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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 76–100 of 118 papers

TitleStatusHype
A case study on profiling of an EEG-based brain decoding interface on Cloud and Edge servers—0
A General Framework for Revealing Human Mind with auto-encoding GANs—0
Aligning brain functions boosts the decoding of visual semantics in novel subjects—0
An encoding framework with brain inner state for natural image identification—0
A Novel Brain Decoding Method: a Correlation Network Framework for Revealing Brain Connections—0
A Pre-trained Framework for Multilingual Brain Decoding Using Non-invasive Recordings—0
Artificial Neural Networks for Magnetoencephalography: A review of an emerging field—0
BELT-2: Bootstrapping EEG-to-Language representation alignment for multi-task brain decoding—0
BELT:Bootstrapping Electroencephalography-to-Language Decoding and Zero-Shot Sentiment Classification by Natural Language Supervision—0
Brain decoding from functional MRI using long short-term memory recurrent neural networks—0
Brain decoding: toward real-time reconstruction of visual perception—0
Brain Dialogue Interface (BDI): A User-Friendly fMRI Model for Interactive Brain Decoding—0
Brain-aligning of semantic vectors improves neural decoding of visual stimuli—0
Contrastive Learning of Shared Spatiotemporal EEG Representations Across Individuals for Naturalistic Neuroscience—0
Correntropy-Based Logistic Regression with Automatic Relevance Determination for Robust Sparse Brain Activity Decoding—0
Cross-view Brain Decoding—0
Decoding and interpreting cortical signals with a compact convolutional neural network—0
Decoding dynamic brain patterns from evoked responses: A tutorial on multivariate pattern analysis applied to time-series neuroimaging data—0
Decoding finger flexion from band-specific ECoG signals in humans—0
Decoding finger movements from ECoG signals using switching linear models—0
Decoding Linguistic Representations of Human Brain—0
Decoding of finger trajectory from ECoG using deep learning—0
Deep learning of fMRI big data: a novel approach to subject-transfer decoding—0
Discriminative Functional Connectivity Measures for Brain Decoding—0
Domain Independent SVM for Transfer Learning in Brain Decoding—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