A Unified Learning Framework for Memristive Neuromorphic Hardware

Abstract

Realizing adaptive brain functions subserving perception, cognition, and motor behavior on biological temporal and spatial scales remains out of reach for even the fastest computers. Newly introduced memristive hardware approaches open the opportunity to implement dense, low-power synaptic memories of up to 10 bits per square centimeter. Memristors have the… (More)

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