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 91100 of 118 papers

TitleStatusHype
MindFormer: Semantic Alignment of Multi-Subject fMRI for Brain Decoding0
MindSemantix: Deciphering Brain Visual Experiences with a Brain-Language Model0
MindShot: Brain Decoding Framework Using Only One Image0
Mixed-norm Regularization for Brain Decoding0
Modeling 4D fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNN)0
Functional Magnetic Resonance Imaging data augmentation through conditional ICACode0
Extracting representations of cognition across neuroimaging studies improves brain decodingCode0
Domain Adaptation-Enhanced Searchlight: Enabling classification of brain states from visual perception to mental imageryCode0
Spatiotemporal Learning of Brain Dynamics from fMRI Using Frequency-Specific Multi-Band Attention for Cognitive and Psychiatric ApplicationsCode0
Spurious reconstruction from brain activityCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1FingerFlexPearson Correlation0.67Unverified
2Gradient boosted trees on Riemannian featuresPearson Correlation0.53Unverified
3CNN-LSTMPearson Correlation0.52Unverified
4Multi purpose CNNPearson 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