Опубликована: Сен. 18, 2023
This research paper presents a pioneering model that focuses on the regulation of spike-timing-dependent plasticity via astrocytes, crucial aspect related to learning and memory. Astrocytes modulate synaptic transmission depression, inducing distinct changes in weight evolution compared classical STDP. underscores importance astrocytic shaping dynamics.
Язык: Английский
Scientific Reports, Год журнала: 2023, Номер 13(1)
Опубликована: Апрель 19, 2023
Abstract Coherent activations of brain neuron networks underlie many physiological functions associated with various behavioral states. These synchronous fluctuations in the electrical activity are also referred to as rhythms. At cellular level, rhythmicity can be induced by mechanisms intrinsic oscillations neurons or network circulation excitation between synaptically coupled neurons. One specific mechanism concerns astrocytes that accompany and coherently modulate synaptic contacts neighboring neurons, synchronizing their activity. Recent studies have shown coronavirus infection (Covid-19), which enters central nervous system infects astrocytes, cause metabolic disorders. Specifically, Covid-19 depress synthesis astrocytic glutamate gamma-aminobutyric acid. It is known post-Covid state, patients may suffer from symptoms anxiety impaired cognitive functions. We propose a mathematical model spiking accompanied capable generating quasi-synchronous rhythmic bursting discharges. The predicts if release depressed, normal burst will dramatically. Interestingly, some cases, failure coherence intermittent, intervals rhythmicity, synchronization disappear.
Язык: Английский
Процитировано
22
Mathematics, Год журнала: 2023, Номер 11(9), С. 2143 - 2143
Опубликована: Май 3, 2023
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 presence astrocytic modulation connection. Using computer simulation numerical methods nonlinear dynamics, it shown proposed reproduces rich set patterns population activity, including spiking, bursting chaotic temporal patterns. These can coexist for specific regions parameter space model. main focus was on bifurcation mechanisms lead occurrence described types dynamics. be used reproduce various activity neurons wide range studies dynamic memory information processing. One possible applications such research development effective treatment neurological diseases associated with interactions.
Язык: Английский
Процитировано
16
Entropy, Год журнала: 2023, Номер 25(5), С. 745 - 745
Опубликована: Май 1, 2023
We investigated a mathematical model composed of spiking neural network (SNN) interacting with astrocytes. analysed how information content in the form two-dimensional images can be represented by an SNN spatiotemporal pattern. The includes excitatory and inhibitory neurons some proportion, sustaining excitation–inhibition balance autonomous firing. astrocytes accompanying each synapse provide slow modulation synaptic transmission strength. An image was uploaded to stimulation pulses distributed time reproducing shape image. found that astrocytic prevented stimulation-induced hyperexcitation non-periodic bursting activity. Such homeostatic regulation neuronal activity makes it possible restore supplied during lost raster diagram due At biological point, our shows act as additional adaptive mechanism for regulating activity, which is crucial sensory cortical representations.
Язык: Английский
Процитировано
11
Cognitive Neurodynamics, Год журнала: 2025, Номер 19(1)
Опубликована: Янв. 9, 2025
Язык: Английский
Процитировано
0
Chaos An Interdisciplinary Journal of Nonlinear Science, Год журнала: 2024, Номер 34(6)
Опубликована: Июнь 1, 2024
This paper investigates various bifurcation scenarios of the appearance bursting activity in phenomenological mean-field model neuron–glial interactions. In particular, we show that homoclinic spiral attractors this system can be source several types with different properties.
Язык: Английский
Процитировано
3
Mathematics, Год журнала: 2023, Номер 11(9), С. 2109 - 2109
Опубликована: Апрель 28, 2023
We propose a mathematical model of spiking neural network (SNN) that interacts with an active extracellular field formed by the brain matrix (ECM). The SNN exhibits irregular dynamics induced constant noise drive. Following neurobiological facts, neuronal firing leads to production ECM occupies space. In turn, components can modulate signaling and synaptic transmission, for example, through effect so-called scaling. By simulating model, we discovered ECM-mediated regulation activity promotes spike grouping into quasi-synchronous population discharges called bursts. investigated how parameters, particularly strengths influence on may facilitate bursting increase degree synchrony.
Язык: Английский
Процитировано
7
The European Physical Journal Special Topics, Год журнала: 2024, Номер unknown
Опубликована: Сен. 23, 2024
Язык: Английский
Процитировано
2
Biomimetics, Год журнала: 2023, Номер 8(5), С. 422 - 422
Опубликована: Сен. 12, 2023
In this study, we introduce an innovative hybrid artificial neural network model incorporating astrocyte-driven short-term memory. The combines a convolutional with dynamic models of synaptic plasticity and astrocytic modulation transmission. model's performance was evaluated using simulated data from visual change detection experiments conducted on mice. Comparisons were made between the proposed model, recurrent simulating memory based sustained activity, feedforward depression (STPNet) trained to achieve same level as results revealed that transmission enhanced performance.
Язык: Английский
Процитировано
5
Опубликована: Сен. 18, 2023
This study presents a mathematical model that combines the average activity of excitatory neurons, neuron-astrocyte interactions, and virus concentration dynamics to examine effects infection on bursting generation. Our results demonstrate astrocyte hinders gliotransmitter release, potentially leading termination rhythmogenesis. Disruptions in brain rhythmogenesis can result cognitive function disorders, including memory impairment. The proposed serves as crucial theoretical tool for investigating underlying mechanisms disruption.
Язык: Английский
Процитировано
1
Izvestiya VUZ Applied Nonlinear Dynamics, Год журнала: 2024, Номер unknown
Опубликована: Янв. 1, 2024
The purpose of this study is to the influence synaptic plasticity on excitatory and inhibitory synapses formation feature space input image layers neurons in a spiking neural network. Methods. To simulate dynamics neuron, computationally efficient model “Leaky integrate-and-fire” was used. conductance-based synapse used as contact model. Synaptic modeled by classical time dependent plasticity. A network composed them generates space, which divided into classes machine learning algorithm. Results. built with adaptation contacts due Various configurations were considered for problem forming neurons, their comparison also carried out. Conclusion. It has been shown that impairs an classification task. constraints are obtained best configuration selected.
Язык: Английский
Процитировано
0