Datasets › BCI Competition IV: ECoG to Finger Movements
BCI Competition IV: ECoG to Finger Movements
Prediction of Finger Flexion IV Brain-Computer Interface Data Competition
The goal of this dataset is to predict the flexion of individual fingers from signals recorded from the surface of the brain (electrocorticography (ECoG)). This data set contains brain signals from three subjects, as well as the time courses of the flexion of each of five fingers. The task in this competition is to use the provided flexion information in order to predict finger flexion for a provided test set. The performance of the classifier will be evaluated by calculating the average correlation coefficient r between actual and predicted finger flexion.
ECoG data during individual flexions of the five fingers; movements acquired with a data glove. [48 - 64 ECoG channels (0.15-200Hz), 1000Hz sampling rate, 3 subjects]
Benchmarks archive 2025-07-28
All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Brain Decoding | BCI Competition IV: ECoG to Finger Movements | FingerFlex Pearson Correlation 0.67 | FingerFlex: Inferring Finger Trajectories from ECoG signals | Irautak/FingerFlex | 7 | Compare |
Papers archive 2025-07-28
7 shown of 7 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 7. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| FingerFlex: Inferring Finger Trajectories from ECoG signals | 1 | 1 | 23 Oct 2022 | not harvested |
| Fast and accurate decoding of finger movements from ECoG through Riemannian features and modern machine learning techniques | 0 | 1 | 25 Feb 2022 | not harvested |
| Interpreting wide-band neural activity using convolutional neural networks | 0 | 1 | 2 Aug 2021 | not harvested |
| Decoding and interpreting cortical signals with a compact convolutional neural network | 0 | 1 | 2 Mar 2021 | not harvested |
| Decoding of finger trajectory from ECoG using deep learning | 0 | 1 | 28 Feb 2018 | not harvested |
| Decoding finger flexion from band-specific ECoG signals in humans | 0 | 1 | 28 Jun 2012 | not harvested |
| Decoding finger movements from ECoG signals using switching linear models | 0 | 1 | 6 Mar 2012 | not harvested |
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
No licence recorded in the archive. Absence here is not a statement about the dataset's terms.
Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- BCI Competition IV: ECoG to Finger Movements
1 variant name, as the archive lists them.
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