Effects of astrocyte on weak signal detection performance of Hodgkin–Huxley neuron

Erkan, Yasemin; Saraç, Zehra; Yılmaz, Ergin

doi:10.1007/s11071-019-04764-6

Cited by 22 publications

(7 citation statements)

References 58 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Δw is the fixed frequency difference between the driving force and weak signal. 28 Theoretically, when Δw<0.03w, the intermittent chaos is observed. 29…”

Section: Quantitative Determination Of Chaotic Statementioning

confidence: 99%

Model modification and feature study of Duffing oscillator

Chen

Cao

De-zhi

2021

Journal of Low Frequency Noise, Vibration and Active Control

View full text Add to dashboard Cite

With the development of chaos theory, Duffing oscillator has been extensively studied in many fields, especially in electronic signal processing. As a nonlinear oscillator, Duffing oscillator is more complicated in terms of equations or circuit analysis. In order to facilitate the analysis of its characteristics, the study analyzes the circuit from the perspective of vibrational science and energetics. The classic Holmes-Duffing model is first modified to make it more popular and concise, and then the model feasibility is confirmed by a series of rigorous derivations. According to experiments, the influence of driving force amplitude, frequency, and initial value on the system is finally explained by the basic theories of physics. Through this work, people can understand the mechanisms and characteristics of Duffing oscillator more intuitively and comprehensively. It provides a new idea for the study of Duffing oscillators and more.

show abstract

“…Δw is the fixed frequency difference between the driving force and weak signal. 28 Theoretically, when Δw<0.03w, the intermittent chaos is observed. 29…”

Section: Quantitative Determination Of Chaotic Statementioning

confidence: 99%

Model modification and feature study of Duffing oscillator

Chen

Cao

De-zhi

2021

Journal of Low Frequency Noise, Vibration and Active Control

View full text Add to dashboard Cite

show abstract

“…Some collective activities, such as resonance phenomena, have been studied for FFNs (Men et al, 2012;Qin et al, 2011). Moreover, strocytes facilitate weak signal detection performance of neuronal systems (Erkan et al, 2019). Multilayer neural networks can also be applied to imitate signal propagation and can be studied with experiments, and the dependence of stable signal propagation on compound neurons has been investigated (Diesmann et al, 1999;Moldakarimov et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Spike propagation by synchronisation and vibrational resonance in a feedforwards Izhikevich neural network

Wang

Chen

et al. 2023

Preprint

View full text Add to dashboard Cite

Multilayer feed forward neuron networks (FFNs) are the basis of various machine learning approaches, in which the propagation of neural firing rates with respect to synchronisation and vibrational resonance (VR) under white Gaussian noise and high-frequency stimulation (HFS) is important. In this study, the influences of HFS and noise on the propagation of the synchronous firing rate and VR are investigated in different kinds of Izhikevich FFNs. For the ten-layer excitatory Izhikevich neuron network, it is shown that synchronous firing rates appear gradually, and diverse noise intensities, synaptic weights and time constants affect the propagation of synchronous discharge rates. For a four-layer excitatory FFN, it is observed that the systemic output rates remain smaller than zero and carry no information on the weak signal when HFS is small. The VR phenomenon occurs when the input of the weak low frequency signal (LFS) and signal output maintain good phase synchronisation, and the LFS is amplified by increasing the amplitude of HFS. In the excitatory-inhibition multilayer FFN, propagation by synchronous firing rates is not good, and few inhibitory neurons remain excited. In the systemic output, the synchronisation phenomenon can be observed but is not as good as that in the excitatory FFN.

show abstract

“…With the increase in the intensity of spike transmission at synapses, the intracellular Ca 2+ concentration exhibits oscillations, which constitutes the basis of the well-known Ca 2+ wave propagation 44 , and triggers the release of several gliotransmitters (i.e., glutamate and adenosine) from astrocytes to the synaptic cleft. Pre-and postsynaptic neurons consider these gliotransmitter molecules as a feedback signal which regulates their internal dynamics [45][46][47] .…”

Section: Introductionmentioning

confidence: 99%

Controlling the spontaneous firing behavior of a neuron with astrocyte

Palabas,

Longtin,

Ghosh

et al. 2022

Preprint

View full text Add to dashboard Cite

Mounting evidence in recent years suggests that astrocytes, a sub-type of glial cells, not only serve metabolic and structural support for neurons and synapses but also play critical roles in regulation of proper functioning of the nervous system. In this work, we investigate the effect of astrocyte on the spontaneous firing activity of a neuron through a combined model which includes a neuron-astrocyte pair. First, we show that an astrocyte may provide a kind of multistability in neuron dynamics by inducing different firing modes such as random and bursty spiking. Then, we identify the underlying mechanism of this behavior and search for the astrocytic factors that may have regulatory roles in different firing regimes. More specifically, we explore how an astrocyte can participate in occurrence and control of spontaneous irregular spiking activity of a neuron in random spiking mode. Additionally, we systematically investigate the bursty firing regime dynamics of the neuron under the variation of biophysical facts related to the intracellular environment of the astrocyte. It is found that an astrocyte coupled to a neuron can provide a control mechanism for both spontaneous firing irregularity and burst firing statistics, i.e., burst regularity and size.Astrocytes are the most numerous glial cells in the mature brain, and often surround neuronal somata and dendrites and provide fine enmeshment of synapses. Unlike neurons, these star-shaped cells do not elicit action potentials, yet they contribute to information processing via feedback to the cells by listening to the synaptic activity. We here investigate the their role on shaping the spontaneous firing behavior of a neuron. By using a neuron-astrocyte pair model, we identify distinct astrocyte-controlled neural activity patterns and explore their individual statistical characteristics under the variation of different biologicallyplausible intrinsic astrocytic factors.

show abstract

Effects of astrocyte on weak signal detection performance of Hodgkin–Huxley neuron

Cited by 22 publications

References 58 publications

Model modification and feature study of Duffing oscillator

Model modification and feature study of Duffing oscillator

Spike propagation by synchronisation and vibrational resonance in a feedforwards Izhikevich neural network

Controlling the spontaneous firing behavior of a neuron with astrocyte

Contact Info

Product

Resources

About