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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 1–25 of 118 papers

TitleStatusHype
A Pre-trained Framework for Multilingual Brain Decoding Using Non-invasive Recordings—0
Exploring The Visual Feature Space for Multimodal Neural DecodingCode0
ViEEG: Hierarchical Neural Coding with Cross-Modal Progressive Enhancement for EEG-Based Visual Decoding—0
Probability Distribution Alignment and Low-Rank Weight Decomposition for Source-Free Domain Adaptive Brain Decoding—0
Riemannian Geometry for the classification of brain states with intracortical brain-computer interfaces—0
Spatiotemporal Learning of Brain Dynamics from fMRI Using Frequency-Specific Multi-Band Attention for Cognitive and Psychiatric ApplicationsCode0
A Survey on fMRI-based Brain Decoding for Reconstructing Multimodal StimuliCode0
From Eye to Mind: brain2text Decoding Reveals the Neural Mechanisms of Visual Semantic Processing—0
SEED: Towards More Accurate Semantic Evaluation for Visual Brain Decoding—0
Diffusion Models for Computational Neuroimaging: A SurveyCode0
MindAligner: Explicit Brain Functional Alignment for Cross-Subject Visual Decoding from Limited fMRI Data—0
SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching ExperimentsCode0
BrainGuard: Privacy-Preserving Multisubject Image Reconstructions from Brain ActivitiesCode1
Artificial Neural Networks for Magnetoencephalography: A review of an emerging field—0
Teaching Wav2Vec2 the Language of the BrainCode0
On Creating A Brain-To-Text Decoder—0
Decoding fMRI Data into Captions using Prefix Language ModelingCode0
UniBrain: A Unified Model for Cross-Subject Brain DecodingCode1
Scaling Laws for Task-Optimized Models of the Primate Visual Ventral StreamCode0
Toward Generalizing Visual Brain Decoding to Unseen SubjectsCode1
NeuroBOLT: Resting-state EEG-to-fMRI Synthesis with Multi-dimensional Feature MappingCode1
Dual Stream Graph Transformer Fusion Networks for Enhanced Brain Decoding—0
BELT-2: Bootstrapping EEG-to-Language representation alignment for multi-task brain decoding—0
Domain Adaptation-Enhanced Searchlight: Enabling classification of brain states from visual perception to mental imageryCode0
Explainable Emotion Decoding for Human and Computer Vision—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