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

The paper describes the architecture of a Spiking Neural Network (SNN) for time waveform analyses using edge computing. The network model was based on the principles of preprocessing signals in the diencephalon and using tonic spiking and inhibition-induced spiking models typical for the thalamus ar...

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Detalles Bibliográficos
Autores principales: Szczęsny, Szymon, Huderek, Damian, Przyborowski, Łukasz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8125990/
https://www.ncbi.nlm.nih.gov/pubmed/34068538
http://dx.doi.org/10.3390/s21093276

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8125990/
https://www.ncbi.nlm.nih.gov/pubmed/34068538
http://dx.doi.org/10.3390/s21093276

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