@inproceedings{c6f3117507514b1f87f09351b80ff299,
title = "Memristors as Artificial Biochemical Reactions in Cytomorphic Systems",
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.",
keywords = "Cytomorphic, cell-inspired circuits, memristors, molecular biology, synthetic biology, systems biology",
author = "Hanna, {Hanna Abo} and Loai Danial and Shahar Kvatinsky and Ramez Daniel",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018 ; Conference date: 12-12-2018 Through 14-12-2018",
year = "2018",
month = jul,
day = "2",
doi = "10.1109/ICSEE.2018.8645982",
language = "الإنجليزيّة",
series = "2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018",
booktitle = "2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018",
}