Stochastic generation of biologically accurate brain networks
Basic circuits, which form the building blocks of the brain, have been identiffied
in recent literature. We propose to treat these basic circuits as "stochastic generators"
whose instances serve to wire a portion of the mouse brain. Very much in the same
manner as genes generate proteins by providing templates for their construction, we
view the catalog of basic circuits as providing templates for wiring up the neurons
of the brain. This thesis work involves a) deffining a framework for the stochastic
generation of brain networks, b) generation of sample networks from the basic circuits,
and c) visualization of the generated networks.
Advisor:McCormick, Bruce H.; Amato, Nancy; Choe, Yoonsuck; House, Donald
School:Texas A&M University
School Location:USA - Texas
Source Type:Master's Thesis
Keywords:cortical networks biologically accurate modeling
Date of Publication:12/01/2005