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

For citation:

Egorov N. M., Ponomarenko V. I., Melnikova S. N., Sysoev I. V., Sysoeva M. V. Common mechanisms of attractorless oscillatory regimes in radioengineering models of brain thalamocortical network. Izvestiya VUZ. Applied Nonlinear Dynamics, 2021, vol. 29, iss. 6, pp. 927-942. DOI: 10.18500/0869-6632-2021-29-6-927-942

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Language: 
Russian
Heading: 
Nonlinear Dynamics and Neuroscience
Article type: 
Article
UDC: 
621.373.9, 530.182, 004.942
DOI: 
10.18500/0869-6632-2021-29-6-927-942

Common mechanisms of attractorless oscillatory regimes in radioengineering models of brain thalamocortical network

Autors: 
Egorov Nikita Mikhailovich, Yuri Gagarin State Technical University of Saratov
Ponomarenko Vladimir Ivanovich, Saratov Branch of Kotel`nikov Institute of Radiophysics and Electronics of Russian Academy of Sciences
Melnikova Sofia Nikolaevna, Yuri Gagarin State Technical University of Saratov
Sysoev Ilya Vyacheslavovich, Saratov State University
Sysoeva Marina Vyacheslavovna, Saratov State University
Abstract: 

This work aims to show that long transient processes in mesascale models of thalamocortical brain network can appear in very general case, in particular for different number of elements in the ensemble (different level of detalization) and different initial phase of external driving, with these regimes surviving at small variations of number and structure of couplings. Methods. Thalamocortical brain networks are modelled using electronic circuit realized using computer SPICE eluating software. FitzHugh – Nagumo analog generator is used as a single circuit element. Results. Long quasiregular and nonregular oscillation processes with stationary amplitude were shown to occur in ensembles of 14, 28 and 56 model FitzHug – Nagumo generators. The dependency of transient process length on the external driving initial phase and particular coupling matrix structure was studied. Conclusion. The proposed electronic models of thalamocortical system were proved to reproduce the pathological regimes of brain activity in similar way despite the number of elements in the circuit, connectivity matrix and initial driving phase.

Key words: 
electronic model
thalamocortical brain network
epileptiform activity
scalability
variability
Acknowledgments: 
This study was supported by Russian Science Foundation, grant No. 21-72-00015, https://rscf.ru/project/21-72-00015/.
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Received: 
14.08.2021
Accepted: 
09.10.2021
Published: 
30.11.2021
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