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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

Showing 301310 of 466 papers

TitleStatusHype
Spectrally Adaptive Common Spatial Patterns0
SSVEP-Based BCI Wheelchair Control System0
SSVEP-BiMA: Bifocal Masking Attention Leveraging Native and Symmetric-Antisymmetric Components for Robust SSVEP Decoding0
Stimulation technology for brain and nerves, now and future0
Student Teaching and Research Laboratory Focusing on Brain-computer Interface Paradigms - A Creative Environment for Computer Science Students -0
Subject-independent trajectory prediction using pre-movement EEG during grasp and lift task0
Subject-Independent Brain-Computer Interface for Decoding High-Level Visual Imagery Tasks0
Subject-Independent Brain-Computer Interfaces with Open-Set Subject Recognition0
Subject-Independent Classification of Brain Signals using Skip Connections0
Subject-Independent Deep Architecture for EEG-based Motor Imagery Classification0
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