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Schüffny, Franz Marcus [Author]; Höppner, Sebastian [Author]; Hänzsche, Stefan [Author]; George, Richard Miru [Author]; Zeinolabedin, Seyed Mohammad Ali [Author]; Mayr, Christian [Author] ; Technische Universität Dresden

Power Minimization in Neural Recording ΔΣ Modulators by Adaptive Back-Gate Voltage Tuning

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  • Media type: E-Article
  • Title: Power Minimization in Neural Recording ΔΣ Modulators by Adaptive Back-Gate Voltage Tuning
  • Contributor: Schüffny, Franz Marcus [Author]; Höppner, Sebastian [Author]; Hänzsche, Stefan [Author]; George, Richard Miru [Author]; Zeinolabedin, Seyed Mohammad Ali [Author]; Mayr, Christian [Author]
  • Published: NY: IEEE - Institute of Electrical and Electronics Engineers, New York, [2024]
  • Published in: IEEE solid-state circuits letters
  • Language: English
  • DOI: 10.1109/LSSC.2023.3270243
  • Keywords: rauscharme Verstärker ; Aufzeichnung ; 1/f-Rauschen ; back-gate adaptation ; 1/f-noise ; recording ; Back-Gate-Anpassung ; Operationsverstärker ; low-noise amplifiers ; operational amplifiers
  • Origination:
  • Footnote:
  • Description: This letter presents a scalable technique to reduce the power of the analog input stage in neural recording front-ends in Globalfoundries 22 -nm FDSOI. The back-gate voltages are adapted to reduce the threshold voltage and thus allow supply voltage reduction. This adaption increases PVT stability of subthreshold circuits. A comparison to a conventional delta–sigma ADC is drawn and the minimum power point is measured, resulting in 0.7 - μW /channel at 7.2 - μV input-referred noise. Additionally, the transition to smaller technologies promises low-power consumption in the digital domain, by allowing smaller supply voltage and higher integration density.
  • Access State: Open Access
  • Rights information: In Copyright