The reason for the development of such a framework is to enable modeling of networks with a number of neurons similar to that in neuronal network cultures, and to do so at a level that includes details about the types of synapses and their locations on axonal and dendritic fibres. With an adequate modeling framework, it is possible to implement simulations that make hypothesis testing predictions for experiments in culture at the level of detail supported by the framework. Conversely, the results of experiments in the cultured networks can then lead to further improvements of the model framework. Since it is the intent to conduct research about the significance to simulation results of specifics at the framework's level of detail, it is important that simulation models generated with the framework approximate real cultured networks correctly. And to accomplish that, the most basic necessity is that the framework must be able to generate large scale networks with detailed connectivity.

Logically, the stages in the development of the generation framework that are shown here begin with that basic necessity. In the second stage, experiments and the publication of results focuses on achieving a satisfactory approximation of real cultured networks in generated networks. Finally, the generation framework can be used for research about activity in large scale networks and about the function and significance of fibre structure (morphology) and and its physiological components.

Table of Contents

1. Growing Dendritic and Axonal Arbor
2. Identifying Potential Connections
3. Form Interface to the Simulation of 2D Network Generation