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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 326–350 of 466 papers

TitleStatusHype
Towards personalized human AI interaction - adapting the behavior of AI agents using neural signatures of subjective interest—0
Towards Probabilistic Inference of Human Motor Intentions by Assistive Mobile Robots Controlled via a Brain-Computer Interface—0
Towards the bio-personalization of music recommendation systems: A single-sensor EEG biomarker of subjective music preference—0
Towards Unified Neural Decoding of Perceived, Spoken and Imagined Speech from EEG Signals—0
Toward the application of XAI methods in EEG-based systems—0
Transfer Learning and SpecAugment applied to SSVEP Based BCI Classification—0
Transfer Learning for EEG-Based Brain-Computer Interfaces: A Review of Progress Made Since 2016—0
Transfer Learning with Active Sampling for Rapid Training and Calibration in BCI-P300 Across Health States and Multi-centre Data—0
Transferring BCI models from calibration to control: Observing shifts in EEG features—0
Translating Mental Imaginations into Characters with Codebooks and Dynamics-Enhanced Decoding—0
Translating neural signals to text using a Brain-Computer Interface—0
T-WaveNet: Tree-Structured Wavelet Neural Network for Sensor-Based Time Series Analysis—0
Two-step Input Spatial Auditory BCI for Japanese Kana Characters—0
UMM: Unsupervised Mean-difference Maximization—0
UniCoRN: Unified Cognitive Signal ReconstructioN bridging cognitive signals and human language—0
Unlocking Non-Invasive Brain-to-Text—0
Unsupervised Motor Imagery Saliency Detection Based on Self-Attention Mechanism—0
Unveiling Thoughts: A Review of Advancements in EEG Brain Signal Decoding into Text—0
Upper Limb Movement Execution Classification using Electroencephalography for Brain Computer Interface—0
Use of Neural Signals to Evaluate the Quality of Generative Adversarial Network Performance in Facial Image Generation—0
User-driven Intelligent Interface on the Basis of Multimodal Augmented Reality and Brain-Computer Interaction for People with Functional Disabilities—0
User-wise Perturbations for User Identity Protection in EEG-Based BCIs—0
Using i-vectors for subject-independent cross-session EEG transfer learning—0
Visual Motion Onset Brain-computer Interface—0
Visual tracking brain computer interface—0
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