Abstract:
Existence of spontaneous population bursts is a widely studied phenomenon observed in neuronal cultures in vitro. Recent models of neuronal cultures network activity consist of a number of burst generating mechanisms such as synaptic noise and presence of pacemaker neurons in the network. In the previous simulations of bursting in neuronal cultures synaptic weights change in accordance with the rule of short-term plasticity whereas the long-term values of them, and hence the network structure, remain unchanged. In this paper we reproduce neuronal network models with static synapses, and then investigate spontaneous activity changes in neuronal networks with long-term plasticity defined by STDP rule. Our results demonstrate that introduction of long-term plasticity in the model leads to discrepancy with the experimental data.
Citation:
A. A. Degterev, M. S. Burtsev, “Simulation of spontaneous activity in neuronal cultures with long-term plasticity”, Mat. Biolog. Bioinform., 10:1 (2015), 234–244
\Bibitem{DegBur15}
\by A.~A.~Degterev, M.~S.~Burtsev
\paper Simulation of spontaneous activity in neuronal cultures with long-term plasticity
\jour Mat. Biolog. Bioinform.
\yr 2015
\vol 10
\issue 1
\pages 234--244
\mathnet{http://mi.mathnet.ru/mbb223}
\crossref{https://doi.org/10.17537/2015.10.234}
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This publication is cited in the following 4 articles:
Lobov S.A., Zharinov A.I., Makarov V.A., Kazantsev V.B., “Spatial Memory in a Spiking Neural Network With Robot Embodiment”, Sensors, 21:8 (2021), 2678
Bazhanova M.V., Krylova N.P., Kazantsev V.B., Khramov A.E., Lobov S.A., “Synchronization in a Network of Spiking Neural Oscillators With Plastic Connectivity”, Radiophys. Quantum Electron., 63:4 (2020), 298–309
S. A. Lobov, “Obobschennaya pamyat spaikovoi neironnoi seti s STDP plastichnostyu”, Matem. biologiya i bioinform., 14:2 (2019), 649–664
O. Yu. Nikitin, O. A. Lukyanova, A. S. Kunin, “Analiz svoistv plastichnosti i adaptivnosti v seti neironov s gomeostazom”, Matem. biologiya i bioinform., 11:2 (2016), 351–366