# Generative Adversarial Networks-Based Data Augmentation for Brain–Computer Interface

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/generative-adversarial-networks-based-data-augmentation-for-brain-computer/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Fatemeh Fahimi,Strahinja Došen,Kai Keng Ang,Natalie Mrachacz‐Kersting,Cuntai Guan |
| Citations | 224 |
| DOI | 10.1109/tnnls.2020.3016666 |
| Fields | Engineering,Neuroscience |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://ieeexplore.ieee.org/ielx7/5962385/9525619/09177281.pdf |
| OpenAlex ID | https://openalex.org/W3080551539 |
| PMID | 32841127 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Strahinja Došen](https://scholariq.org/researchers/strahinja-dosen/)

## Paper journal

- [IEEE Transactions on Neural Networks and Learning Systems](https://scholariq.org/journals/ieee-transactions-on-neural-networks-and-learning-systems/)

## Paper primary topic

- [EEG and Brain-Computer Interfaces](https://scholariq.org/topics/eeg-and-brain-computer-interfaces/)

## Paper topics

- [EEG and Brain-Computer Interfaces](https://scholariq.org/topics/eeg-and-brain-computer-interfaces/)
- [Advanced Memory and Neural Computing](https://scholariq.org/topics/advanced-memory-and-neural-computing/)
- [Neural dynamics and brain function](https://scholariq.org/topics/neural-dynamics-and-brain-function/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.