DocumentCode
2259721
Title
Combination of diffuse and local connections in the cortex
Author
Remmelzwaal, Leendert A. ; Tapson, Jonathan ; Ellis, George F R
Author_Institution
Dept. of Electr. Eng., Univ. of Cape Town, Rondebosch, South Africa
fYear
2011
fDate
13-15 Sept. 2011
Firstpage
1
Lastpage
4
Abstract
We present a simple neural network model that combines local and diffuse connections. It represents the interaction between ascending or monamine systems, and the cortex in the human brain. We show that this simple model allows the use of salience (cognitive significance) as an input and response in the neural network. Results for single and multiple-trial learning show that salience can drive the learning process to a high degree.
Keywords
brain models; cognitive systems; learning (artificial intelligence); neural nets; neurophysiology; physiological models; cortex; diffuse connections; human brain; learning processing; local connections; multiple-trial learning; neural network model; Backpropagation; Biological neural networks; Brain modeling; Conferences; Educational institutions; Humans; Neurons; ascending systems; cortex; one-time learning; salience;
fLanguage
English
Publisher
ieee
Conference_Titel
AFRICON, 2011
Conference_Location
Livingstone
ISSN
2153-0025
Print_ISBN
978-1-61284-992-8
Type
conf
DOI
10.1109/AFRCON.2011.6072107
Filename
6072107
Link To Document