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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
Brain-optimized inference improves reconstructions of fMRI brain activityCode0
Spatiotemporal Learning of Brain Dynamics from fMRI Using Frequency-Specific Multi-Band Attention for Cognitive and Psychiatric ApplicationsCode0
Spurious reconstruction from brain activityCode0
Second Sight: Using brain-optimized encoding models to align image distributions with human brain activityCode0
A Survey on fMRI-based Brain Decoding for Reconstructing Multimodal StimuliCode0
Scaling Laws for Task-Optimized Models of the Primate Visual Ventral StreamCode0
Does the brain represent words? An evaluation of brain decoding studies of language understandingCode0
Diffusion Models for Computational Neuroimaging: A SurveyCode0
Domain Adaptation-Enhanced Searchlight: Enabling classification of brain states from visual perception to mental imageryCode0
SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching ExperimentsCode0
Deep learning-based electroencephalography analysis: a systematic reviewCode0
Deep brain state classification of MEG dataCode0
Structural Similarities Between Language Models and Neural Response MeasurementsCode0
Decoding visual brain representations from electroencephalography through Knowledge Distillation and latent diffusion modelsCode0
Interpretability of Multivariate Brain Maps in Brain Decoding: Definition and QuantificationCode0
JGAT: a joint spatio-temporal graph attention model for brain decodingCode0
Linking artificial and human neural representations of languageCode0
Decoding fMRI Data into Captions using Prefix Language ModelingCode0
Functional Magnetic Resonance Imaging data augmentation through conditional ICACode0
Decoding dynamic brain patterns from evoked responses: A tutorial on multivariate pattern analysis applied to time-series neuroimaging data—0
Decoding and interpreting cortical signals with a compact convolutional neural network—0
Cross-view Brain Decoding—0
An encoding framework with brain inner state for natural image identification—0
Correntropy-Based Logistic Regression with Automatic Relevance Determination for Robust Sparse Brain Activity Decoding—0
Contrastive Learning of Shared Spatiotemporal EEG Representations Across Individuals for Naturalistic Neuroscience—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