Freudenburg, Z. (2004) Hebbian Learning in the Freshwater Turtle Visual Cortex. Master's Thesis / Essay, Computing Science.
|
Text
Infor_Ma_2004_ZFreudenburg.CV.pdf - Published Version Download (1MB) | Preview |
Abstract
The Hebbian synaptic weight learning rule is the most basic and wide spread learning rule used in neuromodeling. However, to date there has been little work done in applying this simple learning mechanism to significantly largescale cortex models. The visual cortex of a freshwater turtle, when stimulated by a pattern of light, produces waves of activity that have been both recorded exper mentally and simulated using a large scale model cortex. It has been shown using the model cortex that the cortex waves encode spatial information of visual input and can be used fordetection. This paper explores the effects of Hebbian learning on the wave activity patterns of the freshwater cortex model.
| Item Type: | Thesis (Master's Thesis / Essay) |
|---|---|
| Degree programme: | Computing Science |
| Thesis type: | Master's Thesis / Essay |
| Language: | English |
| Date Deposited: | 15 Feb 2018 07:30 |
| Last Modified: | 15 Feb 2018 07:30 |
| URI: | https://fse.studenttheses.ub.rug.nl/id/eprint/8894 |
Actions (login required)
 |
View Item |