A Standard-Cell-Based Neuro-Inspired Integrate-and-Fire Analog-to-Time Converter for Biological and Low-Frequency Signals — Comparison With Analog Version-Reference-Cited by-同舟云学术

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A Standard-Cell-Based Neuro-Inspired Integrate-and-Fire Analog-to-Time Converter for Biological and Low-Frequency Signals — Comparison With Analog Version

Published:2024-08 Issue:4 Volume:18 Page:861-871
ISSN:1932-4545
Container-title:IEEE Transactions on Biomedical Circuits and Systems
language:
Short-container-title:IEEE Trans. Biomed. Circuits Syst.

Author:

Teixeira Miguel Lima¹^ORCID,Oliveira João P.¹^ORCID,Príncipe José C.²^ORCID,Goes João¹^ORCID

Affiliation:

1. UNINOVA-CTS/LASI, Department of Electrical and Computer Engineering (DEEC), NOVA University of Lisbon, Caparica, Portugal

2. Computational NeuroEngineering Laboratory, Department of Electrical and Computer Engineering (ECE), University of Florida, Gainesville, FL, USA

Funder

Portuguese Foundation for Science and Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/4156126/10643416/10586899.pdf?arnumber=10586899

Reference42 articles.

1. A 40-MHz Bandwidth 0–2 MASH VCO-Based Delta-Sigma ADC With 35-fJ/Step FoM

2. Signal reconstruction from spiking neuron models

3. Asynchronous Biphasic Pulse Signal Coding and Its CMOS Realization

4. Approximate reconstruction of bandlimited functions for the integrate and fire sampler

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