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 Added Most Hyped Most Active Needs Verification Most Verified

Showing 81–90 of 118 papers

Title	Date	Tasks	Status
A Pre-trained Framework for Multilingual Brain Decoding Using Non-invasive Recordings	Jun 3, 2025	Brain DecodingFairness	—Unverified
Artificial Neural Networks for Magnetoencephalography: A review of an emerging field	Jan 20, 2025	Brain Decoding	—Unverified
BELT-2: Bootstrapping EEG-to-Language representation alignment for multi-task brain decoding	Aug 28, 2024	Brain DecodingEEG	—Unverified
BELT:Bootstrapping Electroencephalography-to-Language Decoding and Zero-Shot Sentiment Classification by Natural Language Supervision	Sep 21, 2023	Brain DecodingContrastive Learning	—Unverified
Brain decoding from functional MRI using long short-term memory recurrent neural networks	Sep 14, 2018	Brain DecodingFunctional Connectivity	—Unverified
Brain decoding: toward real-time reconstruction of visual perception	Oct 18, 2023	Brain DecodingDecoder	—Unverified
Brain Dialogue Interface (BDI): A User-Friendly fMRI Model for Interactive Brain Decoding	Jun 17, 2024	Brain Decoding	—Unverified
Brain-aligning of semantic vectors improves neural decoding of visual stimuli	Mar 22, 2024	Brain DecodingRepresentation Learning	—Unverified
Contrastive Learning of Shared Spatiotemporal EEG Representations Across Individuals for Naturalistic Neuroscience	Feb 22, 2024	Brain DecodingContrastive Learning	—Unverified
Correntropy-Based Logistic Regression with Automatic Relevance Determination for Robust Sparse Brain Activity Decoding	Jul 20, 2022	Brain DecodingClassification	—Unverified

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All datasets BCI Competition IV: ECoG to Finger Movements Stanford ECoG library: ECoG to Finger Movements

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	FingerFlex	Pearson Correlation	0.67	—	Unverified
2	Gradient boosted trees on Riemannian features	Pearson Correlation	0.53	—	Unverified
3	Multi purpose CNN	Pearson Correlation	0.52	—	Unverified
4	CNN-LSTM	Pearson Correlation	0.52	—	Unverified
5	Linear regression based on band-specific ECoG	Pearson Correlation	0.48	—	Unverified
6	Interpretable Compact CNN	Pearson Correlation	0.45	—	Unverified
7	Switching linear models	Pearson Correlation	0.43	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FingerFlex	Pearson Correlation	0.49	—	Unverified