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This lecture introduces the basics of computational neuroscience, focusing on single neuron models. Topics covered include the passive membrane, leaky integrate-and-fire model, and synapses. The lecture also delves into the quality of integrate-and-fire models, Hodgkin-Huxley type models, and noise and variability in integrate-and-fire models.