Energy-guided synapse coupling between neurons under noise

Hou, Bo; Ma, Jun; Yang, Feifei

doi:10.1007/s10867-022-09622-y

Cited by 14 publications

(4 citation statements)

References 67 publications

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“…Where, A is the noise intensity; η(t) is the Gaussian white noise that satisfies the following properties: <η(t) > = 0 and h h d [24]; The latter means noises at different instants are not correlated. The additive noise into the neuronal network comes from the fluctuation of an external electric field [18].…”

Section: Modelsmentioning

confidence: 99%

“…The study of the collective behaviors in a multiple functional network with hybrid synapses is made by Zhao et al [17]; They showed that continuous energy injection inside the neuronal network helps to control field coupling. In order to consider the effect of random event inside neuronal circuit, Bo Hou et al [18] studied the effect of noise on the energy-guided synapse coupling between neuron where they exhibited that energy diversity becomes random under noise. Energy balance of star network composed of photosensitive neurons is explored by Feifei Yang et al [19]; They studied the energy of 4 neurons coupled through electric synapses by using FitzHugh-Nagumo neuronal model.…”

Section: Introductionmentioning

confidence: 99%

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Influence of external current and noise on modes of electrical activities and energy of Hindmarsh-Rose model coupled by memristive synapses

Nando Tezoh,

Adamou,

Ekobena Fouda

2023

Phys. Scr.

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The progress of medicine and biological have allowed the discovery of pathological diseases such Parkinson, Alzheimer,... To help patients suffering from those diseases, we can use a therapy technique which consists to deliver within a precise region of the central nervous system an electrical signal in order to regulate unnatural impulses. That therapeutic method, since it requires surgical procedure is only required when medication stops to have effect on the patients. In this work, we study the effects of periodic external current and noise on the modes of electrical activities; Furthermore we estimate the energy of a 2D Hindmarsh-Rose coupled by memristive synapses. Results showed that the neuronal network exhibits bursting regime in the presence of periodic external force and noise. Noise made those bursts irregular over time evolution. Concerning the energy analysis, we observed an increase of the energy when the amplitude of the external force increases. Lastly, we showed that noise made the energy of the neuronal network to oscillate with different amplitudes. Large amplitude is observed in the presence of large values of the amplitude of the noise.

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Section: Modelsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Influence of external current and noise on modes of electrical activities and energy of Hindmarsh-Rose model coupled by memristive synapses

Nando Tezoh,

Adamou,

Ekobena Fouda

2023

Phys. Scr.

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“…By connecting memristors in any neuronal circuit, you can improve its controllability in response to external stimuli. [47,48] Noise, as an external input, can also pump energy into the medium, influencing neuronal synchronization [49,50]. Although coupling channels, information latency, external stimulation, memristors, and noise all have effects on information transmission and synchronization stability across neurons, their overall effects remain unknown.…”

Section: Introductionmentioning

confidence: 99%

Approaches for accelerating synchronization between photosensitive neurons in a coupled memory delay system

Zhou,

Huang,

Zhu

et al. 2023

Preprint

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After being stimulated by external light, photoreceptor cells in the retina produce action potentials, which are then transmitted to the visual center to create vision. Reduced vision and even blindness can result from changes in photoreceptor cells. The most cutting-edge treatment available right now is to implant electronic chips to replace the damaged photoreceptor cells. Therefore, it is crucial to understand the biophysical processes that the photoreceptor cell goes through. However, the pertinent biophysical mechanisms are still not entirely understood. This study adds phototube to the FitzHugh Nagumo (FHN) model, builds a light-dependent neuron model by using phototube's photosensitive properties, and proposes a coupled photosensitive neuron model. The effects of synaptic connection between neurons, information transmission delay, external stimulation, electromagnetic effects generated by the memristors, and noise stimulation on the synchronization of the neuronal system are all fully taken into account by the model. The outcomes of the experiment suggest that these variables regulate the speed and stability of synchronization. In an effort to develop a theoretical foundation for the treatment of visual problems, the results of the numerical simulation serve as a certain point of reference for research into the biophysical mechanisms of photosensitive neurons.

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“…Yang et al claimed that the electric field energy occupies the highest proportion of Hamilton energy, and neurons can present chaotic firing, while bursting and spiking behaviors emerge when magnetic field energy holds maximal proportion of Hamilton energy [27]. Ma et al clarified that the creation and growth of synapses result from the energy diversity between neurons, and the intensity of synaptic coupling is controlled to reach a saturation value, while energy balance is maintained between neurons [28][29][30][31].…”

Section: Introductionmentioning

confidence: 99%

Energy evolution in function neuronal network under different coupling channel

Zhang,

Jin,

2023

Preprint

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Connecting piezoelectric ceramic to any neuron circuit can result in an auditory neuronal circuit by generating different output voltages that convert external mechanical forces and vibrations into electrical signals. In this paper, three auditory neuron circuits with different firing states connect to form a ring network using resistor, inductor, and capacitor. The coupling channels can be tamed under voltage, magnetic field, and electric field couplings simultaneously. The three kinds of coupling can modulate synchronization via continuous energy exchange and pumping, and the coupling resistor consumes only Joule heat, while the capacitor and inductor can pump and conserve field energy. So the proportion of electric field energy, magnetic field energy and total energy in each neuron, and field energy proportion kept in the coupling channels are respectively calculated to discern the dependence of the firing state and synchronization mode on the energy. It is shown that higher strength coupling can not only attenuate periodic firing and increase the electric field energy proportion in neurons, but also transform chaotic firing into periodic firing and increase the magnetic field energy proportion. The total energy proportion of the coupling channels continuously increases if neurons show only periodic firing, but the existence of neurons with chaotic firing can increase firstly and then decrease the energy proportion. In fact, compared to resistor and capacitor channel, the stronger the coupling can induce the more energy proportion in the inductor channel, which is beneficial for the synchronization of neurons connected by it. From a biophysical perspective, the activation of magnetic field coupling is the result of the continuous release and propagation of intracellular and extracellular ions, which is very similar to the activation of chemical synaptic coupling through the continuous release of neurotransmitters. Therefore, magnetic field coupling may play a key role in modulating collective behavior among neurons.

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Energy-guided synapse coupling between neurons under noise

Cited by 14 publications

References 67 publications

Influence of external current and noise on modes of electrical activities and energy of Hindmarsh-Rose model coupled by memristive synapses

Influence of external current and noise on modes of electrical activities and energy of Hindmarsh-Rose model coupled by memristive synapses

Approaches for accelerating synchronization between photosensitive neurons in a coupled memory delay system

Energy evolution in function neuronal network under different coupling channel

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