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 3140 of 118 papers

TitleStatusHype
How Many Bytes Can You Take Out Of Brain-To-Text Decoding?0
Spurious reconstruction from brain activityCode0
Neuro-Vision to Language: Enhancing Brain Recording-based Visual Reconstruction and Language Interaction0
MindBridge: A Cross-Subject Brain Decoding FrameworkCode2
UMBRAE: Unified Multimodal Brain DecodingCode2
Brain-aligning of semantic vectors improves neural decoding of visual stimuli0
Multimodal wearable EEG, EMG and accelerometry measurements improve the accuracy of tonic-clonic seizure detection in-hospital0
S-JEPA: towards seamless cross-dataset transfer through dynamic spatial attentionCode1
Unsupervised Adaptive Deep Learning Method For BCI Motor Imagery Decoding0
Data-Efficient Sleep Staging with Synthetic Time Series PretrainingCode0
Show:102550
← PrevPage 4 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