<ul><li>An artificial neuron could be constructed as a physical analogue device in which the input weights were rheostats and with the sigmoid function as a circuit made up of transistors, resistors, capacitors, and perhaps even inductors.</li><li>The precision and accuracy of physical rheostats are insufficient for most applications, so artificial neural networks are usually implemented as digital simulations.</li><li>The complete neuron comprises the weighted inputs summation function and the sigmoid transfer function.</li><li>The simulated neuron function can be used to build a complete multi-layer perceptron.</li></ul>

The Anatomy of a Neuron

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