Integrated Information in the Spiking–Bursting Stochastic Model

Kanakov, Oleg; Gordleeva, Susanna; Zaikin, Alexey

doi:10.3390/e22121334

Cited by 14 publications

(6 citation statements)

References 28 publications

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“…In addition, scholars proposed several digital implementations of astrocytic dynamics [22] and neuron-astrocyte interaction [23], [24]. In our previous works, we investigated how the astrocyte-induced dynamic coordination in the neuronal ensembles [25], [26] induces the generation of integrated information sets [27], [28], [29]. Moreover, we showed that a biologically inspired SNAN can implement the multiitem short-term memory [30], [31].…”

Section: Related Workmentioning

confidence: 99%

Situation-Based Neuromorphic Memory in Spiking Neuron-Astrocyte Network

Gordleeva,

Tsybina,

Krivonosov

et al. 2023

IEEE Trans. Neural Netw. Learning Syst.

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Mammalian brains operate in very special surroundings: to survive they have to react quickly and effectively to the pool of stimuli patterns previously recognized as danger. Many learning tasks often encountered by living organisms involve a specific set-up centered around a relatively small set of patterns presented in a particular environment. For example, at a party, people recognize friends immediately, without deep analysis, just by seeing a fragment of their clothes. This setup with reduced "ontology" is referred to as a "situation." Situations are usually local in space and time. In this work, we propose that neuron-astrocyte networks provide a network topology that is effectively adapted to accommodate situationbased memory. In order to illustrate this, we numerically simulate and analyze a well-established model of a neuronastrocyte network, which is subjected to stimuli conforming to the situation-driven environment. Three pools of stimuli patterns are considered: external patterns, patterns from the situation associative pool regularly presented to the network and learned by the network, and patterns already learned and remembered by astrocytes. Patterns from the external world are added to and removed from the associative pool. Then, we show that astrocytes Manuscript

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Section: Related Workmentioning

confidence: 99%

Situation-Based Neuromorphic Memory in Spiking Neuron-Astrocyte Network

Gordleeva,

Tsybina,

Krivonosov

et al. 2023

IEEE Trans. Neural Netw. Learning Syst.

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“…The list of functions handled by the astrocytic cells keeps getting updated and revised quite frequently [15][16][17][18][19][20]. Several studies discuss the role of astrocytes in the perception of sensory stimuli [21][22][23][24], spatio-temporal coordination of neural network signaling [25][26][27][28][29][30], information processing, and cognitive functions [31][32][33]. A growing number of arguments are accumulating in favor of the theory of continuity and joint coordinated activity of neuron-astrocyte functional networks [34][35][36].…”

Section: Introductionmentioning

confidence: 99%

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

Tsybina

Kastalskiy

Krivonosov

et al. 2022

Neural Comput & Applic

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Modeling the neuronal processes underlying short-term working memory remains the focus of many theoretical studies in neuroscience. In this paper, we propose a mathematical model of a spiking neural network (SNN) which simulates the way a fragment of information is maintained as a robust activity pattern for several seconds and the way it completely disappears if no other stimuli are fed to the system. Such short-term memory traces are preserved due to the activation of astrocytes accompanying the SNN. The astrocytes exhibit calcium transients at a time scale of seconds. These transients further modulate the efficiency of synaptic transmission and, hence, the firing rate of neighboring neurons at diverse timescales through gliotransmitter release. We demonstrate how such transients continuously encode frequencies of neuronal discharges and provide robust short-term storage of analogous information. This kind of short-term memory can store relevant information for seconds and then completely forget it to avoid overlapping with forthcoming patterns. The SNN is inter-connected with the astrocytic layer by local inter-cellular diffusive connections. The astrocytes are activated only when the neighboring neurons fire synchronously, e.g., when an information pattern is loaded. For illustration, we took grayscale photographs of people’s faces where the shades of gray correspond to the level of applied current which stimulates the neurons. The astrocyte feedback modulates (facilitates) synaptic transmission by varying the frequency of neuronal firing. We show how arbitrary patterns can be loaded, then stored for a certain interval of time, and retrieved if the appropriate clue pattern is applied to the input.

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“…All these findings in molecular biology pave the way for a better understanding of the information processing in neuronastrocyte 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 [29][30][31][32], formation of short-term memory [33][34][35][36][37][38] and generation of integrated information in neuronal ensembles [39][40][41][42], 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 the change in the astrocyte density [43][44][45][46][47].…”

Section: Introductionmentioning

confidence: 99%

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

Tsybina

Gordleeva

et al. 2022

Mathematics

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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 leverage a computational neuron–astrocyte model to study the short-term memory performance subject to various astrocytic coverage and we 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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Integrated Information in the Spiking–Bursting Stochastic Model

Cited by 14 publications

References 28 publications

Situation-Based Neuromorphic Memory in Spiking Neuron-Astrocyte Network

Situation-Based Neuromorphic Memory in Spiking Neuron-Astrocyte Network

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

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

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