Nob

A nob (short for network object) is a visual object belonging to the neural network, e.g. a neuron.

Nobs fall into one of two categories: Natural nobs and artificial nobs.

Natural nobs have a counterpart in real biological neural networks. Natural nobs are:
 * Neurons
 * Pipes (dendrite sections)
 * Knots (dendrite branching points)

Artificial nobs are only tools for the construction of the network. In a simulation run, these nobs do not make sense (although they would not cause an error). Artificial nobs are:
 * Neurons without full connection to the network:
 * Input neurons
 * Output neurons
 * Orphaned neurons
 * Connectors
 * Input connectors
 * Output connectors
 * Closed connectors

The design philosophy for nobs is to give natural nobs a more organic, natural look, while artificial Nobs are deliberately angular. In the case of dendrites (pipes and knots) this concept is not yet implemented consistently. Maybe in a future version of NNetSimu, dendrites will look more natural.