A Logical Calculus of Ideas Immanent in Nervous Activity (artificial neuron)

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Plain-language summary

They abstracted a neuron as a device that sums weighted inputs and fires if the total crosses a threshold, ignoring biological detail. They proved that networks of such idealized neurons can implement any logical proposition, linking brain-style computation to formal logic and Turing's model. This established the idea that networks of simple connected units can compute, providing the conceptual starting point for later artificial neural networks.