Discrete Modeling of Neuronal Interactions in Multi-Transmitter Networks

Bazenkov, Nikolay; Vorontsov, Dmitry D.; Dyakonova, Varvara; Zhilyakova, L. Yu.; Захаров, И. С.; Kuznetsov, O. P.; Kulivets, S. G.; Sakharov, D. A.

doi:10.3103/s0147688218050015

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Cited by 5 publications

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“…The model we proposed is discrete, but it takes into account much more parameters than the formal McCulloch-Pitts neuron model. Approaches to modeling heterochemical interactions are described in [12,13].…”

Section: Introductionmentioning

confidence: 99%

New Approaches to Discrete Modeling of Natural Neural Networks

Kuznetsov

Zhilyakova

Bazenkov

et al. 2018

Advances in Intelligent Systems and Computing

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A discrete model of multitransmitter interactions between neurons in a common extracellular space (ECS) is proposed. Neurons in the model are heterogeneous in three different senses. They differ in (i) the type of endogenous change in the membrane potential, (ii) the type of secreted neurotransmitter, and (iii) the set of receptors, wherein each receptor is sensitive to a particular neurotransmitter. The model is characterized by the broadcast nature transmission of the signals: the neurotransmitter appeared in the ECS is treated as an input signal for all neurons with receptors sensitive to it. It is shown that the extrasynaptic interaction of neurons combined with multitransmitter environment enables to reproduce the rhythms generated by simple natural neural networks.

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Section: Introductionmentioning

confidence: 99%