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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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 26–50 of 118 papers

TitleStatusHype
Decoding Linguistic Representations of Human Brain—0
Brain Dialogue Interface (BDI): A User-Friendly fMRI Model for Interactive Brain Decoding—0
MindSemantix: Deciphering Brain Visual Experiences with a Brain-Language Model—0
MindFormer: Semantic Alignment of Multi-Subject fMRI for Brain Decoding—0
MindShot: Brain Decoding Framework Using Only One Image—0
How Many Bytes Can You Take Out Of Brain-To-Text Decoding?—0
Spurious reconstruction from brain activityCode0
Neuro-Vision to Language: Enhancing Brain Recording-based Visual Reconstruction and Language Interaction—0
MindBridge: A Cross-Subject Brain Decoding FrameworkCode2
UMBRAE: Unified Multimodal Brain DecodingCode2
Brain-aligning of semantic vectors improves neural decoding of visual stimuli—0
Multimodal wearable EEG, EMG and accelerometry measurements improve the accuracy of tonic-clonic seizure detection in-hospital—0
S-JEPA: towards seamless cross-dataset transfer through dynamic spatial attentionCode1
Unsupervised Adaptive Deep Learning Method For BCI Motor Imagery Decoding—0
Data-Efficient Sleep Staging with Synthetic Time Series PretrainingCode0
See Through Their Minds: Learning Transferable Neural Representation from Cross-Subject fMRICode1
Reconstructing Visual Stimulus Images from EEG Signals Based on Deep Visual Representation Model—0
FAST functional connectivity implicates P300 connectivity in working memory deficits in Alzheimer's disease—0
Enhancing EEG-to-Text Decoding through Transferable Representations from Pre-trained Contrastive EEG-Text Masked Autoencoder—0
A Conversational Brain-Artificial Intelligence InterfaceCode1
Contrastive Learning of Shared Spatiotemporal EEG Representations Across Individuals for Naturalistic Neuroscience—0
Generating Visual Stimuli from EEG Recordings using Transformer-encoder based EEG encoder and GAN—0
Brain-Conditional Multimodal Synthesis: A Survey and TaxonomyCode1
Brain-optimized inference improves reconstructions of fMRI brain activityCode0
MinD-3D: Reconstruct High-quality 3D objects in Human Brain—0
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All datasetsBCI Competition IV: ECoG to Finger MovementsStanford ECoG library: ECoG to Finger Movements

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1FingerFlexPearson Correlation0.67—Unverified
2Gradient boosted trees on Riemannian featuresPearson Correlation0.53—Unverified
3Multi purpose CNNPearson Correlation0.52—Unverified
4CNN-LSTMPearson Correlation0.52—Unverified
5Linear regression based on band-specific ECoGPearson Correlation0.48—Unverified
6Interpretable Compact CNNPearson Correlation0.45—Unverified
7Switching linear modelsPearson Correlation0.43—Unverified
#ModelMetricClaimedVerifiedStatus
1FingerFlexPearson Correlation0.49—Unverified