Neural signal processing refers to the methods and techniques used to analyze and interpret electrical signals generated by neurons in the nervous system. This process is crucial in neuroprosthetic systems, where the goal is to translate these neural signals into actionable information, allowing devices to restore or enhance sensory or motor functions. By utilizing advanced algorithms and computational models, neural signal processing plays a vital role in improving the efficacy of neuroprosthetics through real-time feedback and adaptation.
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