Dynamic Homeostatic Regulation in Energy-Efficient Time-Locked Neuromorphic Systems

Amir Zjajo

doi:10.1109/BIBE50027.2020.00122

Dynamic Homeostatic Regulation in Energy-Efficient Time-Locked Neuromorphic Systems

Amir Zjajo

Signal Processing Systems

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

Abstract

In this paper, we present neuromorphic system with built-in temporal control that allows the implementation of transient mechanisms and homeostatic regulation. Due to the interaction between conductance delay and plasticity rules, the network is forming a set of neuronal groups with time-locked, reproducible, and precise firing patterns. Experimental results obtained in 65 nm CMOS technology illustrate the feasibility of the methodology.

Original language	English
Title of host publication	Proceedings - IEEE 20th International Conference on Bioinformatics and Bioengineering, BIBE 2020
Editors	Lisa O’Conner
Place of Publication	Piscataway
Publisher	IEEE
Pages	719-722
Number of pages	4
ISBN (Electronic)	978-1-7281-9574-2
ISBN (Print)	978-1-7281-9575-9
DOIs	https://doi.org/10.1109/BIBE50027.2020.00122
Publication status	Published - 2020
Event	2020 IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE) - Cincinnati, United States Duration: 26 Oct 2020 → 28 Oct 2020 Conference number: 20th

Publication series

Name	Proceedings - IEEE 20th International Conference on Bioinformatics and Bioengineering, BIBE 2020

Conference

Conference	2020 IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE)
Abbreviated title	BIBE 2020
Country/Territory	United States
City	Cincinnati
Period	26/10/20 → 28/10/20

Keywords

homeostatic regulation
robustness
spiking neural network
synchrony

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10.1109/BIBE50027.2020.00122

Cite this

Zjajo, A. (2020). Dynamic Homeostatic Regulation in Energy-Efficient Time-Locked Neuromorphic Systems. In L. O’Conner (Ed.), Proceedings - IEEE 20th International Conference on Bioinformatics and Bioengineering, BIBE 2020 (pp. 719-722). Article 9288027 (Proceedings - IEEE 20th International Conference on Bioinformatics and Bioengineering, BIBE 2020). IEEE. https://doi.org/10.1109/BIBE50027.2020.00122

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title = "Dynamic Homeostatic Regulation in Energy-Efficient Time-Locked Neuromorphic Systems",

abstract = "In this paper, we present neuromorphic system with built-in temporal control that allows the implementation of transient mechanisms and homeostatic regulation. Due to the interaction between conductance delay and plasticity rules, the network is forming a set of neuronal groups with time-locked, reproducible, and precise firing patterns. Experimental results obtained in 65 nm CMOS technology illustrate the feasibility of the methodology.",

keywords = "homeostatic regulation, robustness, spiking neural network, synchrony",

author = "Amir Zjajo",

year = "2020",

doi = "10.1109/BIBE50027.2020.00122",

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editor = "{O{\textquoteright}Conner }, Lisa",

booktitle = "Proceedings - IEEE 20th International Conference on Bioinformatics and Bioengineering, BIBE 2020",

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note = "2020 IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE), BIBE 2020 ; Conference date: 26-10-2020 Through 28-10-2020",

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Zjajo, A 2020, Dynamic Homeostatic Regulation in Energy-Efficient Time-Locked Neuromorphic Systems. in L O’Conner (ed.), Proceedings - IEEE 20th International Conference on Bioinformatics and Bioengineering, BIBE 2020., 9288027, Proceedings - IEEE 20th International Conference on Bioinformatics and Bioengineering, BIBE 2020, IEEE, Piscataway, pp. 719-722, 2020 IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE), Cincinnati, United States, 26/10/20. https://doi.org/10.1109/BIBE50027.2020.00122

Dynamic Homeostatic Regulation in Energy-Efficient Time-Locked Neuromorphic Systems. / Zjajo, Amir.
Proceedings - IEEE 20th International Conference on Bioinformatics and Bioengineering, BIBE 2020. ed. / Lisa O’Conner . Piscataway: IEEE, 2020. p. 719-722 9288027 (Proceedings - IEEE 20th International Conference on Bioinformatics and Bioengineering, BIBE 2020).

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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AB - In this paper, we present neuromorphic system with built-in temporal control that allows the implementation of transient mechanisms and homeostatic regulation. Due to the interaction between conductance delay and plasticity rules, the network is forming a set of neuronal groups with time-locked, reproducible, and precise firing patterns. Experimental results obtained in 65 nm CMOS technology illustrate the feasibility of the methodology.

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T3 - Proceedings - IEEE 20th International Conference on Bioinformatics and Bioengineering, BIBE 2020

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BT - Proceedings - IEEE 20th International Conference on Bioinformatics and Bioengineering, BIBE 2020

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PB - IEEE

CY - Piscataway

T2 - 2020 IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE)

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ER -

Zjajo A. Dynamic Homeostatic Regulation in Energy-Efficient Time-Locked Neuromorphic Systems. In O’Conner L, editor, Proceedings - IEEE 20th International Conference on Bioinformatics and Bioengineering, BIBE 2020. Piscataway: IEEE. 2020. p. 719-722. 9288027. (Proceedings - IEEE 20th International Conference on Bioinformatics and Bioengineering, BIBE 2020). doi: 10.1109/BIBE50027.2020.00122

Dynamic Homeostatic Regulation in Energy-Efficient Time-Locked Neuromorphic Systems

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