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 5160 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
Modeling the Sequence of Brain Volumes by Local Mesh Models for Brain Decoding0
Multimodal wearable EEG, EMG and accelerometry measurements improve the accuracy of tonic-clonic seizure detection in-hospital0
Multi-view and Cross-view Brain Decoding0
Natural Image Reconstruction from fMRI using Deep Learning: A Survey0
Neuro-Vision to Language: Enhancing Brain Recording-based Visual Reconstruction and Language Interaction0
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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