SOTAVerified

Brain Decoding

Motor Brain Decoding is fundamental task for building motor brain computer interfaces (BCI).

Progress in predicting finger movements based on brain activity allows us to restore motor functions and improve rehabilitation process of patients.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 31–40 of 118 papers

TitleStatusHype
Diffusion Models for Computational Neuroimaging: A SurveyCode0
MindAligner: Explicit Brain Functional Alignment for Cross-Subject Visual Decoding from Limited fMRI Data—0
SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching ExperimentsCode0
Artificial Neural Networks for Magnetoencephalography: A review of an emerging field—0
Teaching Wav2Vec2 the Language of the BrainCode0
On Creating A Brain-To-Text Decoder—0
Decoding fMRI Data into Captions using Prefix Language ModelingCode0
Scaling Laws for Task-Optimized Models of the Primate Visual Ventral StreamCode0
Dual Stream Graph Transformer Fusion Networks for Enhanced Brain Decoding—0
BELT-2: Bootstrapping EEG-to-Language representation alignment for multi-task brain decoding—0
Show:102550
← PrevPage 4 of 12Next →
All datasetsBCI Competition IV: ECoG to Finger MovementsStanford ECoG library: ECoG to Finger Movements

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1FingerFlexPearson Correlation0.67—Unverified
2Gradient boosted trees on Riemannian featuresPearson Correlation0.53—Unverified
3Multi purpose CNNPearson Correlation0.52—Unverified
4CNN-LSTMPearson Correlation0.52—Unverified
5Linear regression based on band-specific ECoGPearson Correlation0.48—Unverified
6Interpretable Compact CNNPearson Correlation0.45—Unverified
7Switching linear modelsPearson Correlation0.43—Unverified
#ModelMetricClaimedVerifiedStatus
1FingerFlexPearson Correlation0.49—Unverified