Combination of diffuse and local connections in the cortex

Leendert A. Remmelzwaal; Jonathan Tapson; George F. R. Ellis

doi:10.1109/AFRCON.2011.6072107

Combination of diffuse and local connections in the cortex

Leendert A. Remmelzwaal, Jonathan Tapson, George F. R. Ellis

Western Sydney University

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

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.

Original language	English
Title of host publication	2011 AFRICON: Victoria Falls, Livingstone, Zambia, 13 Ã¢€“ 15 September 2011
Publisher	IEEE
Pages	863-866
Number of pages	4
ISBN (Print)	9781612849928
DOIs	https://doi.org/10.1109/AFRCON.2011.6072107
Publication status	Published - 2011
Event	African Electrical Technology Conference - Duration: 13 Sept 2011 → …

Conference

Conference	African Electrical Technology Conference
Period	13/09/11 → …

Keywords

cerebral cortex
neural networks (neurobiology)

Access to Document

10.1109/AFRCON.2011.6072107

Cite this

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title = "Combination of diffuse and local connections in the cortex",

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.",

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AB - 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.

KW - cerebral cortex

KW - neural networks (neurobiology)

UR - http://handle.westernsydney.edu.au:8081/1959.7/uws:42891

U2 - 10.1109/AFRCON.2011.6072107

DO - 10.1109/AFRCON.2011.6072107

M3 - Conference Paper

SN - 9781612849928

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BT - 2011 AFRICON: Victoria Falls, Livingstone, Zambia, 13 Ã¢€“ 15 September 2011

PB - IEEE

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ER -

Combination of diffuse and local connections in the cortex

Abstract

Conference

Keywords

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