METAELECTRONICS: SELF-CONFIGURING NEUROMORPHIC SYSTEMSThis is a featured page

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November 30: METAELECTRONICS: SELF-CONFIGURING NEUROMORPHIC SYSTEMS
1平方cmのチップ上に1兆個のトランジスターを詰め込み、生物学的手法で素子自体が自らこのフィギュレーションを完成するナノテク技術 のデモの案内
Dr. Kwabena Boahen - Stanford University
Colloq Fig 2006-11-30
Nanoelectronic technology promises to cram a trillion transistors onto a 1 cm2 chip. How do we harness all these devices? Abstraction, which has been used until now, is becoming increasingly inadequate as microelectronic chips approach a billion transistors. We can learn from biology, which handles complexity through developmental processes that elaborate a relatively simple starting recipe into a complex mature structure. By borrowing from biology, we have developed two self-configuring micro-electronic chips. These chips capture the ability of epigenetic development to generate representations of features in neural layers and to autoroute connections between these layers. This metamorphic approach provides a powerful alternative to handling complexity in nanoelectronic systems.
Dr. Boahen studied electrical and computer engineering at Johns Hopkins University and earned his doctorate in computation and neural systems from the California Institute of Technology. He formerly was an associate professor of bioengineering at the University of Pennsylvania. Now a bioengineer at Stanford, Dr. Boahen is using silicon integrated circuits to emulate the way neurons compute, linking the seemingly disparate fields of electronics and computer science with neurobiology and medicine. His group’s neuromorphic chips — including a silicon retina that could be used to give the blind sight—were featured on the cover of the May 2005 issue of Scientific American. For more information, visit https://www.stanford.edu/group/brainsinsilicon/.


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