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What can brain researchers learn from computer engineers and vice versa?
Source
International Conference on Computer Aided Design archive
Proceedings of the 2008 IEEE/ACM International Conference on Computer-Aided Design table of contents
San Jose, California
SESSION: Keynotes table of contents
Article No. 2  
Year of Publication: 2008
ISBN ~ ISSN:1092-3152 , 978-1-4244-2820-5
Author
Dmitri "Mitya" Chklovskii  Janelia Farm, Howard Hughes Medical Institute, Ashburn, VA
Sponsors
: IEEE CASS/CANDE
: IEEE Council on Electronic Design Automation (CEDA)
SIGDA: ACM Special Interest Group on Design Automation
Publisher
IEEE Press  Piscataway, NJ, USA
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ABSTRACT

The human brain is a network containing a hundred billion neurons, each communicating with several thousand others. As the wiring for neuronal communication draws on limited space and energy resources, evolution had to optimize their use. This principle of minimizing wiring costs, similar to that in computer design, explains many features of brain architecture, including placement and shape of many neurons. However, the shape of some neurons and their synaptic properties remained unexplained. This led us to the principle of maximization of brain's ability to store information. Combination of the two principles provides a systematic view of brain architecture, necessary to explain brain function. It would be interesting to see whether advances in understanding brain function will make impact on computer design.