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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 176–200 of 466 papers

TitleStatusHype
Multiagent Copilot Approach for Shared Autonomy between Human EEG and TD3 Deep Reinforcement Learning—0
3D-CLMI: A Motor Imagery EEG Classification Model via Fusion of 3D-CNN and LSTM with Attention—0
Brain Computer Interface Technology for Future Battlefield—0
Relevance Feedback with Brain SignalsCode0
A Literature Review on the Smart Wheelchair Systems—0
Visual tracking brain computer interface—0
Enhanced Generative Adversarial Networks for Unseen Word Generation from EEG Signals—0
Sample Dominance Aware Framework via Non-Parametric Estimation for Spontaneous Brain-Computer Interface—0
EEG-DG: A Multi-Source Domain Generalization Framework for Motor Imagery EEG ClassificationCode0
Improved Motor Imagery Classification Using Adaptive Spatial Filters Based on Particle Swarm Optimization Algorithm—0
Neuromorphic Online Clustering and Classification—0
Reputation-Based Federated Learning Defense to Mitigate Threats in EEG Signal Classification—0
A Convolutional Network Adaptation for Cortical Classification During Mobile Brain Imaging—0
Automatic Control of Reactive Brain Computer Interfaces—0
Is controlling a brain-computer interface just a matter of presence of mind? The limits of cognitive-motor dissociation—0
Unidirectional brain-computer interface: Artificial neural network encoding natural images to fMRI response in the visual cortexCode0
Phase Synchrony Component Self-Organization in Brain Computer Interface—0
A Dynamic Domain Adaptation Deep Learning Network for EEG-based Motor Imagery Classification—0
Brief Architectural Survey of Biopotential Recording Front-Ends since the 1970s—0
Bootstrapping Adaptive Human-Machine Interfaces with Offline Reinforcement Learning—0
Pseudo-online framework for BCI evaluation: A MOABB perspective—0
Advancing Brain-Computer Interface System Performance in Hand Trajectory Estimation with NeuroKinect—0
Aggregating Intrinsic Information to Enhance BCI Performance through Federated LearningCode0
A Brain-Computer Interface Augmented Reality Framework with Auto-Adaptive SSVEP Recognition—0
Deep Learning Architecture for Motor Imaged Words—0
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