A CMOS Integrated Low-Power, Ultra-Low-Frequency Relaxation Oscillator for Neuromorphic Applications

Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/GutachtenBeitrag in KonferenzbandBeigetragenBegutachtung

Beitragende

  • Xiaoyan Cheng - , Christian-Albrechts-Universität zu Kiel (CAU) (Autor:in)
  • Tom Birkoben - , Christian-Albrechts-Universität zu Kiel (CAU) (Autor:in)
  • Hermann Kohlstedt - , Christian-Albrechts-Universität zu Kiel (CAU) (Autor:in)
  • Andreas Bahr - , Christian-Albrechts-Universität zu Kiel (CAU) (Autor:in)

Abstract

In the emulation of dynamic activities of neurons, relaxation oscillator plays a decisive role in the form of frequency coding and frequency synchronization. This paper presents a programmable ultra-low-frequency relaxation oscillator for neuromorphic network applications. The oscillator adopts a 250 pA charging current to achieve ultra-low oscillation frequency and utilizes a subthreshold-region current mirror to realize negative differential resistance. The frequency of the proposed oscillator is configurable from 3.15 Hz to 81.30 Hz. The power consumption of a single oscillator is 24 nW with an area occupation of 0.05546 mm2. The design is fabricated in 130 nm CMOS technology with 3.3 V supply voltage. The functionality of the proposed design is proven with measurements.

Details

OriginalspracheEnglisch
Titel2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS)
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers (IEEE)
Seiten170-174
Seitenumfang5
ISBN (elektronisch)978-1-6654-2461-5
ISBN (Print)978-1-6654-2462-2
PublikationsstatusVeröffentlicht - 9 Aug. 2021
Peer-Review-StatusJa
Extern publiziertJa

Konferenz

Titel64th IEEE International Midwest Symposium on Circuits and Systems
KurztitelMWSCAS 2021
Veranstaltungsnummer64
Dauer9 - 11 August 2021
OrtOnline
StadtEast Lansing
LandUSA/Vereinigte Staaten

Externe IDs

Scopus 85115649495
ORCID /0000-0001-8012-6794/work/184006570

Schlagworte

Schlagwörter

  • Current mirrors, Emulation, MOSFET, Neuromorphics, Neurons, Power demand, Resistance, low power, memristive device, neuromorphic application, relaxation oscillator, ultra low frequency