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 2130 of 118 papers

TitleStatusHype
NeuroBOLT: Resting-state EEG-to-fMRI Synthesis with Multi-dimensional Feature MappingCode1
Dual Stream Graph Transformer Fusion Networks for Enhanced Brain Decoding0
BELT-2: Bootstrapping EEG-to-Language representation alignment for multi-task brain decoding0
Domain Adaptation-Enhanced Searchlight: Enabling classification of brain states from visual perception to mental imageryCode0
Explainable Emotion Decoding for Human and Computer Vision0
Decoding Linguistic Representations of Human Brain0
Brain Dialogue Interface (BDI): A User-Friendly fMRI Model for Interactive Brain Decoding0
MindSemantix: Deciphering Brain Visual Experiences with a Brain-Language Model0
MindFormer: Semantic Alignment of Multi-Subject fMRI for Brain Decoding0
MindShot: Brain Decoding Framework Using Only One Image0
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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