang Fang, Li Liu
      Pages 101-112

    11. Learning Associative Reasoning Towards Systematicity Using Modular Networks

      • Jun-Hyun Bae, Taewon Park, Minho Lee
      Pages 113-122

    12. Identifying Dominant Emotion in Positive and Negative Groups of Navarasa Using Functional Brain Connectivity Patterns

      • Pankaj Pandey, Richa Tripathi, Gayatri Nerpagar, Krishna Prasad Miyapuram
      Pages 123-135

    13. A Cerebellum-Inspired Model-Free Kinematic Control Method with RCM Constraint

      • Xin Wang, Peng Yu, Mingzhi Mao, Ning Tan
      Pages 136-147

    14. Instrumental Conditioning with Neuromodulated Plasticity on SpiNNaker

      • Pavan Kumar Enuganti, Basabdatta Sen Bhattacharya, Andrew Gait, Andrew Rowley, Christian Brenninkmeijer, Donal K. Fellows et al.
      Pages 148-159

    15. A Phenomenological Deep Oscillatory Neural Network Model to Capture the Whole Brain Dynamics in Terms of BOLD Signal

      • Anirban Bandyopadhyay, Sayan Ghosh, Dipayan Biswas, Raju Bapi Surampudi, V. Srinivasa Chakravarthy
      Pages 160-171

    16. Explainable Causal Analysis of Mental Health on Social Media Data

      • Chandni Saxena, Muskan Garg, Gunjan Ansari
      Pages 172-183

    17. Brain-Inspired Attention Model for Object Counting

      • Abhijeet Sinha, Sweta Kumari, V. Srinivasa Chakravarthy
      Pages 184-193

  3. Human Centered Computing

    1. Front Matter

      Pages 195-195
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    2. Emotion Detection in Unfix-Length-Context Conversation

      • Xiaochen Zhang, Daniel Tang
      Pages 197-206
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Other volumes

  1. Neural Information Processing

  2. Neural Information Processing

  3. Neural Information Processing

  4. Neural Information Processing

  5. Neural Information Processing

  6. Neural Information Processing

  7. Neural Information Processing

Keywords

About this book

The three-volume set LNCS 13623, 13624, and 13625 constitutes the refereed proceedings of the 29th International Conference on Neural Information Processing, ICONIP 2022, held as a virtual event, November 22–26, 2022.


The 146 papers presented in the proceedings set were carefully reviewed and selected from 810 submissions. They were organized in topical sections as follows: Theory and Algorithms; Cognitive Neurosciences; Human Centered Computing; and Applications.


The ICONIP conference aims to provide a leading international forum for researchers, scientists, and industry professionals who are working in neuroscience, neural networks, deep learning, and related fields to share their new ideas, progress, and achievements.




Editors and Affiliations

  • Indian Institute of Technology Indore, Indore, India

    Mohammad Tanveer

  • Indian Institute of Information Technology - Allahabad, Prayagraj, India

    Sonali Agarwal

  • Kobe University, Kobe, Japan

    Seiichi Ozawa

  • Indian Institute of Technology Patna, Patna, India

    Asif Ekbal

  • University of Innsbruck, Innsbruck, Austria

    Adam Jatowt

Bibliographic Information

  • Book Title: Neural Information Processing

  • Book Subtitle: 29th International Conference, ICONIP 2022, Virtual Event, November 22–26, 2022, Proceedings, Part II

  • Editors: Mohammad Tanveer, Sonali Agarwal, Seiichi Ozawa, Asif Ekbal, Adam Jatowt

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-30108-7

  • Publisher: Springer Cham

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

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023

  • Softcover ISBN: 978-3-031-30107-0Published: 13 April 2023

  • eBook ISBN: 978-3-031-30108-7Published: 12 April 2023

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XXXIV, 441

  • Number of Illustrations: 25 b/w illustrations, 155 illustrations in colour

  • Topics: Pattern Recognition, Data Mining and Knowledge Discovery, Machine Learning, Computer Applications

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