Brain-Computer Interfaces
Artifact rejection is a process used in neural recording methods to eliminate or reduce interference caused by non-neural signals that can obscure true brain activity. This process is crucial for improving the accuracy and reliability of neural data by identifying and filtering out unwanted signals such as muscle movements, eye blinks, or electrical noise. By enhancing the quality of recorded neural signals, artifact rejection ensures that the analysis and interpretation of brain data are more precise.
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