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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Main Authors: Sergey V. Stasenko, Victor B. Kazantsev
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Mathematics
Subjects:
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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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