The Roadmap to Realize Memristive Three-Dimensional Neuromorphic Computing System

Hongyu An, Kangjun Bai and Yang Cindy Yi

A chapter in Advances in Memristor Neural Networks - Modeling and Applications from IntechOpen

Abstract: Neuromorphic computing, an emerging non-von Neumann computing mimicking the physical structure and signal processing technique of mammalian brains, potentially achieves the same level of computing and power efficiencies of mammalian brains. This chapter will discuss the state-of-the-art research trend on neuromorphic computing with memristors as electronic synapses. Furthermore, a novel three-dimensional (3D) neuromorphic computing architecture combining memristor and monolithic 3D integration technology would be introduced; such computing architecture has capabilities to reduce the system power consumption, provide high connectivity, resolve the routing congestion issues, and offer the massively parallel data processing. Moreover, the design methodology of applying the capacitance formed by the through-silicon vias (TSVs) to generate a membrane potential in 3D neuromorphic computing system would be discussed in this chapter.

Keywords: memristor; synapse; three-dimensional integrated circuit; neuromorphic computing; analog/mixed-signal circuit design; monolithic 3D integration (search for similar items in EconPapers)
JEL-codes: C60 (search for similar items in EconPapers)
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Persistent link: https://EconPapers.repec.org/RePEc:ito:pchaps:152210

DOI: 10.5772/intechopen.78986

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