Overcoming Upper and Lower Bound Limitations of Input in Cortical Learning Algorithm

Authors

Takeru Aoki
Tomoaki TATSUKAWA
Qiang Zhang (ORCID: https://orcid.org/0000-0001-8482-8574)

Institutions

Tokyo University of Science (JP)

Publication Details

Journal: Journal of Japan Society for Fuzzy Theory and Intelligent Informatics
Published: 2025-11-14
DOI: https://doi.org/10.3156/jsoft.37.4_743
Primary Topic: EEG and Brain-Computer Interfaces
Type: article
Field-Weighted Citation Impact: 0.00

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article

Overcoming Upper and Lower Bound Limitations of Input in Cortical Learning Algorithm

Takeru Aoki, Tomoaki TATSUKAWA, Qiang Zhang

Nov 14, 2025

Journal of Japan Society for Fuzzy Theory and Intelligent Informatics

EEG and Brain-Computer Interfaces

article

Overcoming Upper and Lower Bound Limitations of Input in Cortical Learning Algorithm

Takeru Aoki, Tomoaki TATSUKAWA, Qiang Zhang

November 14, 2025article en

Abstract

No abstract available for this paper.

Journal of Japan Society for Fuzzy Theory and Intelligent InformaticsVol. 37(4)

Tokyo University of Science (JP)

Openalex Percentile: Top 65%

EEG and Brain-Computer Interfaces

DOI Open Access PDF OpenAlex

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Overcoming Upper and Lower Bound Limitations of Input in Cortical Learning Algorithm — Takeru Aoki, Tomoaki TATSUKAWA, et al. · Journal of Japan Society for Fuzzy Theory and Intelligent Informatics (2025) | TGRS Research Map | TGRS