Computational Neuroscience
Closed-loop control refers to a system that continuously monitors and adjusts its output based on feedback from the current state of the system. This process allows for real-time corrections and optimizations, making it crucial in motor control and planning. In the context of motor functions, closed-loop control enables the brain to refine movements by comparing the intended action with the actual outcome, thereby enhancing precision and adaptability.
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