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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| 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 |