Neurally inspired silicon learning : from synapse transistors to learning arrays
A computation is an operation that can be performed by a physical machine. We are familiar with digital computers: Machines based on a simple logic function (the binary NOR) and optimized for manipulating numeric variables with high precision. Other computing machines exist: The neurocomputer, the...
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Format: | Others |
Language: | en |
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1997
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Online Access: | https://thesis.library.caltech.edu/88/1/Diorio_c_1997.pdf Diorio, Christopher J. (1997) Neurally inspired silicon learning : from synapse transistors to learning arrays. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/vbyq-fy15. https://resolver.caltech.edu/CaltechETD:etd-01092008-080326 <https://resolver.caltech.edu/CaltechETD:etd-01092008-080326> |
Internet
https://thesis.library.caltech.edu/88/1/Diorio_c_1997.pdfDiorio, Christopher J. (1997) Neurally inspired silicon learning : from synapse transistors to learning arrays. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/vbyq-fy15. https://resolver.caltech.edu/CaltechETD:etd-01092008-080326 <https://resolver.caltech.edu/CaltechETD:etd-01092008-080326>