Cue-gated idle / command

ds005342: EEG decoding results

OpenNeuro ds005342 contains 17-channel EEG (250 Hz) from 32 healthy participants who, following on-screen cues, imagined sit-to-stand or stand-to-sit movements or stayed in an idle state, first in offline calibration runs and then in online BCI runs. Released on OpenNeuro by Triana-Guzman et al. (2024); the study appeared in Frontiers in Neuroinformatics (2022).

Also known as ds005342 · EEG data offline and online during motor imagery for standing and sitting · Triana-Guzman et al. (2022)

Description sources openneuro.org · pmc.ncbi.nlm.nih.gov · doi.org

Where it appears

Published results

Each figure comes from the reviewed download linked in its group. One row is above another only where their 95% intervals do not overlap.

Core matrix · idle & command

Source page: Core-matrix protocol: Idle & command · experiments.json, core-matrix-20261106-idle.csv

MethodConditionMetricValuePeople
CSP+LDASeated motor imagery · cue-gated replayCommand detection ≤3 s23.3%4
CSP+LDASeated motor imagery · cue-gated replayIdle false activation0.0%4
LaBraMSeated motor imagery · cue-gated replayCommand detection ≤3 s18.3%4
LaBraMSeated motor imagery · cue-gated replayIdle false activation3.3%4
EEGNetSeated motor imagery · cue-gated replayCommand detection ≤3 s1.7%4
EEGNetSeated motor imagery · cue-gated replayIdle false activation0.0%4
ShallowFBCSPNetSeated motor imagery · cue-gated replayCommand detection ≤3 s43.3%4
ShallowFBCSPNetSeated motor imagery · cue-gated replayIdle false activation1.7%4
CBraModSeated motor imagery · cue-gated replayCommand detection ≤3 s18.3%4
CBraModSeated motor imagery · cue-gated replayIdle false activation1.7%4
Deep4NetSeated motor imagery · cue-gated replayCommand detection ≤3 s3.3%4
Deep4NetSeated motor imagery · cue-gated replayIdle false activation1.7%4
TS+LR · OASSeated motor imagery · cue-gated replayCommand detection ≤3 s35.0%Summed test trials. Fixed calibration rule; 60 training trials and 30 calibration trials per participant. Four-person case study; cohort aggregates only, no subgroup or population claim.4
TS+LR · OASSeated motor imagery · cue-gated replayIdle false activation6.7%Summed test trials. Fixed calibration rule; 60 training trials and 30 calibration trials per participant. Four-person case study; cohort aggregates only, no subgroup or population claim.4
MDM · OASSeated motor imagery · cue-gated replayCommand detection ≤3 s35.0%Summed test trials. Fixed calibration rule; 60 training trials and 30 calibration trials per participant. Four-person case study; cohort aggregates only, no subgroup or population claim.4
MDM · OASSeated motor imagery · cue-gated replayIdle false activation1.7%Summed test trials. Fixed calibration rule; 60 training trials and 30 calibration trials per participant. Four-person case study; cohort aggregates only, no subgroup or population claim.4

Further foundation encoders, frozen · idle & command

Source page: Core-matrix protocol: Idle & command · foundation-models-idle.csv

MethodConditionMetricValuePeople
REVE BaseFrozen encoder + linear headCommands detected ≤3 s12 / 600 of 4 people always abstained.4
REVE BaseFrozen encoder + linear headIdle false activations1 / 604
REVE LargeFrozen encoder + linear headCommands detected ≤3 s6 / 602 of 4 people always abstained.4
REVE LargeFrozen encoder + linear headIdle false activations1 / 604
LUNA BaseFrozen encoder + linear headCommands detected ≤3 s4 / 602 of 4 people always abstained.4
LUNA BaseFrozen encoder + linear headIdle false activations1 / 604
LUNA LargeFrozen encoder + linear headCommands detected ≤3 s5 / 602 of 4 people always abstained.4
LUNA LargeFrozen encoder + linear headIdle false activations1 / 604
BrainOmni BaseFrozen encoder + linear headCommands detected ≤3 s13 / 601 of 4 people always abstained.4
BrainOmni BaseFrozen encoder + linear headIdle false activations3 / 604
CodeBrainFrozen encoder + linear headCommands detected ≤3 s10 / 601 of 4 people always abstained.4
CodeBrainFrozen encoder + linear headIdle false activations1 / 604
EEGMambaFrozen encoder + linear headCommands detected ≤3 s2 / 603 of 4 people always abstained.4
EEGMambaFrozen encoder + linear headIdle false activations0 / 604
ST-EEGFormer BaseFrozen encoder + linear headCommands detected ≤3 s16 / 601 of 4 people always abstained.4
ST-EEGFormer BaseFrozen encoder + linear headIdle false activations1 / 604
ST-EEGFormer LargeFrozen encoder + linear headCommands detected ≤3 s20 / 601 of 4 people always abstained.4
ST-EEGFormer LargeFrozen encoder + linear headIdle false activations1 / 604
eeg-fm-masking MAE (r=9 cm, L=2)Frozen encoder + linear headCommands detected ≤3 s3 / 602 of 4 people always abstained.4
eeg-fm-masking MAE (r=9 cm, L=2)Frozen encoder + linear headIdle false activations0 / 604
ERP-FM BaseFrozen encoder + linear headCommands detected ≤3 s3 / 602 of 4 people always abstained.4
ERP-FM BaseFrozen encoder + linear headIdle false activations1 / 604
SingLEMFrozen encoder + linear headCommands detected ≤3 s6 / 602 of 4 people always abstained.4
SingLEMFrozen encoder + linear headIdle false activations5 / 604
ZUNA 1.1Frozen encoder + linear headCommands detected ≤3 s11 / 600 of 4 people always abstained. Pretraining exposure: unknown: the authors do not list their pretraining data closely enough to decide. Model card: research use only, not for diagnosis or clinical use.4
ZUNA 1.1Frozen encoder + linear headIdle false activations1 / 60Model card: research use only, not for diagnosis or clinical use.4
eeg-fm-masking JEPA (r=9 cm, L=2)Frozen encoder + linear head · masking ablationCommands detected ≤3 s12 / 602 of 4 people always abstained.4
eeg-fm-masking JEPA (r=9 cm, L=2)Frozen encoder + linear head · masking ablationIdle false activations0 / 604
eeg-fm-masking MAE (r=one channel, L=1)Frozen encoder + linear head · masking ablationCommands detected ≤3 s5 / 602 of 4 people always abstained.4
eeg-fm-masking MAE (r=one channel, L=1)Frozen encoder + linear head · masking ablationIdle false activations0 / 604
eeg-fm-masking JEPA (r=one channel, L=1)Frozen encoder + linear head · masking ablationCommands detected ≤3 s5 / 602 of 4 people always abstained.4
eeg-fm-masking JEPA (r=one channel, L=1)Frozen encoder + linear head · masking ablationIdle false activations0 / 604

Weights terms: REVE under the REVE Responsible Use License v1.0 (model versions: REVE Base @ dc2a075c · REVE Large @ 317531c7); LUNA under CC BY-ND 4.0, with no modified weights shared; BrainOmni, EEGMamba, ST-EEGFormer and SingLEM under MIT; CodeBrain and ZUNA under Apache-2.0; eeg-fm-masking under CC-BY-4.0; ERP-FM under CC BY-NC-SA 4.0, non-commercial. No model’s authors endorse these results. Every weights licence and its terms →

EEGPT, frozen encoder · idle & command

Source page: Core-matrix protocol: Idle & command · eegpt-core-update.json

MethodConditionMetricValuePeople
EEGPTFrozen encoder + linear headCommands detected ≤3 s7 / 601 of 4 people always abstained.4
EEGPTFrozen encoder + linear headIdle false activations2 / 604
EEGPTFrozen encoder + linear headWindow balanced accuracy57.2%4
EEGPTFrozen encoder + linear headWindow AUROC0.7804

Same run as the published LaBraM idle row; the published CBraMod idle row comes from another run, so a comparison with it is across runs. The window balanced accuracy and AUROC were computed from this run’s saved probabilities with the definitions of the further foundation-encoder rows; the run itself recorded the counts.

Every core window is shorter than EEGPT’s 4-second pretraining window: 1 or 2 seconds, and sleep as fifteen 2-second segments. The encoder computes each 0.25-second patch the same way at any length; a shorter window gives fewer patches to average.

The readout is the site’s fixed probe on the frozen summary tokens, as for the published LaBraM and CBraMod rows: ridge (alpha 100) on 2,048 pooled values, and on idle a per-person logistic head. It is not the authors’ downstream probe, a learnable spatial filter with a linear head, and the windows are fed without the average reference EEGPT was pretrained with.

EEGPT: the checkpoint’s licence is unresolved, and no original or converted weights are distributed; Apache-2.0 covers the repository’s code only. Its licence and terms →

Source and licence

ds005342

Credit OpenNeuro ds005342 contributors · version 1.0.3, doi:10.18112/openneuro.ds005342.v1.0.3; associated study doi:10.3389/fninf.2022.961089. Original author credits are retained at the linked source.

CC0-1.0 ↗ · Dataset record ↗

BCI Report does not redistribute any recording. These are aggregate measurements computed by BCI Report under the licence above; the data remain their creators’.

Row in the open register →

All datasets → · All methods →

Cite this page

BCI Report (2026). ds005342: EEG decoding results. https://bci.report/datasets/ds005342/

Figures from releases core-matrix-update-20261106 (2026-11-06), eegpt-core-update-20261013 (2026-10-13), foundation-models-update-20261004 (2026-10-04), research-preview-20260920 (2026-09-20). Cite the upstream dataset as well: its credit is on this page.

Every release is archived on Zenodo: doi:10.5281/zenodo.23123296. BibTeX for the site and its releases → · CITATION.cff ↗