Neuron and astrocyte computational models for describing the brain complexity

This work presents an overview of the most representative models employed for describing the behavior of biological neuronal networks. In particular, the pioneering work of A. L. Hodgkin and A. F. Huxley on the neuron physiology modeling and the developments of E. M. Izhikevich for the description o...

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Main Authors: Rosa Musotto, Giovanni Pioggia, Ulderico Wanderlingh
Format: Article
Language:English
Published: Accademia Peloritana dei Pericolanti 2022-08-01
Series:Atti della Accademia Peloritana dei Pericolanti : Classe di Scienze Fisiche, Matematiche e Naturali
Online Access: http://dx.doi.org/10.1478/AAPP.1002LC1
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author Rosa Musotto
Giovanni Pioggia
Ulderico Wanderlingh
author_facet Rosa Musotto
Giovanni Pioggia
Ulderico Wanderlingh
author_sort Rosa Musotto
collection DOAJ
description This work presents an overview of the most representative models employed for describing the behavior of biological neuronal networks. In particular, the pioneering work of A. L. Hodgkin and A. F. Huxley on the neuron physiology modeling and the developments of E. M. Izhikevich for the description of neuronal networks that are affordable from a computational point of view, will be presented. Moreover, the role played by astrocyte cells will be dealt. Astrocytes not only play a supporting role in correct neuronal function, but also show communication activities, through Ca2+ waves, between themselves and with neurons. Furthermore, this kind of signalling is essential for the proper functioning of the human brain neuronal activity, as, for example, in memory and learning. An astrocytes malfunctioning is, in fact, implicated in diseases such as Alzheimer's, Parkinson's, stroke and epilepsy.uncertainty in these constraints was solved by applying the chance constraint method.
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spelling doaj.art-d02ca84a69a94084ba6aecab6118ccdb2022-12-22T03:07:17ZengAccademia Peloritana dei PericolantiAtti della Accademia Peloritana dei Pericolanti : Classe di Scienze Fisiche, Matematiche e Naturali0365-03591825-12422022-08-011002LC110.1478/AAPP.1002LC1AAPP.1002LC1Neuron and astrocyte computational models for describing the brain complexityRosa MusottoGiovanni PioggiaUlderico WanderlinghThis work presents an overview of the most representative models employed for describing the behavior of biological neuronal networks. In particular, the pioneering work of A. L. Hodgkin and A. F. Huxley on the neuron physiology modeling and the developments of E. M. Izhikevich for the description of neuronal networks that are affordable from a computational point of view, will be presented. Moreover, the role played by astrocyte cells will be dealt. Astrocytes not only play a supporting role in correct neuronal function, but also show communication activities, through Ca2+ waves, between themselves and with neurons. Furthermore, this kind of signalling is essential for the proper functioning of the human brain neuronal activity, as, for example, in memory and learning. An astrocytes malfunctioning is, in fact, implicated in diseases such as Alzheimer's, Parkinson's, stroke and epilepsy.uncertainty in these constraints was solved by applying the chance constraint method. http://dx.doi.org/10.1478/AAPP.1002LC1
spellingShingle Rosa Musotto
Giovanni Pioggia
Ulderico Wanderlingh
Neuron and astrocyte computational models for describing the brain complexity
Atti della Accademia Peloritana dei Pericolanti : Classe di Scienze Fisiche, Matematiche e Naturali
title Neuron and astrocyte computational models for describing the brain complexity
title_full Neuron and astrocyte computational models for describing the brain complexity
title_fullStr Neuron and astrocyte computational models for describing the brain complexity
title_full_unstemmed Neuron and astrocyte computational models for describing the brain complexity
title_short Neuron and astrocyte computational models for describing the brain complexity
title_sort neuron and astrocyte computational models for describing the brain complexity
url http://dx.doi.org/10.1478/AAPP.1002LC1
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AT giovannipioggia neuronandastrocytecomputationalmodelsfordescribingthebraincomplexity
AT uldericowanderlingh neuronandastrocytecomputationalmodelsfordescribingthebraincomplexity