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• W2128636326 abstract "Examines computation in a framework where the problem is essentially that of extracting a signal from noise, filtering (selective amplification) or estimation. The discussion is relevant to computational tasks in sensory communication, such as vision, speech and natural language processing. We consider real systems, both natural (neural systems) and human engineered (silicon integrated circuits), where information processing takes the form of an irreversible physical process. We argue, and demonstrate experimentally, that it is possible to see the emergence of truly complex processing structures that are commensurate with the physical properties of the computational substrate and are therefore energetically efficient. >" @default.
• W2128636326 created "2016-06-24" @default.
• W2128636326 creator A5057789499 @default.
• W2128636326 date "2002-12-17" @default.
• W2128636326 modified "2023-10-12" @default.
• W2128636326 title "On physical models of neural computation and their analog VLSI implementation" @default.
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• W2128636326 doi "https://doi.org/10.1109/phycmp.1994.363673" @default.
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