TFANet: a temporal fusion attention neural network for motor imagery decoding

These results demonstrate that TFANet is an effective approach for decoding MI tasks with complex temporal dependencies.

Authors

Xiaopei Wu (ORCID: https://orcid.org/0000-0002-2485-4719)
Ya Liu (ORCID: https://orcid.org/0000-0001-5106-8708)
Chao Zhang (ORCID: https://orcid.org/0009-0001-5112-1158)

Institutions

Anhui University (CN)

Publication Details

Journal: Frontiers in Neuroscience
Published: 2025-09-22
DOI: https://doi.org/10.3389/fnins.2025.1635588
Citations: 2
Primary Topic: EEG and Brain-Computer Interfaces
Type: article
Field-Weighted Citation Impact: 2.86

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article

TFANet: a temporal fusion attention neural network for motor imagery decoding

Xiaopei Wu, Ya Liu, Chao Zhang

Sep 22, 2025

2 citations

Frontiers in Neuroscience

EEG and Brain-Computer Interfaces

2.86

article

TFANet: a temporal fusion attention neural network for motor imagery decoding

Xiaopei Wu, Ya Liu, Chao Zhang

September 22, 2025article en

2 citations

Abstract

These results demonstrate that TFANet is an effective approach for decoding MI tasks with complex temporal dependencies.

Frontiers in NeuroscienceVol. 19

Anhui University (CN)

Openalex Percentile: Top 8%

EEG and Brain-Computer Interfaces

2.86

DOI Open Access PDF OpenAlex

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TFANet: a temporal fusion attention neural network for motor imagery decoding — Xiaopei Wu, Ya Liu, et al. · Frontiers in Neuroscience (2025) | TGRS Research Map | TGRS