Spiking Neural Network with Linear Computational Complexity for Waveform Analysis in Amperometry

Szymon Szczęsny; Damian Huderek; Łukasz Przyborowski

doi:10.3390/s21093276

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Title

Spiking Neural Network with Linear Computational Complexity for Waveform Analysis in Amperometry

Authors

Szymon Szczęsny (WIiT) ^{[ 1 ][ 2.3 ][ P ]}
Damian Huderek (WIiT) ^{[ 1 ][ 2.3 ][ P ]}
Łukasz Przyborowski (WIiT) ^{[ 1 ][ 2.3 ][ SzD ]}

^{[ 1 ]} Instytut Informatyki, Wydział Informatyki i Telekomunikacji, Politechnika Poznańska | ^{[ P ]} employee | ^{[ SzD ]} doctoral school student

Scientific discipline (Law 2.0)

[2.3] Information and communication technology

Year of publication

2021

Published in

Sensors

Journal year: 2021 | Journal volume: vol. 21 | Journal number: no. 9

Article type

scientific article

Publication language

english

Keywords

EN

amperometry
edge computing
spiking neural networks
exocytosis
vesicle fusion

Date of online publication

10.05.2021

Pages (from - to)

3276-1 - 3276-16

DOI

10.3390/s21093276

URL

https://www.mdpi.com/1424-8220/21/9/3276

Comments

Article Number: 3276

License type

CC BY (attribution alone)

Open Access Mode

open journal

Open Access Text Version

final published version

Date of Open Access to the publication

at the time of publication

Ministry points / journal

100

Ministry points / journal in years 2017-2021

100

Impact Factor

3,847

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