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| Research article summary (published 27 Feb 2003): |
An introduction to bio-inspired artificial neural network architectures.
Full Abstract
In this introduction to artificial neural networks we attempt to give an overview of the most important types of neural networks employed in engineering and explain shortly how they operate and also how they relate to biological neural networks. The focus will mainly be on bio-inspired artificial neural network architectures and specifically to neo-perceptions. The latter belong to the family of convolutional neural networks. Their topology is somewhat similar to the one of the human visual cortex and they are based on receptive fields that allow, in combination with sub-sampling layers, for an improved robustness with regard to local spatial distortions. We demonstrate the application of artificial neural networks to face analysis--a domain we human beings are particularly good at, yet which poses great difficulties for digital computers running deterministic software programs.
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Author information
Author/s: Fasel, B (B);
Affiliation: Beat.Fasel@idiap.ch
Journal and publication information
Publication Type: Journal Article; Research Support, Non-U.S. Gov't; Review
Journal: Acta neurologica Belgica (Acta Neurol Belg), published in Belgium. (Language: eng)
Reference: 2003-Mar; vol 103 (issue 1) : pp 6-12
Dates: Created 2003/04/22; Completed 2003/05/29; Revised 2006/11/15;
PMID: 12704977, status: MEDLINE (last retrieval date: 11/6/2008)
Sourced from the National Library of Medicine. Abstract text and other information may be subject to copyright.
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