ISSN 0869-6632 (Print)
ISSN 2542-1905 (Online)

For citation:

Navrotskaya E. V., Kulminskiy D. D., Ponomarenko V. I., Prokhorov M. D. Estimation of impulse action parameters using a network of neuronlike oscillators. Izvestiya VUZ. Applied Nonlinear Dynamics, 2022, vol. 30, iss. 4, pp. 495-512. DOI: 10.18500/0869-6632-2022-30-4-495-512, EDN: DOBQUT

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Language: 
Russian
Heading: 
Nonlinear Dynamics and Neuroscience
Article type: 
Article
UDC: 
537.86
DOI: 
10.18500/0869-6632-2022-30-4-495-512
EDN: 
DOBQUT

Estimation of impulse action parameters using a network of neuronlike oscillators

Autors: 
Navrotskaya Elena Vladimirovna, Saratov State University
Kulminskiy Danil Dmitrievich, Saratov Branch of Kotel`nikov Institute of Radiophysics and Electronics of Russian Academy of Sciences
Ponomarenko Vladimir Ivanovich, Saratov Branch of Kotel`nikov Institute of Radiophysics and Electronics of Russian Academy of Sciences
Prokhorov Mihail Dmitrievich, Saratov Branch of Kotel`nikov Institute of Radiophysics and Electronics of Russian Academy of Sciences
Abstract: 

Aim of the study is to develop a method for estimating the parameters of an external periodic impulse action using a spiking network of neuronlike oscillators. Methods. The spiking activity of a network consisting of coupled nonidentical neuronlike FitzHugh–Nagumo oscillators was studied, depending on the parameters of the periodic impulse action. To estimate the amplitude of the external impulse signal, we detuned the FitzHugh–Nagumo oscillators, which were in a stable state of equilibrium in the absence of an external action, by the threshold parameter responsible for the excitation of the oscillator. To estimate the frequency of excitatory pulses, we detuned the FitzHugh–Nagumo oscillators by the parameter characterizing the ratio of time scales, the value of which determines the natural frequency of oscillators. We also changed the duration of external pulses. Results. It is shown that the number of spikes generated by a network of nonidentical FitzHugh–Nagumo oscillators has a monotonic dependence on the amplitude of the external pulse signal and a nonmonotonic dependence on the frequency of the pulse signal. The number of spikes generated by the network remains constant over a wide range of external pulse durations. A method for estimating the amplitude and frequency of impulse action is proposed. The method efficiency is demonstrated in numerical simulations and in a radio physical experiment. Conclusion. The proposed method allows one to estimate the amplitude of an external pulse signal, knowing its frequency, and estimate the frequency of this signal, knowing its amplitude. The method can be used in robotics when solving the problems of information processing related to the motion control of mobile robots. 

Key words: 
neuronlike oscillators
FitzHugh–Nagumo model
spiking neural network
periodic impulse action
radio physical experiment
Acknowledgments: 
This study was supported by the Russian Science Foundation, Grant No. 22-22-00150, https://rscf.ru/project/22-22-00150/
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Received: 
12.05.2022
Accepted: 
26.05.2022
Published: 
01.08.2022
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