Dynamic Image Representation in a Spiking Neural Network Supplied by Astrocytes
The mathematical model of the spiking neural network (SNN) supplied by astrocytes is investigated. The astrocytes are a specific type of brain cells which are not electrically excitable but induce chemical modulations of neuronal firing. We analyze how the astrocytes influence images encoded in the...
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Format: | Article |
Language: | English |
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MDPI AG
2023-01-01
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Series: | Mathematics |
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Online Access: | https://www.mdpi.com/2227-7390/11/3/561 |
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author | Sergey V. Stasenko Victor B. Kazantsev |
author_facet | Sergey V. Stasenko Victor B. Kazantsev |
author_sort | Sergey V. Stasenko |
collection | DOAJ |
description | The mathematical model of the spiking neural network (SNN) supplied by astrocytes is investigated. The astrocytes are a specific type of brain cells which are not electrically excitable but induce chemical modulations of neuronal firing. We analyze how the astrocytes influence images encoded in the form of the dynamic spiking pattern of the SNN. Serving at a much slower time scale, the astrocytic network interacting with the spiking neurons can remarkably enhance the image representation quality. The spiking dynamics are affected by noise distorting the information image. We demonstrate that the activation of astrocytes can significantly suppress noise influence, improving the dynamic image representation by the SNN. |
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id | doaj.art-5acb25d24f4a45ed8d69920931300cc3 |
institution | Directory Open Access Journal |
issn | 2227-7390 |
language | English |
last_indexed | 2024-03-11T09:35:28Z |
publishDate | 2023-01-01 |
publisher | MDPI AG |
record_format | Article |
series | Mathematics |
spelling | doaj.art-5acb25d24f4a45ed8d69920931300cc32023-11-16T17:21:22ZengMDPI AGMathematics2227-73902023-01-0111356110.3390/math11030561Dynamic Image Representation in a Spiking Neural Network Supplied by AstrocytesSergey V. Stasenko0Victor B. Kazantsev1Moscow Institute of Physics and Technology, 117303 Moscow, RussiaMoscow Institute of Physics and Technology, 117303 Moscow, RussiaThe mathematical model of the spiking neural network (SNN) supplied by astrocytes is investigated. The astrocytes are a specific type of brain cells which are not electrically excitable but induce chemical modulations of neuronal firing. We analyze how the astrocytes influence images encoded in the form of the dynamic spiking pattern of the SNN. Serving at a much slower time scale, the astrocytic network interacting with the spiking neurons can remarkably enhance the image representation quality. The spiking dynamics are affected by noise distorting the information image. We demonstrate that the activation of astrocytes can significantly suppress noise influence, improving the dynamic image representation by the SNN.https://www.mdpi.com/2227-7390/11/3/561spiking neural networkneuron–glial interactionsastrocyte |
spellingShingle | Sergey V. Stasenko Victor B. Kazantsev Dynamic Image Representation in a Spiking Neural Network Supplied by Astrocytes Mathematics spiking neural network neuron–glial interactions astrocyte |
title | Dynamic Image Representation in a Spiking Neural Network Supplied by Astrocytes |
title_full | Dynamic Image Representation in a Spiking Neural Network Supplied by Astrocytes |
title_fullStr | Dynamic Image Representation in a Spiking Neural Network Supplied by Astrocytes |
title_full_unstemmed | Dynamic Image Representation in a Spiking Neural Network Supplied by Astrocytes |
title_short | Dynamic Image Representation in a Spiking Neural Network Supplied by Astrocytes |
title_sort | dynamic image representation in a spiking neural network supplied by astrocytes |
topic | spiking neural network neuron–glial interactions astrocyte |
url | https://www.mdpi.com/2227-7390/11/3/561 |
work_keys_str_mv | AT sergeyvstasenko dynamicimagerepresentationinaspikingneuralnetworksuppliedbyastrocytes AT victorbkazantsev dynamicimagerepresentationinaspikingneuralnetworksuppliedbyastrocytes |