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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 161170 of 466 papers

TitleStatusHype
Bootstrapping Adaptive Human-Machine Interfaces with Offline Reinforcement Learning0
Pseudo-online framework for BCI evaluation: A MOABB perspective0
Advancing Brain-Computer Interface System Performance in Hand Trajectory Estimation with NeuroKinect0
Aggregating Intrinsic Information to Enhance BCI Performance through Federated LearningCode0
A Brain-Computer Interface Augmented Reality Framework with Auto-Adaptive SSVEP Recognition0
Deep Learning Architecture for Motor Imaged Words0
SSVEP-Based BCI Wheelchair Control System0
UniCoRN: Unified Cognitive Signal ReconstructioN bridging cognitive signals and human language0
BioGAP: a 10-Core FP-capable Ultra-Low Power IoT Processor, with Medical-Grade AFE and BLE Connectivity for Wearable Biosignal Processing0
EEG Decoding for Datasets with Heterogenous Electrode Configurations using Transfer Learning Graph Neural Networks0
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