Resistance-Based Embedded Non-Volatile Memories as Synaptic Devices in Spiking Neural Networks

This paper presents prospect and challenges of using state-of-the-art memory technologies in neuro-inspired computing. As it has become critical to move beyond the Von-Neumann architecture, emulation of biological system has been sought after. In this paper, characteristics of a desired synaptic dev...

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Bibliographic Details
Published in2019 IEEE Workshop on Microelectronics and Electron Devices (WMED) pp. 1 - 4
Main Authors Koushan, Foroozan S., Steve Kang, Sung-Mo
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.04.2019
Subjects
Biological neural networks
CBRAM
emerging NVM
Hardware
Memristor
Memristors
Neural network
Neuromorphic technology
Neuromorphics
Neurons
Nonvolatile memory
PCM
RRAM
Synapses
Synaptic device
Von-Neumann architecture
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Summary:This paper presents prospect and challenges of using state-of-the-art memory technologies in neuro-inspired computing. As it has become critical to move beyond the Von-Neumann architecture, emulation of biological system has been sought after. In this paper, characteristics of a desired synaptic device required for constructing neural network are examined to highlight what functionalities of synapses can be emulated with new non-volatile memory (NVM) devices, what the basic requirements are to realize artificial inorganic neurons and synapses, and which material and device structures can be used for this purpose.
ISSN:1947-3842
DOI:10.1109/WMED.2019.8714149