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Language of a fly proves surprising
Date:3/7/2008

o tell the rest of the fly exactly what is happening.

In addition to the complex motions possible with the teams apparatus, they conducted their experiment in a wooded setting similar to the flys natural environment, adding to the complexity and realism of the experiment.

Nemenman and his colleagues research is significant because it re-examines fundamental assumptions that became the basis of neuromimetic approaches to artificial intelligence, such as artificial neural networks. These assumptions have developed networks based on reacting to a number of impulses within a given time period rather than the precise timing of those impulses.

This may be one of the main reasons why artificial neural networks do not perform anywhere comparable to a mammalian visual brain, said Nemenman, who is a member of Los Alamos Computer, Computational and Statistical Sciences Division. In fact, the National Science Foundation has recognized the importance of this distinction and has recently funded a project, led by Garrett Kenyon of the Laboratorys Physics Division, to enable creation of large, next-generation neural networks.

New understanding of neural function in the design of computers could assist in analyses of satellite images and facial-pattern recognition in high-security environments, and could help solve other national and global security problems.


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Contact: James E. Rickman
jamesr@lanl.gov
505-665-9203
DOE/Los Alamos National Laboratory
Source:Eurekalert

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