Winner-take-all networks are a type of competitive neural network where multiple neurons or units compete to respond to a given input, with only the most active neuron being allowed to 'win' and represent the output. This mechanism mimics certain aspects of decision-making in biological systems by filtering out noise and emphasizing the most relevant signals. They are often used for action selection and decision-making, as well as for controlling autonomous systems by simplifying complex inputs into clear outputs.
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