Neural and analog computation on reconfigurable mixed-signal platforms
This work addresses neural and analog computation on reconfigurable mixed-signal platforms. Many engineered systems could gain tremendous benefits by emulating neural systems. For example, neural systems are incredibly power efficient and fault-tolerant. They are also capable of types of computation...
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| Format: | Others |
| Language: | en_US |
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Georgia Institute of Technology
2015
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| Online Access: | http://hdl.handle.net/1853/53999 |