Capturing details of short-term synaptic plasticity in simple schemes.
Published: 2004
Language: eng
Number of pages: 94
Description: Rhythmic activity of different frequencies in the brain is associated with behavioural states. Networks of inhibitory cells are critical controllers of rhythmic activity. Better understanding of how changes to the inhibitory connections affect network dynamics is needed since they are known to be affected by many pharmacological agents that have profound behavioural consequences. Such an understanding may provide clues to controlling and predicting system effects of changes in these dynamics. Mathematical models describing the dynamics of these connections have been developed, but their complexity inhibits both computational and mathematical analysis. The aim of this study is to reduce a detailed kinetic scheme describing the dynamics of inhibitory connections to a simple scheme. The results include new simulation software, a reduction technique, and a reduced model for three versions of the detailed scheme.
Notes: Advisers:  B. L. Bardakjian; F. K. Skinner.

Thesis (M.A.Sc.)--University of Toronto, 2004.

Electronic version licensed for access by U. of T. users.

Source: Masters Abstracts International, Volume: 43-03, page: 0904.

MICR copy on microfiche (2 microfiches).