Simulation of Epileptiform Activity Using Network of Neuron-Like Radio Technical Oscillators

Egorov, Nikita; Ponomarenko, V. I.; Sysoev, Ilya V.; Sysoeva, Marina V.

doi:10.1134/s1063784221030063

Cited by 7 publications

(2 citation statements)

References 21 publications

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“…Figure 4 shows the firing model of a single HR neuron, with parameters r � 0.0021 and I � 3.024. It can be seen from the simulation results that the discharge model of the HR neuron model is determined by the control parameter r. But this parameter is not necessarily the only parameter that controls the model type [29]. From the figure, it can be inferred that when r fluctuates in a certain numerical interval, an irregular neuron firing model can be obtained, that is, a rapid firing model.…”

Section: Extraction Of Neuron Signalsmentioning

confidence: 97%

Neuronal Apoptosis in Patients with Liver Cirrhosis and Neuronal Epileptiform Discharge Model Based upon Multi-Modal Fusion Deep Learning

Chi

Wang

et al. 2022

Journal of Healthcare Engineering

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Neurons refer to nerve cells. Each neuron is connected with thousands of other neurons to form a corresponding functional area and carry out complex communication with other functional areas. Its importance to the human body is self-evident. There are also many scholars studying the mechanism of apoptosis. This paper proposes a study of neuronal apoptosis in patients with liver cirrhosis and neuronal epileptiform discharge models based on multi-modal fusion deep learning, aiming to study the influencing factors of abnormal neuronal discharge in the brain. The method in this paper is to study multi-modal information fusion methods, perform Bayesian inference, and analyze multi-modal medical data. The function of these research methods is to obtain the relationship between the independence of information and the intersection of information among modalities. In the neuronal epileptiform discharge model, the mRNA expression level of the necroptotic signaling pathway related protein was detected, and the mechanism of neuronal necrosis in patients with liver cirrhosis was explored. Experiments show that the neuron recognition rate has been increased from 67.2% to 84.5%, and the time has been reduced, proving the effectiveness of deep learning.

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Section: Extraction Of Neuron Signalsmentioning

confidence: 97%

Neuronal Apoptosis in Patients with Liver Cirrhosis and Neuronal Epileptiform Discharge Model Based upon Multi-Modal Fusion Deep Learning

Chi

Wang

et al. 2022

Journal of Healthcare Engineering

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“…Earlier in the paper [19], a hardware implementation of a simplified FitzHugh-Nagumo neuron with one bifurcation parameter was implemented. The SPICE-model consisting of 14 simplified FitzHugh-Nagumo neurons connected linearly was built in [20]. The scaling of dynamics with increase of number of neurons in the model was demonstrated in [21].…”

Section: Introductionmentioning

confidence: 99%

Ring generator of neuron-like activity with tunable frequency

Egorov¹,

Sysoeva²,

Пономаренко³

et al. 2022

AND

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The aim of the work is to build a radiophysical generator of neuron-like activity with a frequency tunable in various ways, corresponding to modern ideas about the structure of the hippocampus and the generation of pathological epileptic rhythms in it. Methods. The elements of the generator are radio engineering implementations of the complete FitzHugh– Nagumo neuron and the electronic implementation of a chemical synapse in the form of a sigmoid function with a delayed argument. The simulation was carried out in the SPICE simulator. Results. Various ways of introducing delay into the coupling are considered: an ideal delay line, a phase filter with a rheostat, one tunable Bessel filter, and a sequence of non-tunable Bessel filters. For circuit implementation, the approach using a Bessel filter with a rheostat is recognized as optimal as a compromise between simplicity and minimization of signal distortion. The dependences of the oscillation frequency on the number of elements in the ring and the delay time are constructed. The bistability of generation regimes is studied for certain values of the parameters. The effect of inclusion of inhibitory elements (interneurons) in the circuit is considered. Conclusion. The constructed ring generator models the experimentally observed properties of the dynamics of epileptic discharge fundamental frequency in limbic epilepsy. It is able to reproduce the occurrence of oscillations as a result of external short-term driving, smooth and sharp frequency tuning, the coexistence of different modes with the same parameters.

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Transient dynamics in electronic neuron-like circuits in application to modeling epileptic seizures

et al. 2022

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Simulation of Epileptiform Activity Using Network of Neuron-Like Radio Technical Oscillators

Cited by 7 publications

References 21 publications

Neuronal Apoptosis in Patients with Liver Cirrhosis and Neuronal Epileptiform Discharge Model Based upon Multi-Modal Fusion Deep Learning

Neuronal Apoptosis in Patients with Liver Cirrhosis and Neuronal Epileptiform Discharge Model Based upon Multi-Modal Fusion Deep Learning

Ring generator of neuron-like activity with tunable frequency

Transient dynamics in electronic neuron-like circuits in application to modeling epileptic seizures

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