Why does an individual neuron in a neural network have multiple inputs and a single output?

Hello everyone! I'm delving into the world of deep learning and I've been pondering over a fundamental question: Why are individual neurons in a neural network typically designed with multiple inputs but only a single output?

From what I understand, this design is partly inspired by biological neurons. But I'm curious if there's more to it. Are there specific advantages to this configuration? Could other permutations (like multiple outputs, or single input/output) be viable, or do they have inherent limitations? …

deep learning deeplearning design hello individual neurons multiple network neural network neuron neurons world