A memristor-based long short term memory circuit

Kamilya Smagulova, Olga Krestinskaya, Alex Pappachen James

Research output: Contribution to journalArticlepeer-review

43 Citations (Scopus)

Abstract

Long-short term memory (LSTM) is a cognitive architecture that aims to mimic the sequence temporal memory processes in human brain. The state and time-dependent based processing of events is essential to enable contextual processing in several applications such as natural language processing, speech recognition and machine translations. There are many different variants of LSTM and almost all of them are software based. The hardware implementation of LSTM remains as an open problem. In this work, we propose a hardware implementation of LSTM system using memristors. Memristor has proved to mimic behavior of a biological synapse and has promising properties such as smaller size and absence of current leakage among others, making it a suitable element for designing LSTM functions. Sigmoid and hyperbolic tangent functions hardware realization can be performed by using a CMOS-memristor threshold logic circuit. These ideas can be extended for a practical application of implementing sequence learning in real-time sensory processing data.

Original languageEnglish
Pages (from-to)1-6
Number of pages6
JournalAnalog Integrated Circuits and Signal Processing
DOIs
Publication statusAccepted/In press - Apr 2 2018

Keywords

  • LSTM
  • Memristor
  • Memristor crossbar array

ASJC Scopus subject areas

  • Signal Processing
  • Hardware and Architecture
  • Surfaces, Coatings and Films

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