@inproceedings{WOS:001361909500040,
title = {Simulation of Logic Circuits using Bursting Neuron Models},
author = {Mihai Popescu and Hascsi Zoltan and Avireni Srinivasulu and Cristian Ravariu and Roxana Elena Doncu},
editor = {G Brezeanu and O Buiu and ML Ciurea and D Cristea and MA Dinescu and D Dobrescu and M Dragoman and C Kusko and C Moldovan and A Muller and R Muller and D Neculoiu},
doi = {10.1109/CAS62834.2024.10736729},
issn = {1545-827X},
year = {2024},
date = {2024-01-01},
booktitle = {2024 INTERNATIONAL SEMICONDUCTOR CONFERENCE, CAS 2024},
pages = {195-198},
publisher = {IEEE COMPUTER SOC},
address = {10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA},
organization = {IMT Bucharest, Natl Inst Res & Dev Microtechnologies; Minist Res,
Innovat, & Digitalizat Romania; IEEE Electron Devices Soc; IEEE;
NANOTEAM; RONEXPRIM; HISTERESIS; SPECS Surface Nano Anal GmbH;
Continental Automot Romania SRL; Asociatia Pentru Educatie
Antreprenoriala; Carl Zeiss Instruments SRL; AMS 2000 Trading Impex S R
L & Rigaku Corp; Schaefer SE Europe srl; RIANA Horizon Europe Project},
series = {International Semiconductor Conference},
abstract = {A neuron can be perceived as analog circuit in terms of voltage-time
characteristics. Sometimes, at function level, it can be rather
considered a logic circuit. This later approach is not so indefensible
because the neuron membrane always works between two voltage levels,
immediately associated by a binary logic. These levels are changing at a
certain group of pulses on its exciting or inhibiting input synapses.
Being hard to describe exactly the neural calculus processes inside the
human brain we create some models able to mimic these processes. In this
paper we proposed some neuronal models able to implement logic gates.
The envelope signal shelters the pulses train that stimulate any neuron,
and this envelope signal ensure the digital function, as a main element
of originality.},
note = {47th International Semiconductor Conference (CAS), Sinaia, ROMANIA, OCT
09-11, 2024},
keywords = {circuit; neuron; logic; gate; pulses train},
pubstate = {published},
tppubtype = {inproceedings}
}
