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Artificial Intelligence and Decision Making
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Artificial Intelligence and Decision Making, 2017, Issue 2, Pages 55–73 (Mi iipr245)  
This article is cited in 4 scientific papers (total in 4 papers)

Cognitive research and modeling

Discrete modeling of neuronal interactions in multi-neurotransmitter networks

N. Bazenkova, D. D. Vorontsovb, V. E. D'yakonovab, L. Yu. Zhilyakovaa, I. S. Zakharovb, O. P. Kuznetsova, S. G. Kulivetsa, D. A. Sakharovb

a V. A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences, Moscow
b Koltzov Institute of Developmental Biology, Russian Academy of Sciences, Moscow
Full-text PDF (648 kB) Citations (4)
Abstract: The paper presents a discrete model of nonsynaptic interactions between neurons of different transmitter phenotypes. The absence of synapses is aimed to demonstrate the importance of heterochemical interactions in the nervous system. In this model, all communications within the ensemble are broadcast: a neuron releases its specific neurotransmitter, and the signal can be received by every other neuron if the latter is sensitive to this neurotransmitter. The model simulates the generation by natural neuronal ensembles of a temporal pattern of output activity, and is aimed to explain the ability to rapidly reconfigure the pattern. Neurons are described as finite-state machines. We discuss and justify the choice of the discrete mathematical framework for modeling the heterochemical interactions in neuronal networks.
Keywords: discrete dynamics, heterochemical neuronal system, neurotransmitters, neuromodulation.
Funding agency Grant number
Russian Foundation for Basic Research 15-07-02488а
17-04-00887а
17-07-00541а
English version:
Scientific and Technical Information Processing, 2018, Volume 45, Issue 5, Pages 283–296
DOI: https://doi.org/10.3103/S0147688218050015
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: N. Bazenkov, D. D. Vorontsov, V. E. D'yakonova, L. Yu. Zhilyakova, I. S. Zakharov, O. P. Kuznetsov, S. G. Kulivets, D. A. Sakharov, “Discrete modeling of neuronal interactions in multi-neurotransmitter networks”, Artificial Intelligence and Decision Making, 2017, no. 2, 55–73; Scientific and Technical Information Processing, 45:5 (2018), 283–296
Citation in format AMSBIB
\Bibitem{BazVorDya17}
\by N.~Bazenkov, D.~D.~Vorontsov, V.~E.~D'yakonova, L.~Yu.~Zhilyakova, I.~S.~Zakharov, O.~P.~Kuznetsov, S.~G.~Kulivets, D.~A.~Sakharov
\paper Discrete modeling of neuronal interactions in multi-neurotransmitter networks
\jour Artificial Intelligence and Decision Making
\yr 2017
\issue 2
\pages 55--73
\mathnet{http://mi.mathnet.ru/iipr245}
\elib{https://elibrary.ru/item.asp?id=29430101}
\transl
\jour Scientific and Technical Information Processing
\yr 2018
\vol 45
\issue 5
\pages 283--296
\crossref{https://doi.org/10.3103/S0147688218050015}
Linking options:
  • https://www.mathnet.ru/eng/iipr245
  • https://www.mathnet.ru/eng/iipr/y2017/i2/p55
    • This publication is cited in the following 4 articles:
    1. P. Sh. Geidarov, “Experiment for creating a neural network with weights determined by the potential of a simulated electrostatic field”, 49, no. 6, 2022, 519–531  mathnet  mathnet  crossref  crossref
    2. P. Sh. Geidarov, “On the possibility of determining values of the neural network weights by an electrostatic field”, 49, no. 6, 2022, 506–518  mathnet  mathnet  crossref  crossref
    3. Liudmila Yu. Zhilyakova, Lecture Notes in Computer Science, 12412, Artificial Intelligence, 2020, 100  crossref
    4. Liudmila Yu. Zhilyakova, Communications in Computer and Information Science, 1093, Artificial Intelligence, 2019, 3  crossref
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    		Artificial Intelligence and Decision Making
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    Full-text PDF :99
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