Astrocytes mediate analogous memory in a multi-layer neuron–astrocyte network

Tsybina, Yuliya; Kastalskiy, Innokentiy; Krivonosov, Mikhail; Zaikin, Alexey; Kazantsev, Victor B.; Gorban, Alexander N.; Gordleeva, Susanna

doi:10.1007/s00521-022-06936-9

Cited by 30 publications

(19 citation statements)

References 74 publications

(93 reference statements)

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“…The here discussed neuromorphic solutions based on neuron-astrocyte circuits demonstrated efficient hardware implementations and potential for engineering applications. Further advances in understanding astrocytic functions through experimental work and computational modeling can inspire new tools and algorithms (see, e.g., computational modeling of astrocytic contribution to working memory in Gordleeva et al., 2021 ; Tsybina et al., 2022 ).…”

Section: Discussionmentioning

confidence: 99%

Analysis of Network Models with Neuron-Astrocyte Interactions

2023

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Neural networks, composed of many neurons and governed by complex interactions between them, are a widely accepted formalism for modeling and exploring global dynamics and emergent properties in brain systems. In the past decades, experimental evidence of computationally relevant neuron-astrocyte interactions, as well as the astrocytic modulation of global neural dynamics, have accumulated. These findings motivated advances in computational glioscience and inspired several models integrating mechanisms of neuron-astrocyte interactions into the standard neural network formalism. These models were developed to study, for example, synchronization, information transfer, synaptic plasticity, and hyperexcitability, as well as classification tasks and hardware implementations. We here focus on network models of at least two neurons interacting bidirectionally with at least two astrocytes that include explicitly modeled astrocytic calcium dynamics. In this study, we analyze the evolution of these models and the biophysical, biochemical, cellular, and network mechanisms used to construct them. Based on our analysis, we propose how to systematically describe and categorize interaction schemes between cells in neuron-astrocyte networks. We additionally study the models in view of the existing experimental data and present future perspectives. Our analysis is an important first step towards understanding astrocytic contribution to brain functions. However, more advances are needed to collect comprehensive data about astrocyte morphology and physiology in vivo and to better integrate them in data-driven computational models. Broadening the discussion about theoretical approaches and expanding the computational tools is necessary to better understand astrocytes’ roles in brain functions.

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Section: Discussionmentioning

confidence: 99%

Analysis of Network Models with Neuron-Astrocyte Interactions

2023

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“…The mechanisms for the formation of synchronous population activity can be explained using mathematical models [33,34]; the most interesting of them is taking into account astrocytic modulation of neuronal activity [35][36][37][38][39]. Thus, such models can shed light on information processing systems [40][41][42] and help to develop methods and approaches for epilepsy treatment [43] through targeted physiological effects on astrocytic dynamics [44].…”

Section: Introductionmentioning

confidence: 99%

Dynamics in the Reduced Mean-Field Model of Neuron–Glial Interaction

2023

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The goal of this study is to propose a new reduced phenomenological model that describes the mean-field dynamics arising from neuron–glial interaction, taking into account short-term synaptic plasticity and recurrent connections in the presence of astrocytic modulation of the synaptic connection. Using computer simulation and numerical methods of nonlinear dynamics, it is shown that the proposed model reproduces a rich set of patterns of population activity, including spiking, bursting and chaotic temporal patterns. These patterns can coexist for specific regions in the parameter space of the model. The main focus of this study was on bifurcation mechanisms that lead to the occurrence of the described types of mean-field dynamics. The proposed phenomenological model can be used to reproduce various patterns of population activity of neurons in a wide range of studies of dynamic memory and information processing. One of the possible applications of such research is the development of new effective methods for the treatment of neurological diseases associated with neuron–glial interactions.

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“…All these findings in molecular biology pave the way for a better understanding of the information processing in neuron-astrocyte circuits and the formation of cognitive functions. Very recently, mathematical and computational approaches have been used to investigate the contribution of astrocytes to the organisation of spatial and temporal synchronization in neural networks [20,21,29,30], formation of short-term memory [23][24][25][26][27][28] and generation of integrated information in neuronal ensembles [32][33][34][35], which takes a step further to the understanding of the intelligence arising from the nervous system. Nowadays, a widely accepted fact is that astrocytes play an active role in various types of memory and the memory improvement may be related to changes in the astrocyte density [36][37][38][39][40].…”

Section: Introductionmentioning

confidence: 99%

“…Lately, an in silico neuron-astrocyte network model has been employed to manifest that astrocytes indeed assist the formation of short-term memory and mediate analogous memory [24][25][26][27][28]. It provides a quantitative score to measure the recall accuracy as a result of the short-term memory.…”

Section: Introductionmentioning

confidence: 99%

Impact of Astrocytic Coverage of Synapses on the Short-term Memory of a Computational Neuron-Astrocyte Network

Li¹,

Tsybina²,

Gordleeva³

et al. 2022

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Working memory refers to the capability of the nervous system to selectively retain short-term memories in an active state. The long-standing viewpoint is that neurons play an indispensable role and working memory is encoded by synaptic plasticity. Furthermore, some recent studies have shown that calcium signaling assists the memory processes and the working memory might be affected by the astrocyte density. Over the last few decades, growing evidence has also revealed that astrocytes exhibit diverse coverage of synapses which are considered to participate in neuronal activities. However, very little effort has yet been made to attempt to shed light on the potential correlations between these observations. Hence, in this article we will leverage a computational neuron-astrocyte model to study the short-term memory performance subject to various astrocytic coverage and we will demonstrate that the short-term memory is susceptible to this factor. Our model may also provide plausible hypotheses for the various sizes of calcium events as they are reckoned to be correlated with the astrocytic coverage.

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Astrocytes mediate analogous memory in a multi-layer neuron–astrocyte network

Cited by 30 publications

References 74 publications

Analysis of Network Models with Neuron-Astrocyte Interactions

Analysis of Network Models with Neuron-Astrocyte Interactions

Dynamics in the Reduced Mean-Field Model of Neuron–Glial Interaction

Impact of Astrocytic Coverage of Synapses on the Short-term Memory of a Computational Neuron-Astrocyte Network

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