Astrocyte control bursting mode of spiking neuron network with memristor-implemented plasticity

Sergey V. Stasenko, Alexey N. Mikhaylov, Alexander A. Fedotov, Vladimir A. Smirnov and Victor B. Kazantsev

Chaos, Solitons & Fractals, 2024, vol. 181, issue C

Abstract: A mathematical model of a spiking neuron network accompanied by astrocytes is considered. The network is composed of excitatory and inhibitory neurons with synaptic connections supplied by a memristor-based model of plasticity. Another mechanism for changing the synaptic connections involves astrocytic regulations using the concept of tripartite synapses. In the absence of memristor-based plasticity, the connections between these neurons drive the network dynamics into a burst mode, as observed in many experimental neurobiological studies when investigating living networks in neuronal cultures. The memristive plasticity implementing synaptic plasticity in inhibitory synapses results in a shift in network dynamics toward an asynchronous mode. Next,it is found that accounting for astrocytic regulation in glutamatergic excitatory synapses enable the restoration of ‘normal’ burst dynamics. The conditions and parameters of such astrocytic regulation’s impact on burst dynamics established.

Keywords: Spiking neuron network; Memristor-based plasticity; Neuron; Astrocyte; Synchronization; Tripartite synapse (search for similar items in EconPapers)
Date: 2024
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:181:y:2024:i:c:s0960077924001991

DOI: 10.1016/j.chaos.2024.114648

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