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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 1–50 of 466 papers

TitleStatusHype
NeuSpeech: Decode Neural signal as SpeechCode3
CTNet: A Convolutional Transformer Network for EEG-Based Motor Imagery ClassificationCode3
Neuro-GPT: Towards A Foundation Model for EEGCode2
PHemoNet: A Multimodal Network for Physiological SignalsCode2
Seeing Beyond the Brain: Conditional Diffusion Model with Sparse Masked Modeling for Vision DecodingCode2
Multi-scale convolutional transformer network for motor imagery brain-computer interfaceCode2
https://arxiv.org/pdf/2409.07491Code2
Physics-inform attention temporal convolutional network for EEG-based motor imagery classificationCode2
Raspberry PI Shield - for measure EEG (PIEEG)Code2
PiEEG-16 to Measure 16 EEG Channels with Raspberry Pi for Brain-Computer Interfaces and EEG devicesCode2
GCNs-Net: A Graph Convolutional Neural Network Approach for Decoding Time-resolved EEG Motor Imagery SignalsCode2
PiEEG-16 to Measure 16 EEG Channels with Raspberry Pi for Brain-Computer Interfaces and EEG devicesCode2
Guess What I Think: Streamlined EEG-to-Image Generation with Latent Diffusion ModelsCode2
Brain-Computer-Interface controlled robot via RaspberryPi and PiEEGCode2
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
S-JEPA: towards seamless cross-dataset transfer through dynamic spatial attentionCode1
EEG motor imagery decoding: A framework for comparative analysis with channel attention mechanismsCode1
DTP-Net: Learning to Reconstruct EEG signals in Time-Frequency Domain by Multi-scale Feature ReuseCode1
EEG-Inception: An Accurate and Robust End-to-End Neural Network for EEG-based Motor Imagery ClassificationCode1
Spatial Distillation based Distribution Alignment (SDDA) for Cross-Headset EEG ClassificationCode1
Low-cost brain computer interface for everyday useCode1
EEG-ConvTransformer for Single-Trial EEG based Visual Stimuli ClassificationCode1
FBCNet: A Multi-view Convolutional Neural Network for Brain-Computer InterfaceCode1
LMDA-Net:A lightweight multi-dimensional attention network for general EEG-based brain-computer interface paradigms and interpretabilityCode1
AGTCNet: A Graph-Temporal Approach for Principled Motor Imagery EEG ClassificationCode1
MAD: Multi-Alignment MEG-to-Text DecodingCode1
Improving EEG Signal Classification Accuracy Using Wasserstein Generative Adversarial NetworksCode1
A Deep Neural Network for SSVEP-based Brain-Computer InterfacesCode1
Cross Task Neural Architecture Search for EEG Signal ClassificationsCode1
LGGNet: Learning from Local-Global-Graph Representations for Brain-Computer InterfaceCode1
Natural scene reconstruction from fMRI signals using generative latent diffusionCode1
BENDR: using transformers and a contrastive self-supervised learning task to learn from massive amounts of EEG dataCode1
Brain-Conditional Multimodal Synthesis: A Survey and TaxonomyCode1
Dareplane: A modular open-source software platform for BCI research with application in closed-loop deep brain stimulationCode1
A Transformer-based deep neural network model for SSVEP classificationCode1
BEATS: An Open-Source, High-Precision, Multi-Channel EEG Acquisition Tool SystemCode1
Functional connectivity ensemble method to enhance BCI performance (FUCONE)Code1
Closed loop BCI System for Cybathlon 2020Code1
CNN-based Approaches For Cross-Subject Classification in Motor Imagery: From The State-of-The-Art to DynamicNetCode1
Different Set Domain Adaptation for Brain-Computer Interfaces: A Label Alignment ApproachCode1
A magnetoencephalography dataset for motor and cognitive imagery-based brain-computer interfaceCode1
Device JNEEG to convert Jetson Nano to brain-Computer interfaces. Short reportCode1
Deep comparisons of Neural Networks from the EEGNet familyCode1
Decoding Human Attentive States from Spatial-temporal EEG Patches Using TransformersCode1
FingerFlex: Inferring Finger Trajectories from ECoG signalsCode1
HappyFeat -- An interactive and efficient BCI framework for clinical applicationsCode1
MVCNet: Multi-View Contrastive Network for Motor Imagery ClassificationCode1
EEG Synthetic Data Generation Using Probabilistic Diffusion ModelsCode1
SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEGCode1
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