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 31–40 of 118 papers

TitleStatusHype
JGAT: a joint spatio-temporal graph attention model for brain decodingCode0
Structural Similarities Between Language Models and Neural Response MeasurementsCode0
Functional Magnetic Resonance Imaging data augmentation through conditional ICACode0
Decoding visual brain representations from electroencephalography through Knowledge Distillation and latent diffusion modelsCode0
Extracting representations of cognition across neuroimaging studies improves brain decodingCode0
Decoding fMRI Data into Captions using Prefix Language ModelingCode0
Deep brain state classification of MEG dataCode0
Deep learning-based electroencephalography analysis: a systematic reviewCode0
Does the brain represent words? An evaluation of brain decoding studies of language understandingCode0
Diffusion Models for Computational Neuroimaging: A SurveyCode0
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Benchmark Results

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