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Cerebro Wave Bee transformer to leverage EEG based hand movement classification using optimized bio-inspired learning rates.

Overview

Authors: N Priyadharshini Jayadurga1, M Chandralekha1, Hema Subramaniam2
ORCID iDs: Hema Subramaniam
  1. Department of Computer Science and Engineering, Amrita School of Computing, Amrita Vishwa Vidyapeetham, Chennai, India
  2. Department of Software Engineering, Faculty of Computer Science and Information Technology, Universiti Malaya, Kuala Lumpur, Malaysia
Institutions: Amrita Vishwa Vidyapeetham (India); University of Malaya (Malaysia)
Journal: Scientific reports, volume 16, issue 1, article 14640
Dates: received 11 May 2025; accepted 16 February 2026; published online 7 May 2026
Type: Research article · Language: English
License: CC BY-NC-ND
Identifiers: DOI 10.1038/s41598-026-40739-5 · PMID 42098189 · PMCID PMC13153216 · OpenAlex W7160526543
Open access: gold, a free copy (OpenAlex)
Status: data only
Categories: EEG (modality), human (organism), other (organism), cognitive (subfield)
Methods: Spectral & time-frequency, Connectivity, Machine learning, Statistics, Preprocessing
Keywords: Electroencephalogram, Honey Bee Optimization, Transformer model, Bio-inspired optimization models, Neurotechnology, Health care, Mathematics and computing
MeSH: Electroencephalography*, Hand*, Animals, Bees, Humans, Machine Learning, Movement, Signal Processing, Computer-Assisted (* major topic)
Topic: EEG and Brain-Computer Interfaces (Cognitive Neuroscience, Neuroscience), according to OpenAlex
Citations: not cited yet (Europe PMC); 31 references in the paper

Abstract

The abstract is not reproduced here: the paper's license (CC BY-NC-ND) does not allow it. Read it in the paper, at the publisher or on Europe PMC.

Code

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The paper's code and data availability statement is in the Data section.

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Data

Datasets cited

Code and data availability statement

The paper has a code and data availability statement. Its license (CC BY-NC-ND) does not allow reproducing it here; in short, from what the harvester recognized in it:

Read it in the paper: doi.org/10.1038/s41598-026-40739-5.

Versions

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Version 1, 28 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 3 authors, 7 keywords, 8 MeSH terms, 25 references.

Cite

This paper

Jayadurga, N. P., Chandralekha, M., & Subramaniam, H. (2026). Cerebro Wave Bee transformer to leverage EEG based hand movement classification using optimized bio-inspired learning rates. Scientific reports, 16(1), 14640. https://doi.org/10.1038/s41598-026-40739-5

BibTeX

@article{jayadurga2026cerebro,
author = {Jayadurga, N Priyadharshini and Chandralekha, M and Subramaniam, Hema},
title = {{Cerebro Wave Bee transformer to leverage EEG based hand movement classification using optimized bio-inspired learning rates}},
journal = {Scientific reports},
year = {2026},
month = may,
volume = {16},
number = {1},
pages = {14640},
publisher = {Nature Publishing Group},
issn = {2045-2322},
doi = {10.1038/s41598-026-40739-5},
url = {https://doi.org/10.1038/s41598-026-40739-5},
pmid = {42098189},
pmcid = {PMC13153216}
}

RIS

TY - JOUR
AU - Jayadurga, N Priyadharshini
AU - Chandralekha, M
AU - Subramaniam, Hema
TI - Cerebro Wave Bee transformer to leverage EEG based hand movement classification using optimized bio-inspired learning rates
T2 - Scientific reports
J2 - Sci Rep
PY - 2026
DA - 2026/05/07
VL - 16
IS - 1
SP - 14640
SN - 2045-2322
PB - Nature Publishing Group
DO - 10.1038/s41598-026-40739-5
UR - https://doi.org/10.1038/s41598-026-40739-5
LA - en
ER -

CSL-JSON

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