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 1120 of 118 papers

TitleStatusHype
Lite-Mind: Towards Efficient and Robust Brain Representation NetworkCode1
Memory Encoding ModelCode1
Contrast, Attend and Diffuse to Decode High-Resolution Images from Brain ActivitiesCode1
Brain Captioning: Decoding human brain activity into images and textCode1
Natural scene reconstruction from fMRI signals using generative latent diffusionCode1
BrainCLIP: Bridging Brain and Visual-Linguistic Representation Via CLIP for Generic Natural Visual Stimulus DecodingCode1
Semantic Brain Decoding: from fMRI to conceptually similar image reconstruction of visual stimuliCode1
FingerFlex: Inferring Finger Trajectories from ECoG signalsCode1
Group-level Brain Decoding with Deep LearningCode1
More Than Meets the Eye: Self-Supervised Depth Reconstruction From Brain ActivityCode1
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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