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 8190 of 118 papers

TitleStatusHype
Hierarchical Multi-resolution Mesh Networks for Brain Decoding0
Hierarchical Neural Representation of Dreamed Objects Revealed by Brain Decoding with Deep Neural Network Features0
High-Dimensional Classification for Brain Decoding0
How Many Bytes Can You Take Out Of Brain-To-Text Decoding?0
Interpretability in Linear Brain Decoding0
Interpreting wide-band neural activity using convolutional neural networks0
Learning Deep Temporal Representations for Brain Decoding0
MEG Decoding Across Subjects0
MinD-3D: Reconstruct High-quality 3D objects in Human Brain0
MindAligner: Explicit Brain Functional Alignment for Cross-Subject Visual Decoding from Limited fMRI Data0
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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