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

Amir Zjajo

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-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 languageEnglish
Title of host publicationProceedings - IEEE 20th International Conference on Bioinformatics and Bioengineering, BIBE 2020
EditorsLisa O’Conner
Place of PublicationPiscataway
PublisherIEEE
Pages719-722
Number of pages4
ISBN (Electronic)978-1-7281-9574-2
ISBN (Print)978-1-7281-9575-9
DOIs
Publication statusPublished - 2020
Event2020 IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE) - Cincinnati, United States
Duration: 26 Oct 202028 Oct 2020
Conference number: 20th

Publication series

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

Conference

Conference2020 IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE)
Abbreviated titleBIBE 2020
CountryUnited States
CityCincinnati
Period26/10/2028/10/20

Keywords

  • homeostatic regulation
  • robustness
  • spiking neural network
  • synchrony

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