Biological neuron compared to the artificial neuron used in neural networks.
- The top shows a biologic neuron: dendrites receive signals, the cell body processes them, the axon transmits the signal, and terminals pass it onward.
- The bottom shows an artificial neuron: inputs x₁ to xₙ are weighted by w₁ to wₙ, summed with bias B, then passed through activation function f to produce output. This model is the basis for artificial neural networks.
It drives applications such as image classification in social media and voice recognition in virtual assistants.