Geometric models of local cortical microstructure can be used to develop ne
uroanatomically based network models. First, neuron/fiber spatial distribut
ions and neuron morphology, drawing on a new microstructure imaging technol
ogy, must be quantified within the cortical tissue. Given this database, st
ochastic models recreating the spatial distribution and morphology of the o
bserved neurons are constructed. Synthetic neuron forests are then stochast
ically generated. Neurite near-collisions (e.g., between axons and dendrite
s) are modeled to add synaptic connections. The synapse estimation compleme
nts the forest of synthetic neurons by adding local connectivity, i.e., wir
ing up the forest into network models. (C) 2000 Published by Elsevier Scien
ce B.V. All rights reserved.