Avantika Sodhi

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As Moore’s law scaling approaches its physical limit, there is increased interest in memristors as a replacement to transistors in memory applications due to their smaller footprint and superior scaling characteristics. However, memristors are intrinsically two-terminal devices, requiring an underlying CMOS control interface for proper operation. Thus the(More)
Memristors have proven to be powerful analogs of neural synapses. While there have been some efforts to exploit this feature, the intrinsic analog nature of the memristive element has not been fully utilized. This paper presents a hardware-efficient neuromorphic CMOS-memristor pattern classifier. The system takes advantage of the memristor as a true analog(More)
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