Modelling Neuronal Growth in BioDynaMo
The central nervous system is a vast and complex assembly of neurons responsible for information integration, resulting in an astonishing variety of phenotypic responses. Understanding how this highly complex structure emerges from a few progenitor cells that self-organize represents one of the biggest challenge to modern neuroscience. To reach this goal, computational neuroscience and modelling have become an increasingly used tool during the past decades. By being able to model both cell bodies and neurites (dendrites and axons) growth self organisation, BioDynaMo is particularly well suited to conduct neural tissue developmental studies. By representing neurites as a chain of small cylinders attached to a cell body, it is possible to precisely model dendritic and axonal arbours. Validation can be done by comparing these simulated neurons with real morphologies obtained during in-vitro experiments. Metrics such as the arbour length and diameter, the number of branching point or ...