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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 221230 of 466 papers

TitleStatusHype
Generating Music and Generative Art from Brain activity0
Generating Ten BCI Commands Using Four Simple Motor Imageries0
Deep learning approaches for neural decoding: from CNNs to LSTMs and spikes to fMRI0
Deep Feature Mining via Attention-based BiLSTM-GCN for Human Motor Imagery Recognition0
Automatic Muscle Artifacts Identification and Removal from Single-Channel EEG Using Wavelet Transform with Meta-heuristically Optimized Non-local Means Filter0
Gradual Relation Network: Decoding Intuitive Upper Extremity Movement Imaginations Based on Few-Shot EEG Learning0
DeepBrain: Towards Personalized EEG Interaction through Attentional and Embedded LSTM Learning0
Automatic Control of Reactive Brain Computer Interfaces0
A multi-agent control framework for co-adaptation in brain-computer interfaces0
Active Semi-supervised Transfer Learning (ASTL) for Offline BCI Calibration0
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