Although neurons are displayed in a regular 2D lattice, the actual Euclidian distances between neurons vary. To show the approximate distances between neighboring neurons, the borders of the neuron are shown using different thickness. The line thickness is proportional to the distance between immediate neighbors. The thinner the line, the closer together are the neurons.

To show neuron distances:

• Click the Show Distances between Neurons button.

Information about neuron distances can be useful when classifying an unknown spectrum. The distances show how a neuron has been activated by an unknown correlates with neighboring neurons. The distances can also suggest that spectra from a common may have been activated by multiple close neurons.

Note:
Spectra that activate the same neuron belong, in terms of classification, to the same pattern. Therefore, all spectra drawn inside a neuron box are equal for classification purposes and their graphical positions within a neuron are irrelevant.