PARAMETRIC ANATOMICAL MODELING
Here is a short introduction into PAM.
With Parametric Anatomical Modeling (PAM), we propose a technique and a Python implementation to create artificial neural networks that meet connectivity patterns and connection lengths of large scale neural networks.
The basic idea of PAM is to trace neural, synaptic and intermediate layers from anatomical data and relate those layers to each other. With a set of mapping techniques, complex relationships between those layers can be defined to determine how axonal and dendritic projections traverse through space and where synapses are formed.
The manuscript refers to a video that explains figure 7a in more detail. This video can be found here.
More videos about PAM can be found here.