EEG-ATCNet
importedsoftware/eeg-atcnet
Attention temporal convolutional network for EEG-based motor imagery classification
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- Apache-2.0(osi)
- Status
- maintained
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Repository
- github.com/Altaheri/EEG-ATCNet
- Documentation
- unknown
- Tags
- attention · classification · convolutional-neural-networks · eeg · motor-imagery · multi-head-self-attention · temporal-convolutional-network
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- eeg-rsenetclassification · eeg · motor-imagery
Motor Imagery EEG Signal Classification Using Random Subspace Ensemble Network
- aawedhaeeg · motor-imagery
Deep Learning toolbox for EEG based Brain-Computer Interface signals decoding and benchmarking
- channel_selectioneeg · motor-imagery
Some studies regarding the selection of optimal channels in a BCI based on motor imagery
- AttnSleepattention · eeg
[TNSRE 2021] "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG"
- EEG-Conformerattention · eeg
[TNSRE 23] EEG Transformer 2.0. i. Convolutional Transformer for EEG Decoding. ii. Novel visualization - Class Activation Topography.
- EEG-Transformerattention · eeg
i. A practical application of Transformer (ViT) on 2-D physiological signal (EEG) classification tasks. Also could be tried with EMG, EOG, ECG, etc. ii. Including the attention of spatial dimension…
- api.github.com/repos/Altaheri/EEG-ATCNetretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2025-11-29, 355 stars, license reported as Apache-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
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/v1/entries/14.json→ .entries["eeg-atcnet"]
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