A dual-branch deep learning framework for emotion recognition from EEG signals.
Overview
- Computer Science & Engineering, Jadavpur University,Kolkata, 700032 India
- Electronics & Telecommunication Engineering, Jadavpur University,Kolkata, 700032 India
- Research Center of the Artificial Intelligence Institute, Innopolis University,Innopolis, 420500 Russian Federation
- Intelligent Devices Institute, Saint Petersburg Electrotechnical University “LETI”,Saint Petersburg, 197022 Russian Federation
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
The paper links to its data, not to its authors' code: see the Data section.
The paper's code and data availability statement is in the Data section.
Tracing map
A tracing map links a paper to the code its authors published: this paper has none, so it has no map.
Data
Datasets cited
- github.com/
debamsahacs/ , at github.com; found in “Data and Code Availability”dual-branch-dl-framework - kaggle.com/
datasets/ , at Kaggle; found in “Data and Code Availability”birdy654 - kaggle.com/
datasets/ , at Kaggle; found in “Data and Code Availability”orvile - kaggle.com/
datasets/ , at Kaggle; found in “Data and Code Availability”qiriro
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:
- it points to 4 datasets: github.com/
debamsahacs/ , kaggle.com/dual-branch-dl-framework datasets/ , kaggle.com/birdy654 datasets/ , kaggle.com/orvile datasets/ qiriro
Read it in the paper: doi.org/10.1038/s41598-026-42998-8.
Versions
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Version 1, 30 September 2026: the first record
Recorded: type, language, journal, volume, issue, pages, dates, 5 authors, 12 keywords, 9 MeSH terms, 1 funder, 26 references.
Cite
This paper
Saha, D., Ali, A., Gulvanskii, V., Kaplun, D., & Sarkar, R. (2026). A dual-branch deep learning framework for emotion recognition from EEG signals. Scientific reports, 16(1), 13076. https://
BibTeX
@article{saha2026dual,
author = {Saha, Debam and Ali, Asfak and Gulvanskii, Vycheslav and Kaplun, Dmitrii and Sarkar, Ram},
title = {{A dual-branch deep learning framework for emotion recognition from EEG signals}},
journal = {Scientific reports},
year = {2026},
month = mar,
volume = {16},
number = {1},
pages = {13076},
publisher = {Nature Publishing Group},
issn = {2045-2322},
doi = {10.1038/
url = {https://
pmid = {41813771},
pmcid = {PMC13100193}
}
RIS
TY - JOUR
AU - Saha, Debam
AU - Ali, Asfak
AU - Gulvanskii, Vycheslav
AU - Kaplun, Dmitrii
AU - Sarkar, Ram
TI - A dual-branch deep learning framework for emotion recognition from EEG signals
T2 - Scientific reports
J2 - Sci Rep
PY - 2026
DA - 2026/
VL - 16
IS - 1
SP - 13076
SN - 2045-2322
PB - Nature Publishing Group
DO - 10.1038/
UR - https://
LA - en
ER -
CSL-JSON
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