Abstract
Our goal is to develop silicon learning systems. One impediment to achieving this goal has been the lack of a simple circuit element combining nonvolatile analog memory storage with locally computed memory updates. Existing circuits [63, 132] typically are large and complex; the nonvolatile floating-gate devices, such as EEPROM transistors, typically are optimized for binary-valued storage [17], and do not compute their own memory updates. Although floating-gate transistors can provide nonvolatile analog storage [1, 15], because writing the memory entails the difficult process of moving electrons through SiO2, these devices have not seen wide use as memory elements in silicon learning systems.
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Diorio, C., Hasler, P., Minch, B.A., Mead, C. (1998). Floating-Gate MOS Synapse Transistors. In: Lande, T.S. (eds) Neuromorphic Systems Engineering. The Springer International Series in Engineering and Computer Science, vol 447. Springer, Boston, MA. https://doi.org/10.1007/978-0-585-28001-1_14
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DOI: https://doi.org/10.1007/978-0-585-28001-1_14
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