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 111118 of 118 papers

TitleStatusHype
Exploring The Visual Feature Space for Multimodal Neural DecodingCode0
Decoding visual brain representations from electroencephalography through Knowledge Distillation and latent diffusion modelsCode0
Does the brain represent words? An evaluation of brain decoding studies of language understandingCode0
Brain-optimized inference improves reconstructions of fMRI brain activityCode0
Decoding fMRI Data into Captions using Prefix Language ModelingCode0
Diffusion Models for Computational Neuroimaging: A SurveyCode0
SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching ExperimentsCode0
Data-Efficient Sleep Staging with Synthetic Time Series PretrainingCode0
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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