Memristors as Artificial Biochemical Reactions in Cytomorphic Systems

Hanna Abo Hanna, Loai Danial, Shahar Kvatinsky, Ramez Daniel

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A memristor is a nano-scale two-Terminal stochastic electronic device. This paper proposes functional analogies between biochemical reactions and memristive devices. It shows that memristors can mimic biochemical reactions and gene networks efficiently and capture both deterministic and stochastic dynamics at the nano-scale level. We present different abstraction models and voltage-controlled resistive switching circuits that inherently model the activity of genetic circuits with low signal-To-noise ratio (SNR). These findings constitute a milestone for cell-inspired circuit design with noise-Tolerance and energy-efficiency features, which can provide a fast and simple emulative framework for studying arbitrary large-scale biological networks in systems and synthetic biology.

Original languageEnglish
Title of host publication2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018
ISBN (Electronic)9781538663783
DOIs
StatePublished - 2 Jul 2018
Event2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018 - Eilat, Israel
Duration: 12 Dec 201814 Dec 2018

Publication series

Name2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018

Conference

Conference2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018
Country/TerritoryIsrael
CityEilat
Period12/12/1814/12/18

Keywords

  • Cytomorphic
  • cell-inspired circuits
  • memristors
  • molecular biology
  • synthetic biology
  • systems biology

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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