Newsletter: Nonlinear Theory and Its Applications, IEICE (NOLTA) - July 2026

[NOLTA SOCIETY]

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Newsletter
Nonlinear Theory and Its Applications, IEICE (NOLTA) - July 2026 ISSUE-
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Nonlinear Theory and Its Applications, IEICE (NOLTA) is an all-electronic OA journal published quarterly by the Institute of Electronics, Information and Communication Engineers (IEICE).
NOLTA covers the entire field of nonlinear science, engineering and mathematics.
The journal home page: https://www.jstage.jst.go.jp/browse/nolta/-char/en



======= NEWS and INFORMATION ========

1. Information for Authors updated

The article processing charges have been revised as follows:
- IEICE and sister society members: JPY 132,000
- Non-members: JPY 154,000

In addition, beginning with the October 2026 issue, accepted papers will in principle be published online on J-STAGE soon after the payment is completed.

For details, please refer to our updated Information for Authors as follows:
https://www.ieice.org/nolta/journal/author/


2. LaTeX template file updated

The new template file for paper submissions (Version 6.0) has been released.
Please use the latest template for your submission;
https://www.ieice.org/nolta/journal/for_authors/NOLTA_Template.zip


3. Accepted for inclusion in Scopus

NOLTA, IEICE has been accepted for inclusion in Scopus provided by Elsevier, and is currently indexed in Scopus.
https://www.scopus.com/sourceid/21101288810


4. Journal Impact Factor

The Journal Impact Factor, provided by Clarivate, has been updated to 0.6 in June 2026.


5. Indexed in DOAJ

NOLTA, IEICE is indexed in the Directory of Open Access Journals (DOAJ).
https://doaj.org/toc/2185-4106


6. Invited Review series

NOLTA publishes a series of Invited Review papers contributed from top-notch researchers. You will find good articles for the latest knowledge you need.
The list of the Invited Review papers:
https://www.ieice.org/nolta/journal/invited_papers.html



======== LATEST ISSUE: Volume 17, Issue 3, 2026 ===============

https://www.jstage.jst.go.jp/browse/nolta/17/3/_contents/-char/en


TABLE OF CONTENTS

1. Special Section on Recent Progress in Nonlinear Theory and Its Applications

Foreword
Kenya Jin'no

Two-level quaternion-valued Hopfield networks
Masaki Kobayashi

Investigating Hierarchical Grouping in CNNs with Data-driven Superclass Construction
Jirayus Lapamnuaypol, Kenya Jin'no

C-Element-Based Latch with DNU Tolerance and SET Resilience Around Clock Edges
Song WANG, Xiangqing WEI, Ji WU, Kazuteru NAMBA

EB-RANSAC: Random Sample Consensus based on Energy-Based Model
Muneki Yasuda, Nao Watanabe, Kaiji Sekimoto

Velocity of the traveling intrinsic localized mode in the real self-dual nonlinear network lattice: Experiments and analysis
Masayuki Sato, Yukihiro Soga

How Batch Normalization Parameters Enable Parameter-Efficient CNN Transfer Learning via Adaptive Feature Selection
Sora Togawa, Kenya Jin'no

Latent diffusion model for super-resolution of rock CT images
Kosei Tomami, Atsushi Okamoto, Toshiaki Omori

Quantitative attractor analysis of high-capacity kernel Hopfield networks
Akira Tamamori

Self-organization and spectral mechanism of attractor landscapes in high-capacity kernel Hopfield networks
Akira Tamamori

Potential of contextual representations for genre classification of modern Japanese literary works using BERT
Katsumi Hamaguchi, Yuya Matsuda, Jousuke Kuroiwa

Structure-Aware Tile-Level Scheduling for Irregular CNNs on PE-Array Accelerators
Xiangqing WEI, Ji WU, Song WANG, YunJu BAEK, Kazuteru NAMBA

Data-driven Framework for Joint Estimation of Neural Membrane Potential and Calcium Dynamics
Nodoka Motonishi, Toshiaki Omori

Latent Structure Analysis for Relational Data with Attribute Information to Multiple Domains
Kenta Mikawa, Manabu Kobayashi, Tomoyuki Sasaki, Akiko Manada

Decentralized learning in dynamic edge systems via expertise collaboration and partial model integration
Gebreegziabher Hagos Berhe, Fumiya Arai, Takao Marukame, Tetsuya Asai, Kota Ando

Inertial Cubic Regularized Newton for Acceleration of Second-Order Optimization
Shahrzad Mahboubi, Hiroshi Ninomiya

Domain-Invariant Classification of AI-Generated Text via Context-Aware Function Word Analysis
Haruki Wakasa, Kenya Jin'no

Robust Visual Place Recognition via Modern Hopfield Networks and Foundation Models
Takanori Hashimoto, Teijiro Isokawa, Masaki Kobayashi, Naotake Kamiura

Effectiveness of a dimensional coupling method for OSNNs
Tomoyuki Sasaki, Hidehiro Nakano

A hardware-efficient ergodic sequential logic cochlear model capable of reproducing low-side and high-side suppressions of mammalian cochlea
Neo Ogawa, Hiroyuki Torikai

Dynamical personal authentication method based on natural facial movements
Shunpei Osaki, Yuya Matsuda, Jousuke Kuroiwa

Effect of Time Scale on Chaotic Time Series Prediction Using Echo State Network
Shion Yoshida, Kazuya Sawada, Tohru Ikeguchi

Integrating Semantic Structure and Texture Cues for Detecting Landscape Images Generated by Stable Diffusion-Based Models
Shusuke Ishida, Yuya Matsuda, Jousuke Kuroiwa, Tomohiro Odaka

Effects of Variations in Arm Shaking Actions and Attention Levels on the Time-Dependent Accuracy of Personal Authentication
Towa Kojiya, Yuya Matsuda, Jousuke Kuroiwa

Implementation of stochastic outputs in binary neural network based on majority logic and its approximation error
Kensei Suganuma, Tomoyuki Sasaki, Hidehiro Nakano

Adaptive parameter tuning of chaotic search using particle swarm optimization
Fengkai Guo, Takafumi Matsuura, Takayuki Kimura, Tohru Ikeguchi

Prediction of Soccer Penalty Kick Direction from Single-Joint Kinematics Using the Echo State Network
Shuya Amano, Ryosuke Hosaka

Wireless Brain-Inspired Computing for online learning applications
Ryuji Nagazawa, Haruto Ota, Kien Nguyen, Hiroyuki Torikai, Won-Joo Hwang, Hiroo Sekiya

Synchronization phenomena of robots with telescopic legs on a suspension bridge
Yuta Togashi, Tadashi Tsubone

Graph neural networks with boundary conditions based on ports in electrical circuits
Ayumu Suzuki, Takashi Hisakado

Building an Adjacency Graph of Point Cloud Segments for Surface Reconstruction Using an Autoencoder and Support Vector Classification
Yuya Matsuda, Kodai Katsuragawa, Jousuke Kuroiwa

A lightweight fusion localization framework integrating improved PDR and BLE location fingerprinting
Jingshi Qian, Nobuyoshi Komuro, Won-Suk Kim, Younghwan Yoo

Analysis of the Island Class Structure in Dimension-Deficient Deep Classifiers
Mizuki Dai, Kenya Jin’no

Effect of time history in coincidence among inputs on spatiotemporal learning rule
Takemori Orima, Yoshihiko Horio

Inter-Spike Interval Statistics of a Chaotic Spiking Neuron with Piecewise Constant Dynamics: Theoretical and Experimental Approaches
Yuta Morimitsu, Tadashi Tsubone

Improving performance of asynchronous pulse code multiple access by machine learning-based pulse detection
Mayu Horiuchi, Takuya Fujiwara, Ferdinand Peper, Kenji Leibnitz, Naoki Wakamiya, Maki Arai, Dae-Il Noh, Won-Joo Hwang, Jin Nakazato, Mikio Hasegawa

Dynamic Wireless Resource Allocation Using Ultra-High-Speed Decision Making via Laser Networks
Haruto Ando, Hirotaka Asano, Takatomo Mihana, Maki Arai, Jin Nakazato, Mikio Hasegawa

Power Distribution Optimization in MU-MIMO Using Spherical Mode Expansion
Shunta Naganuma, Maki Arai, Aohan Li, Jin Nakazato, Mikio Hasegawa



2. Regular Section

Spiking neural network by conversion from recurrent neural network for self-localization
Yuya Ito, Katsumi Tateno

Limited Improvement of Connectivity in Scale-Free Networks by Increasing the Power-Law Exponent
Yingzhou MOU, Yukio HAYASHI

Swapping-based online update of the kernel extended dynamic mode decomposition algorithm with low-rank approximation
YAMATO SAKURAI, KAYO KINJO, JUN OHKUBO

Extracting transient Koopman modes from short-term weather simulations with sparsity-promoting dynamic mode decomposition
Zhicheng Zhang, Yoshihiko Susuki, Atsushi Okazaki

Neural-centric perspective to extracting geometry of neural codes from single spike sequences
Xun Li, Lang Cao, Kazuyuki Aihara

Subcarrier Phase Randomization of BPSK-OFDM for Effective Distortion Power Reduction over Memoryless Nonlinear Channels
Ryota Ichikawa, Kazuki Komatsu, Hideyuki Uehara





=========CALL FOR PAPERS(SPECIAL Section)===============

https://www.ieice.org/eng_r/information/schedule/journals.php?type=05

July 2027 Issue
Special Section on Recent Progress in Nonlinear Theory and Its Applications
https://www.ieice.org/eng/s_issue/cfp/2027_7EN.pdf


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Editorial Committee
Nonlinear Theory and Its Applications, IEICE (NOLTA)
Contact: no...@ieice.org