A Standard-Cell-Based Neuro-Inspired Integrate-and-Fire ATC for Biological and Low-Frequency Signals

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Continuous-time (CT) asynchronous data converters namely, ADCs and analog-to-time converters (ATCs), can be beneficial for certain types of applications, such as, processing of biological signals with sparse information. A particular case of these converters is the integrate-and-fire converter (IFC) that is inspired by the neural system. This paper presents a standard-cell-based (SCB) open-loop IFC circuit, designed and prototyped in a 130 nm CMOS standard process. It has a power dissipation of 59 μW and an energy per pulse of 18 pJ, which is one of the lowest energy per pulse consumption reported for IFC circuits, without requiring an external clock. The maximum pulse density (average firing-rate) is 3300 kHz. It is mostly digital, using only two additional on-chip integrating capacitors.
Original languageEnglish
Title of host publicationBioCAS 2023
Subtitle of host publication2023 IEEE Biomedical Circuits and Systems Conference
Place of PublicationNew Jersey
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages5
ISBN (Electronic)979-8-3503-0026-0
ISBN (Print)979-8-3503-0027-7
DOIs
Publication statusPublished - 2023
Event2023 IEEE Biomedical Circuits and Systems Conference, BioCAS 2023 - Toronto, Canada
Duration: 19 Oct 202321 Oct 2023

Publication series

NameIEEE Biomedical Circuits and Systems (BIOCAS)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
ISSN (Print)2163-4025
ISSN (Electronic)2766-4465

Conference

Conference2023 IEEE Biomedical Circuits and Systems Conference, BioCAS 2023
Country/TerritoryCanada
CityToronto
Period19/10/2321/10/23

Keywords

  • ADC
  • analog-to-time converter (ATC)
  • integrate-and-fire converter (IFC) circuit
  • Neuroelectronics
  • standard-cell-based (SCB)
  • time encoding machine (TEM)

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