Maslennikov Oleg Vladimirovich

 
PhD in Physics and Mathematics
49-05
SPIN РИНЦ: 8598-6025
Web of Science ResearcherID: N-3093-2019
Scopus AuthorID: 56370370000
Scope of professional interests

Nonlinear dynamics, complex networks, mathematical and computational neuroscience, machine learning

Education
  • 2014 – PhD in Physics and Mathematics, Institute of Applied Physics of the R.A.S.
  • 2011 – MSc, Radiophysics, Lobachevsky State University of Nizhny Novgorod
  • 2009 – BSc, Physics, Lobachevsky State University of Nizhny Novgorod
Awards, prizes, grants
  • 2021 – President Grant for young researchers.
  • 2019 – Russian Science Foundation Grant for young researchers.
  • 2018 – President Grant for young researchers.
  • 2017 – Medal of the Russian Academy of Sciences for young researchers.
  • 2015 – President Scholarship for young researchers.
  • 2012 – Russian Foundation for Basic Research Grant "My first grant".
  • 2012 – Grant of FTP "Scientific and pedagogical staff of innovative Russia".
Most important papers and results

Ivanov, D. A., Larionov, D. A., Maslennikov, O. V., & Voevodin, V. V. (2025). Neural network compression for reinforcement learning tasks. Scientific Reports, 15(1), 9718.

Maslennikov, O., Perc, M., & Nekorkin, V. (2024). Topological features of spike trains in recurrent spiking neural networks that are trained to generate spatiotemporal patterns. Frontiers in computational neuroscience, 18, 1363514.

Pugavko, M. M., Maslennikov, O. V., & Nekorkin, V. I. (2023). Multitask computation through dynamics in recurrent spiking neural networks. Scientific Reports, 13(1), 3997.

Maslennikov, O. V., Pugavko, M. M., Shchapin, D. S., & Nekorkin, V. I. (2022). Nonlinear dynamics and machine learning of recurrent spiking neural networks. Physics-Uspekhi, 65(10), 1020-1038.

Maslennikov, O. V., & Nekorkin, V. I. (2020). Stimulus-induced sequential activity in supervisely trained recurrent networks of firing rate neurons. Nonlinear Dynamics, 101(2), 1093-1103.

Maslennikov, O. V., & Nekorkin, V. I. (2019). Collective dynamics of rate neurons for supervised learning in a reservoir computing system. Chaos: An Interdisciplinary Journal of Nonlinear Science, 29(10).

Maslennikov, O. V., & Nekorkin, V. I. (2017). Adaptive dynamical networks. Physics-Uspekhi, 60(7), 694.