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This lecture covers the theory of decision dynamics in computational neuroscience, focusing on competitive dynamics and effective 2-dimensional models for decision making. It discusses the membrane potential caused by input, population activity, inhibitory populations, reduction to 2 dimensions, and effective models. The instructor explores how two populations compete and inhibit each other, leading to different activity levels and decision outcomes.