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

Reference Schirrmeister RT, Springenberg JT, Fiederer LDJ, Glasstetter M, Eggensperger K, Tangermann M, Hutter F, Burgard W, Ball T. Deep learning with convolutional neural networks for EEG decoding and visualization. Human Brain Mapping 38(11):5391–5420, 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

Source page: Core-matrix protocol: Motor imagery & rest · Chance level 50.0% · core-matrix-20261106-mi-rest.csv

MethodConditionMetricValuePeople
ShallowFBCSPNetRest versus right-hand imageryBalanced accuracy68.8%63.4%–73.9%One fixed seed and training budget, as the EEGNet cell10

EEGMAT · Core matrix · arithmetic & rest

Source page: Core-matrix protocol: Arithmetic & rest · Chance level 50.0% · core-matrix-20261106-arithmetic-rest.csv

MethodConditionMetricValuePeople
ShallowFBCSPNetSerial subtraction versus resting EEGBalanced accuracy67.9%63.4%–72.4%One fixed seed and training budget, as the EEGNet cell36

BETA · Core matrix · SSVEP, 8 channels

Source page: Core-matrix protocol: SSVEP · 8 channels · Chance level 2.5% · core-matrix-20261106-beta-8ch.csv

MethodConditionMetricValuePeople
ShallowFBCSPNet40 visual targets · 8 posterior electrodesBalanced accuracy23.0%20.3%–25.9%One fixed seed and training budget, as the EEGNet cell70

BETA · Core matrix · SSVEP, 4 channels

Source page: Core-matrix protocol: SSVEP · 4 channels · Chance level 2.5% · core-matrix-20261106-beta-4ch.csv

MethodConditionMetricValuePeople
ShallowFBCSPNet40 visual targets · 4 posterior electrodesBalanced accuracy16.2%14.1%–18.6%One fixed seed and training budget, as the EEGNet cell70

ds006593 · Core matrix · P300 target ERP

Source page: Core-matrix protocol: P300 target ERP · Chance level 50.0% · core-matrix-20261106-p300-target.csv

MethodConditionMetricValuePeople
ShallowFBCSPNetVisual target versus nontarget eventsBalanced accuracy49.7%49.0%–50.4%One fixed seed and training budget, as the EEGNet cell21

TMNRED / ds005383 · Core matrix · semantic target ERP

Source page: Core-matrix protocol: Semantic target ERP · Chance level 50.0% · core-matrix-20261106-semantic-target.csv

MethodConditionMetricValuePeople
ShallowFBCSPNetReading · target versus nontarget eventsBalanced accuracy56.7%54.7%–58.8%One fixed seed and training budget, as the EEGNet cell30

EESM19 scalp subset · Core matrix · sleep staging

Source page: Core-matrix protocol: Sleep staging · Chance level 20.0% · core-matrix-20261106-sleep-scalp.csv

MethodConditionMetricValuePeople
ShallowFBCSPNetFive stages · balanced scalp-EEG sampleBalanced accuracy55.0%53.1%–56.8%One fixed seed and training budget, as the EEGNet cell20

ds005342 · Core matrix · idle & command

Source page: Core-matrix protocol: Idle & command · experiments.json

MethodConditionMetricValuePeople
ShallowFBCSPNetSeated motor imagery · cue-gated replayCommand detection ≤3 s43.3%4
ShallowFBCSPNetSeated motor imagery · cue-gated replayIdle false activation1.7%4

All methods → · All datasets →

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 ↗