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Parametric Anatomical Modeling is a method to create a formal description of neural networks that meet the anatomical properties of real 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.

On the following sides, some important concepts of PAM are explained. An introductory video about PAM can be found here.

Table of contents

• Mapping
• Connections
• Modeling Techniques
• Data Structures

Terminology

• Source Layer: layer of presynaptic neurons
• Target Layer: layer of postsynaptic neurons
• Synaptic Layer: layer for synapses of pre- and postsynaptic neurons
• Layer has
  • several types of neuron groups
  • several synaptic layers