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A neuron receives signals through its dendrites, combines excitatory and inhibitory inputs, and fires an electrical impulse when the combined effect reaches threshold. The signal then travels along the axon. An artificial neuron works on a simplified version of this idea. Each input is given a weight that determines its influence. The inputs are combined with a bias, then passed through an activation function to produce an output. One artificial neuron is simple. Millions of these operations arranged in layers can form a neural network capable of recognizing patterns in images, text, sound, and other data.