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
Cross-view Brain Decoding0
Decoding and interpreting cortical signals with a compact convolutional neural network0
Decoding dynamic brain patterns from evoked responses: A tutorial on multivariate pattern analysis applied to time-series neuroimaging data0
Decoding finger flexion from band-specific ECoG signals in humans0
Decoding finger movements from ECoG signals using switching linear models0
Decoding Linguistic Representations of Human Brain0
Decoding of finger trajectory from ECoG using deep learning0
Deep learning of fMRI big data: a novel approach to subject-transfer decoding0
Discriminative Functional Connectivity Measures for Brain Decoding0
Domain Independent SVM for Transfer Learning in Brain Decoding0
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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