Stochastic generation of biologically accurate brain networks

by Aluri, Aravind

Abstract (Summary)
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.
Bibliographical Information:

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

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