Compact model
ShallowFBCSPNet: results on public EEG datasets
ShallowFBCSPNet is Braindecode's name for the shallow ConvNet of Schirrmeister et al. (Human Brain Mapping, 2017). Modeled on filter bank common spatial patterns (FBCSP), it applies a temporal convolution, a spatial convolution across electrodes, squaring, mean pooling and a logarithm, which together approximate log band-power features.
Measured on: ds003810; EEGMAT; BETA; ds006593; TMNRED / ds005383; EESM19 scalp subset; ds005342 · Protocols: Motor imagery & rest; Arithmetic & rest; SSVEP · 8 channels; SSVEP · 4 channels; P300 target ERP; Semantic target ERP; Sleep staging; Idle & command
Also known as ShallowFBCSPNet · Shallow ConvNet · ShallowConvNet · Schirrmeister et al. 2017
Directory status: Evaluated · Official code ↗ · Description sources arxiv.org · pmc.ncbi.nlm.nih.gov · doi.org · github.com · github.com · github.com
Published results
Compare figures within a group only: task, cohort, chance level and electrode layout can differ between groups. One row is above another only where their 95% intervals do not overlap.
ds003810 · Core matrix · motor imagery & rest
| Method | Condition | Metric | Value | People |
|---|---|---|---|---|
| ShallowFBCSPNet | Rest versus right-hand imagery | Balanced accuracy | 68.8%63.4%–73.9%One fixed seed and training budget, as the EEGNet cell | 10 |
EEGMAT · Core matrix · arithmetic & rest
| Method | Condition | Metric | Value | People |
|---|---|---|---|---|
| ShallowFBCSPNet | Serial subtraction versus resting EEG | Balanced accuracy | 67.9%63.4%–72.4%One fixed seed and training budget, as the EEGNet cell | 36 |
BETA · Core matrix · SSVEP, 8 channels
| Method | Condition | Metric | Value | People |
|---|---|---|---|---|
| ShallowFBCSPNet | 40 visual targets · 8 posterior electrodes | Balanced accuracy | 23.0%20.3%–25.9%One fixed seed and training budget, as the EEGNet cell | 70 |
BETA · Core matrix · SSVEP, 4 channels
| Method | Condition | Metric | Value | People |
|---|---|---|---|---|
| ShallowFBCSPNet | 40 visual targets · 4 posterior electrodes | Balanced accuracy | 16.2%14.1%–18.6%One fixed seed and training budget, as the EEGNet cell | 70 |
ds006593 · Core matrix · P300 target ERP
| Method | Condition | Metric | Value | People |
|---|---|---|---|---|
| ShallowFBCSPNet | Visual target versus nontarget events | Balanced accuracy | 49.7%49.0%–50.4%One fixed seed and training budget, as the EEGNet cell | 21 |
TMNRED / ds005383 · Core matrix · semantic target ERP
| Method | Condition | Metric | Value | People |
|---|---|---|---|---|
| ShallowFBCSPNet | Reading · target versus nontarget events | Balanced accuracy | 56.7%54.7%–58.8%One fixed seed and training budget, as the EEGNet cell | 30 |
EESM19 scalp subset · Core matrix · sleep staging
| Method | Condition | Metric | Value | People |
|---|---|---|---|---|
| ShallowFBCSPNet | Five stages · balanced scalp-EEG sample | Balanced accuracy | 55.0%53.1%–56.8%One fixed seed and training budget, as the EEGNet cell | 20 |
ds005342 · Core matrix · idle & command
| Method | Condition | Metric | Value | People |
|---|---|---|---|---|
| ShallowFBCSPNet | Seated motor imagery · cue-gated replay | Command detection ≤3 s | 43.3% | 4 |
| ShallowFBCSPNet | Seated motor imagery · cue-gated replay | Idle false activation | 1.7% | 4 |
Cite this page
BCI Report (2026). ShallowFBCSPNet: results on public EEG datasets. https://bci.report/methods/shallowfbcspnet/
Figures from releases core-matrix-update-20261106 (2026-11-06), research-preview-20260920 (2026-09-20). Cite the upstream datasets as well: each dataset’s page gives its credit.
Every release is archived on Zenodo: doi:10.5281/zenodo.23123296. BibTeX for the site and its releases → · CITATION.cff ↗