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

Result code in 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>
Alternative codes found
RIV/61989100:27740/24:10256233
Result on the web
<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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Result language
angličtina
Original language name
A Biological Fading Channel Model for Neural Communication Networks: a Preliminary Sketch
Original language description
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.
Czech name
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Czech description
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Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
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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Number of pages
5
Pages from-to
75-79
Publisher name
IEEE
Place of publication
Piscataway
Event location
Benátky
Event date
Nov 11, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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