Emergence of competitive control in a memristor-based neuromorphic circuit

Saeed Afshar; Omid Kavehei; André van Schaik; Jonathan Tapson; Stan Skafidas; Tara Julia Hamilton

doi:10.1109/IJCNN.2012.6252779

Emergence of competitive control in a memristor-based neuromorphic circuit

Saeed Afshar, Omid Kavehei, André van Schaik, Jonathan Tapson, Stan Skafidas, Tara Julia Hamilton

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

5 Citations (Scopus)

Abstract

Recent work in neuroscience is revealing how the blowfly rapidly detects orientation using neural circuits distributed directly behind its photo receptors. These circuits like all biological systems rely on timing, competition, feedback, and energy optimization. The recent realization of the passive memristor device, the so-called fourth fundamental passive element of circuit theory, assists with making low power biologically inspired parallel analog computation achievable. Building on these developments, we present a memristor-based neuromorphic competitive control (mNCC) circuit, which utilizes a single sensor and can control the output of N actuators delivering optimal scalable performance, and immunity from device variation and environmental noise.

Original language	English
Title of host publication	Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN) : 10-15 June 2012, Brisbane, Qld.
Publisher	IEEE
Number of pages	8
ISBN (Print)	9781467314909
DOIs	https://doi.org/10.1109/IJCNN.2012.6252779
Publication status	Published - 2012
Event	International Joint Conference on Neural Networks - Duration: 10 Jun 2012 → …

Conference

Conference	International Joint Conference on Neural Networks
Period	10/06/12 → …

Keywords

blowflies
memristors
neural circuitry
orientation

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10.1109/IJCNN.2012.6252779

Cite this

@inproceedings{421b7a91ebbb4657870dc5cd2a07e1b1,

title = "Emergence of competitive control in a memristor-based neuromorphic circuit",

abstract = "Recent work in neuroscience is revealing how the blowfly rapidly detects orientation using neural circuits distributed directly behind its photo receptors. These circuits like all biological systems rely on timing, competition, feedback, and energy optimization. The recent realization of the passive memristor device, the so-called fourth fundamental passive element of circuit theory, assists with making low power biologically inspired parallel analog computation achievable. Building on these developments, we present a memristor-based neuromorphic competitive control (mNCC) circuit, which utilizes a single sensor and can control the output of N actuators delivering optimal scalable performance, and immunity from device variation and environmental noise.",

keywords = "blowflies, memristors, neural circuitry, orientation",

author = "Saeed Afshar and Omid Kavehei and {van Schaik}, Andr{\'e} and Jonathan Tapson and Stan Skafidas and Hamilton, {Tara Julia}",

year = "2012",

doi = "10.1109/IJCNN.2012.6252779",

language = "English",

isbn = "9781467314909",

booktitle = "Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN) : 10-15 June 2012, Brisbane, Qld.",

publisher = "IEEE",

note = "International Joint Conference on Neural Networks ; Conference date: 10-06-2012",

}

Afshar, S, Kavehei, O, van Schaik, A, Tapson, J, Skafidas, S & Hamilton, TJ 2012, Emergence of competitive control in a memristor-based neuromorphic circuit. in Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN) : 10-15 June 2012, Brisbane, Qld.. IEEE, International Joint Conference on Neural Networks, 10/06/12. https://doi.org/10.1109/IJCNN.2012.6252779

TY - GEN

T1 - Emergence of competitive control in a memristor-based neuromorphic circuit

AU - Afshar, Saeed

AU - Kavehei, Omid

AU - van Schaik, André

AU - Tapson, Jonathan

AU - Skafidas, Stan

AU - Hamilton, Tara Julia

PY - 2012

Y1 - 2012

N2 - Recent work in neuroscience is revealing how the blowfly rapidly detects orientation using neural circuits distributed directly behind its photo receptors. These circuits like all biological systems rely on timing, competition, feedback, and energy optimization. The recent realization of the passive memristor device, the so-called fourth fundamental passive element of circuit theory, assists with making low power biologically inspired parallel analog computation achievable. Building on these developments, we present a memristor-based neuromorphic competitive control (mNCC) circuit, which utilizes a single sensor and can control the output of N actuators delivering optimal scalable performance, and immunity from device variation and environmental noise.

AB - Recent work in neuroscience is revealing how the blowfly rapidly detects orientation using neural circuits distributed directly behind its photo receptors. These circuits like all biological systems rely on timing, competition, feedback, and energy optimization. The recent realization of the passive memristor device, the so-called fourth fundamental passive element of circuit theory, assists with making low power biologically inspired parallel analog computation achievable. Building on these developments, we present a memristor-based neuromorphic competitive control (mNCC) circuit, which utilizes a single sensor and can control the output of N actuators delivering optimal scalable performance, and immunity from device variation and environmental noise.

KW - blowflies

KW - memristors

KW - neural circuitry

KW - orientation

UR - http://handle.uws.edu.au:8081/1959.7/521069

UR - http://www.ieee-wcci2012.org/ieee-wcci2012/images/stories/wcci/cfp/ijcnn122.pdf

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DO - 10.1109/IJCNN.2012.6252779

M3 - Conference Paper

SN - 9781467314909

BT - Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN) : 10-15 June 2012, Brisbane, Qld.

PB - IEEE

T2 - International Joint Conference on Neural Networks

Y2 - 10 June 2012

ER -

Emergence of competitive control in a memristor-based neuromorphic circuit

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