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Brain Computer Interface

A Brain-Computer Interface (BCI), also known as a Brain-Machine Interface (BMI), is a technology that enables direct communication between the brain and an external device, such as a computer or a machine, without the need for any muscular or peripheral nerve activity. Essentially, BCIs establish a direct pathway between the brain and an external device, allowing for bidirectional communication.

BCIs typically work by detecting and interpreting brain signals, which are then translated into commands that control external devices or provide feedback to the user. These brain signals can be detected through various methods, including electroencephalography (EEG), which measures electrical activity in the brain through electrodes placed on the scalp, or invasive techniques such as implanted electrodes.

Papers

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Showing 26–50 of 466 papers

TitleStatusHype
S-JEPA: towards seamless cross-dataset transfer through dynamic spatial attentionCode1
Improving EEG Signal Classification Accuracy Using Wasserstein Generative Adversarial NetworksCode1
Brain-Conditional Multimodal Synthesis: A Survey and TaxonomyCode1
DTP-Net: Learning to Reconstruct EEG signals in Time-Frequency Domain by Multi-scale Feature ReuseCode1
EEG motor imagery decoding: A framework for comparative analysis with channel attention mechanismsCode1
HappyFeat -- An interactive and efficient BCI framework for clinical applicationsCode1
LMDA-Net:A lightweight multi-dimensional attention network for general EEG-based brain-computer interface paradigms and interpretabilityCode1
Natural scene reconstruction from fMRI signals using generative latent diffusionCode1
EEG Synthetic Data Generation Using Probabilistic Diffusion ModelsCode1
Deep comparisons of Neural Networks from the EEGNet familyCode1
Device JNEEG to convert Jetson Nano to brain-Computer interfaces. Short reportCode1
Closed loop BCI System for Cybathlon 2020Code1
FingerFlex: Inferring Finger Trajectories from ECoG signalsCode1
A Transformer-based deep neural network model for SSVEP classificationCode1
Cross Task Neural Architecture Search for EEG Signal ClassificationsCode1
Transfer Learning of an Ensemble of DNNs for SSVEP BCI Spellers without User-Specific TrainingCode1
Toward reliable signals decoding for electroencephalogram: A benchmark study to EEGNeXCode1
SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEGCode1
BEATS: An Open-Source, High-Precision, Multi-Channel EEG Acquisition Tool SystemCode1
Priming Cross-Session Motor Imagery Classification with A Universal Deep Domain Adaptation FrameworkCode1
A 1D CNN for high accuracy classification and transfer learning in motor imagery EEG-based brain-computer interfaceCode1
Functional connectivity ensemble method to enhance BCI performance (FUCONE)Code1
Low-cost brain computer interface for everyday useCode1
EEG-ConvTransformer for Single-Trial EEG based Visual Stimuli ClassificationCode1
Transformer-based Spatial-Temporal Feature Learning for EEG DecodingCode1
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