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

Showing 8190 of 118 papers

TitleStatusHype
Interpreting wide-band neural activity using convolutional neural networks0
Voxel selection framework based on meta-heuristic search and mutual information for brain decoding0
Functional Magnetic Resonance Imaging data augmentation through conditional ICACode0
More Than Meets the Eye: Self-Supervised Depth Reconstruction From Brain ActivityCode1
Decoding and interpreting cortical signals with a compact convolutional neural network0
A General Framework for Revealing Human Mind with auto-encoding GANs0
Predicting Classification Accuracy When Adding New Unobserved Classes0
Brain2Word: Decoding Brain Activity for Language GenerationCode1
Deep brain state classification of MEG dataCode0
Linking artificial and human neural representations of languageCode0
Show:102550
← PrevPage 9 of 12Next →

Benchmark Results

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