The population vector model is a theoretical framework that explains how groups of neurons collectively represent information by encoding direction or movement through a combination of individual neural responses. This model highlights the idea that the output from multiple neurons, rather than a single neuron, can create a more accurate representation of a stimulus or action. It emphasizes the importance of neural populations in encoding complex motor commands and sensory perceptions.
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