Brain-Computer Interfaces
Neural networks are computational models inspired by the human brain, consisting of interconnected nodes or neurons that process and transmit information. They play a crucial role in various applications, particularly in analyzing and interpreting complex data patterns, which is essential for the development and functionality of brain-computer interfaces. By mimicking the way our brains learn and make decisions, neural networks can help bridge the gap between neural activity and machine learning algorithms, enhancing communication between humans and computers.
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