neuroscience

Class with too many parameters: better design strategy? Question: I am working with models of neurons. One class I am designing is a cell class which is a topological description of a neuron (several compartments connected together). It has many parameters but they are all relevant, for example: number of axon segments, apical bifibrications, somatic …