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 7180 of 118 papers

TitleStatusHype
Social-sparsity brain decoders: faster spatial sparsity0
Through their eyes: multi-subject Brain Decoding with simple alignment techniques0
Towards end-to-end optimisation of functional image analysis pipelines0
UniBrain: Unify Image Reconstruction and Captioning All in One Diffusion Model from Human Brain Activity0
UniCoRN: Unified Cognitive Signal ReconstructioN bridging cognitive signals and human language0
Unsupervised Adaptive Deep Learning Method For BCI Motor Imagery Decoding0
ViEEG: Hierarchical Neural Coding with Cross-Modal Progressive Enhancement for EEG-Based Visual Decoding0
Explainable Emotion Decoding for Human and Computer Vision0
Generating Visual Stimuli from EEG Recordings using Transformer-encoder based EEG encoder and GAN0
Gradient Hyperalignment for multi-subject fMRI data alignment0
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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