Nanoionic Redox based Resistive Switching Devices as Synapse for Bio-inspired Computing Architectures: A Survey

Aabid Amin Fida; Farooq Ahmad Khanday; Furqan Zahoor; Tun Zainal Azni Bin Zulkifli

doi:10.1109/ICOEI48184.2020.9142927

Nanoionic Redox based Resistive Switching Devices as Synapse for Bio-inspired Computing Architectures: A Survey

Aabid Amin Fida, Farooq Ahmad Khanday, Furqan Zahoor, Tun Zainal Azni Bin Zulkifli

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

Neuromemristive circuits represent a new paradigm in the field of neuromorphic computing wherein memristive devices are used as artificial synapses. The primary benefit of these devices is that they take advantage of material properties to emulate the temporal and biophysical properties of biological neural elements. Memristors under their state-dependent non-linear properties can mimic the biological synaptic behavior of co-localized memory and processing abilities. Besides, memristors have also been reported to replicate biological learning rules like spike-timing-dependent plasticity. This paper focuses on one class of memristors based on resistive switching caused by nano ionic redox processes. The operation, classification, and key behaviors are discussed while taking into consideration the key challenges that are encountered in their synaptic implementations.

Original language	English
Title of host publication	Proceedings of the 4th International Conference on Trends in Electronics and Informatics, ICOEI 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	147-154
Number of pages	8
ISBN (Electronic)	9781728155180
DOIs	https://doi.org/10.1109/ICOEI48184.2020.9142927
State	Published - Jun 2020
Externally published	Yes
Event	4th International Conference on Trends in Electronics and Informatics, ICOEI 2020 - Tirunelveli, India Duration: 15 Jun 2020 → 17 Jun 2020

Publication series

Name	Proceedings of the 4th International Conference on Trends in Electronics and Informatics, ICOEI 2020

Conference

Conference	4th International Conference on Trends in Electronics and Informatics, ICOEI 2020
Country/Territory	India
City	Tirunelveli
Period	15/06/20 → 17/06/20

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

Keywords

Neuromorphic
RRAM
memristor
resistive switching
synapse

ASJC Scopus subject areas

Computer Science Applications
Hardware and Architecture
Information Systems
Information Systems and Management
Electrical and Electronic Engineering
Artificial Intelligence
Computer Networks and Communications

Access to Document

10.1109/ICOEI48184.2020.9142927

Cite this

Fida, A. A., Khanday, F. A., Zahoor, F., & Azni Bin Zulkifli, T. Z. (2020). Nanoionic Redox based Resistive Switching Devices as Synapse for Bio-inspired Computing Architectures: A Survey. In Proceedings of the 4th International Conference on Trends in Electronics and Informatics, ICOEI 2020 (pp. 147-154). Article 9142927 (Proceedings of the 4th International Conference on Trends in Electronics and Informatics, ICOEI 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICOEI48184.2020.9142927

Fida, Aabid Amin ; Khanday, Farooq Ahmad ; Zahoor, Furqan et al. / Nanoionic Redox based Resistive Switching Devices as Synapse for Bio-inspired Computing Architectures : A Survey. Proceedings of the 4th International Conference on Trends in Electronics and Informatics, ICOEI 2020. Institute of Electrical and Electronics Engineers Inc., 2020. pp. 147-154 (Proceedings of the 4th International Conference on Trends in Electronics and Informatics, ICOEI 2020).

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title = "Nanoionic Redox based Resistive Switching Devices as Synapse for Bio-inspired Computing Architectures: A Survey",

abstract = "Neuromemristive circuits represent a new paradigm in the field of neuromorphic computing wherein memristive devices are used as artificial synapses. The primary benefit of these devices is that they take advantage of material properties to emulate the temporal and biophysical properties of biological neural elements. Memristors under their state-dependent non-linear properties can mimic the biological synaptic behavior of co-localized memory and processing abilities. Besides, memristors have also been reported to replicate biological learning rules like spike-timing-dependent plasticity. This paper focuses on one class of memristors based on resistive switching caused by nano ionic redox processes. The operation, classification, and key behaviors are discussed while taking into consideration the key challenges that are encountered in their synaptic implementations.",

keywords = "Neuromorphic, RRAM, memristor, resistive switching, synapse",

author = "Fida, \{Aabid Amin\} and Khanday, \{Farooq Ahmad\} and Furqan Zahoor and \{Azni Bin Zulkifli\}, \{Tun Zainal\}",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 4th International Conference on Trends in Electronics and Informatics, ICOEI 2020 ; Conference date: 15-06-2020 Through 17-06-2020",

year = "2020",

month = jun,

doi = "10.1109/ICOEI48184.2020.9142927",

language = "English",

series = "Proceedings of the 4th International Conference on Trends in Electronics and Informatics, ICOEI 2020",

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Fida, AA, Khanday, FA, Zahoor, F & Azni Bin Zulkifli, TZ 2020, Nanoionic Redox based Resistive Switching Devices as Synapse for Bio-inspired Computing Architectures: A Survey. in Proceedings of the 4th International Conference on Trends in Electronics and Informatics, ICOEI 2020., 9142927, Proceedings of the 4th International Conference on Trends in Electronics and Informatics, ICOEI 2020, Institute of Electrical and Electronics Engineers Inc., pp. 147-154, 4th International Conference on Trends in Electronics and Informatics, ICOEI 2020, Tirunelveli, India, 15/06/20. https://doi.org/10.1109/ICOEI48184.2020.9142927

Nanoionic Redox based Resistive Switching Devices as Synapse for Bio-inspired Computing Architectures: A Survey. / Fida, Aabid Amin; Khanday, Farooq Ahmad; Zahoor, Furqan et al.
Proceedings of the 4th International Conference on Trends in Electronics and Informatics, ICOEI 2020. Institute of Electrical and Electronics Engineers Inc., 2020. p. 147-154 9142927 (Proceedings of the 4th International Conference on Trends in Electronics and Informatics, ICOEI 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Fida AA, Khanday FA, Zahoor F, Azni Bin Zulkifli TZ. Nanoionic Redox based Resistive Switching Devices as Synapse for Bio-inspired Computing Architectures: A Survey. In Proceedings of the 4th International Conference on Trends in Electronics and Informatics, ICOEI 2020. Institute of Electrical and Electronics Engineers Inc. 2020. p. 147-154. 9142927. (Proceedings of the 4th International Conference on Trends in Electronics and Informatics, ICOEI 2020). doi: 10.1109/ICOEI48184.2020.9142927

Nanoionic Redox based Resistive Switching Devices as Synapse for Bio-inspired Computing Architectures: A Survey

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this