A Biological Fading Channel Model for Neural Communication Networks: a Preliminary Sketch

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F24%3A10256233" target="_blank" >RIV/61989100:27240/24:10256233 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/61989100:27740/24:10256233

Výsledek na webu

<a href="https://ieeexplore.ieee.org/document/10767090" target="_blank" >https://ieeexplore.ieee.org/document/10767090</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

A Biological Fading Channel Model for Neural Communication Networks: a Preliminary Sketch

Popis výsledku v původním jazyce

In the last decades, several works aimed to study the behaviour of the biological brain with different granularity (from neurons to lobes). Of course, a brain is a very complex structure, and diseases can alter its connections structure between different internal regions. In this paper we are interested to model the neuron-2-neuron and/or the agglomerate-2-agglomerate physical communications, by inheriting the typical paradigm of wireless telecommunication systems, whose channels are subject to severe time variations and degradation, i.e. fading. So, the sum of the neural signal received by the synapses of a receiving neuron, or agglomerate of neurons, is strongly time variant and the process can be considered to be stochastic, in function of the overall network topology. To the best of our knowledge, it is the first time the fading concept is introduced in brain modeling.

Název v anglickém jazyce

A Biological Fading Channel Model for Neural Communication Networks: a Preliminary Sketch

Popis výsledku anglicky

In the last decades, several works aimed to study the behaviour of the biological brain with different granularity (from neurons to lobes). Of course, a brain is a very complex structure, and diseases can alter its connections structure between different internal regions. In this paper we are interested to model the neuron-2-neuron and/or the agglomerate-2-agglomerate physical communications, by inheriting the typical paradigm of wireless telecommunication systems, whose channels are subject to severe time variations and degradation, i.e. fading. So, the sum of the neural signal received by the synapses of a receiving neuron, or agglomerate of neurons, is strongly time variant and the process can be considered to be stochastic, in function of the overall network topology. To the best of our knowledge, it is the first time the fading concept is introduced in brain modeling.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

20203 - Telecommunications

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2024

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the 2024 15th IFIP Wireless and Mobile Networking Conference, WMNC 2024

ISBN

978-3-903176-68-3

ISSN

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e-ISSN

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Počet stran výsledku

5

Strana od-do

75-79

Název nakladatele

IEEE

Místo vydání

Piscataway

Místo konání akce

Benátky

Datum konání akce

11. 11. 2024

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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