Three signals, one decision

One input showed us the path through the neuron. Now give it three.

Each input signal can be on or off. In this simple model, on counts as 1 and off counts as 0. The artificial neuron adds the numbers together.

But receiving a signal does not always make it fire. The total has to reach a minimum called the .

In this example, the threshold is 2. One active signal leaves it quiet. Two or three make it fire.

This kind of artificial neuron was first described in 1943 by .

Several signals have become one decision: enough or not enough.

This follows the same broad pattern as the logic circuits from Module 1. One switch only answers on or off. Connected gates can carry out a larger operation. One artificial neuron makes a small decision, while connected neurons can combine many such decisions.

Three signals, one decision

One input showed us the path through the neuron. Now give it three.

Each input signal can be on or off. In this simple model, on counts as 1 and off counts as 0. The artificial neuron adds the numbers together.

But receiving a signal does not always make it fire. The total has to reach a minimum called the .

In this example, the threshold is 2. One active signal leaves it quiet. Two or three make it fire.

This kind of artificial neuron was first described in 1943 by .

Several signals have become one decision: enough or not enough.