ABSTRACT
Real neurons have dendrites, axons, and synapses, all embedded in complicated densely wired structures. A Neuron's complicated morphology is closely related to its functions and, therefore, capturing accurate morphologically and physiologically details are essential to link behavior to its underlying biological mechanisms. In this chapter, we will explore the rationale and some of the techniques for morphologically detailed neuronal modeling. We will particularly scale the dimensionless point processes we discussed earlier to dimensioned shapes using the cable equation and further scale them to branching morphologies using the compartmental model. Finally, we will use retinal directional selectivity as a case study.
