|
The Sydney eScholarship Repository >
Postgraduate Theses >
Sydney Digital Theses >
Please use this identifier to cite or link to this item:
http://hdl.handle.net/2123/816
|
| Title: | Modeling the large-scale electrical activity of the brain |
| Authors: | Rennie, Christopher John |
| Keywords: | electroencephalography;mathematical modeling;EEG;ERP;dynamics |
| Issue Date: | 30-Mar-2006 |
| Publisher: | University of Sydney. Physics |
| Abstract: | Modeling of brain activity is often seen as requiring great computing power. However in the special case of modeling scalp EEG it is possible to adopt a continuum approximation for the cortex, and then to use the techniques of wave physics to describe its consequent large-scale dynamics. The model incorporates the following critical components: two classes of neurons (excitatory and inhibitory), the typical number and strength of connections between these two classes, the corresponding connections within the thalamus and between the thalamus and cortex, the time constants and basic physiology of neurons, and the propagation of activity between neurons. Representing the immense intricacy of brain anatomy and physiology with suitable summary equations and average parameter values has meant that the model is able to capture the essential characteristics of EEG and ERPs, and to do so in a computationally manageable way. |
| URI: | http://hdl.handle.net/2123/816 |
| Appears in Collections: | Sydney Digital Theses
|
Items in Sydney eScholarship Repository are protected by copyright, with all rights reserved, unless otherwise indicated.
|
