Artificial neural networks modeling the human brain
As we’ve just seen, large interconnected neural networks help us process information and model the world around us. In simple terms, as can be seen in Figure 3.1, a neuron gathers information from others using the dendrites, sums up all the inputs, and if the resultant value is beyond a certain threshold, it fires. This signal is then sent to connecting neurons through the axon. So, the dendrites are our input, the nucleus inside the neuron is where the processing happens, and the axon is our output.
Figure 3.1: The neuron (Designed by brgfx/Freepik)
If we were to translate the concepts behind the neuron as illustrated in Figure 3.1 to a computer, we would have a structure similar to the diagram in Figure 3.2. Essentially the dendrites are represented by the input nodes and there can be various inputs (X1, X2, X3, …, and Xn). Since each physical dendrite might have different strength, this...
