Synaptic Device Network Architecture with Feature Extraction for Unsupervised Image Classification

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Sungho KimSung-Jin Choi

Abstract

For the efficient recognition and classification of numerous images, neuroinspired deep learning algorithms have demonstrated their substantial performance. Nevertheless, current deep learning algorithms that are performed on von Neumann machines face significant limitations due to their inherent inefficient energy consumption. Thus, alternative approaches (i.e., neuromorphic systems) are expected to provide more energy-efficient computing units. However, the implementation of the neuromorphic system is still challenging due to the uncertain impacts of synaptic device specifications on system performance. Moreover, only few studies are reported how to implement feature extraction algorithms on the neuromorphic system. Here, a synaptic device network architecture with a feature extraction algorithm inspired by the convolutional neural network is demonstrated. Its pattern recognition efficacy is validated using a device-to-system level simulation. The network can classify handwritten digits at up to a 90% recognition rate despite using fewer synaptic devices than the architecture without feature extraction.

References

Mar 3, 2010·Nano Letters·Sung Hyun JoWei Lu
Mar 29, 2011·Frontiers in Neuroscience·Carlos Zamarreño-RamosBernabé Linares-Barranco
Feb 21, 2013·Frontiers in Neuroscience·T Serrano-GotarredonaB Linares-Barranco
Jun 22, 2013·IEEE Transactions on Pattern Analysis and Machine Intelligence·Yoshua BengioPascal Vincent
May 29, 2015·Nature·Yann LeCunGeoffrey Hinton
Oct 30, 2015·ACS Applied Materials & Interfaces·Sungho KimSung-Jin Choi
Sep 22, 2016·Proceedings of the National Academy of Sciences of the United States of America·Steven K EsserDharmendra S Modha
Sep 30, 2016·Nature Communications·Alexander SerbThemis Prodromakis
Nov 12, 2016·Scientific Reports·Wonjoo KimVikas Rana
May 23, 2017·Nature Nanotechnology·Patrick M SheridanWei D Lu
Oct 25, 2017·Nature Communications·Abu SebastianEvangelos Eleftheriou

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Citations

Sep 16, 2020·Advanced Materials·Ming WangXiaodong Chen

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