Valeri A. Makarov

ORCID: 0000-0001-8789-7532
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About
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Research Areas
  • Neural dynamics and brain function
  • Neural Networks and Applications
  • Neuroscience and Neural Engineering
  • EEG and Brain-Computer Interfaces
  • Advanced Memory and Neural Computing
  • Nonlinear Dynamics and Pattern Formation
  • stochastic dynamics and bifurcation
  • Photoreceptor and optogenetics research
  • Neuroscience and Neuropharmacology Research
  • Blind Source Separation Techniques
  • Memory and Neural Mechanisms
  • Cognitive Science and Mapping
  • Fractal and DNA sequence analysis
  • Muscle activation and electromyography studies
  • Image and Signal Denoising Methods
  • Nonlinear Photonic Systems
  • Functional Brain Connectivity Studies
  • Chaos control and synchronization
  • Robotic Path Planning Algorithms
  • Robot Manipulation and Learning
  • Tactile and Sensory Interactions
  • Cold Atom Physics and Bose-Einstein Condensates
  • Theoretical and Computational Physics
  • Quantum chaos and dynamical systems
  • Modular Robots and Swarm Intelligence

Universidad Complutense de Madrid
2014-2023

N. I. Lobachevsky State University of Nizhny Novgorod
2015-2022

Institute of Physics and Technology
2022

Instituto Cajal
2010-2015

Consejo Superior de Investigaciones Científicas
2010

Radiophysical Research Institute
1995-2001

Saratov State University
1997

Central Aerohydrodynamic Institute
1994

Yerevan State University
1992

Institute of Normal Physiology named after P.K. Anokhin
1988-1989

Вейвлет-анализ в нейродинамике, Павлов А.Н., Храмов А.Е., Короновский А.А., Ситникова Е.Ю., Макаров В.А., Овчинников А.А.

10.3367/ufnr.0182.201209a.0905 article UK Uspekhi Fizicheskih Nauk 2012-01-01

Development of spiking neural networks (SNNs) controlling mobile robots is one the modern challenges in computational neuroscience and artificial intelligence. Such networks, being replicas biological ones, are expected to have a higher potential than traditional (ANNs). The key problem design robust learning algorithms aimed at building "living computer" on basis SNNs. Here, we propose simple SNN equipped with Hebbian rule form spike timing dependent plasticity (STDP). implements...

10.3389/fnins.2020.00088 article EN cc-by Frontiers in Neuroscience 2020-02-26

Recent advances in recording and real-time analysis of surface electromyographic signals (sEMG) have fostered the use sEMG human-machine interfaces for controlling personal computers, prostheses upper limbs, exoskeletons among others. Despite a relatively high mean performance, sEMG-interfaces still exhibit strong variance fidelity gesture recognition different users. Here, we systematically study latent factors determining performance synthetic tests an arcade game. We show that degree...

10.3390/s18041122 article EN cc-by Sensors 2018-04-06

The evolution and collision of dark solitary waves (solitons) appearing in cigar-shaped Bose-Einstein condensates with repulsive atom-atom interaction are here considered using a Boussinesq-Korteweg--de Vries description. We provide theoretical predictions computer experiment evidence about their phase shifts or change trajectories, the space-time plot, corresponding upon collisions. Details also given suggested that could assess genuine solitonic nature.

10.1103/physreva.64.013617 article EN Physical Review A 2001-06-08

Information processing and exchange between brain nuclei are made through spike series sent by individual neurons in highly irregular temporal patterns. Synchronization cell assemblies, proposed as a network language for internal neural representations, still has little experimental support. We use novel technique to extract pathway-specific local field potentials (LFPs) the hippocampus explore ongoing structure of single presynaptic input, CA3 Schaffer pathway, its contribution spontaneous...

10.1523/jneurosci.4499-11.2012 article EN cc-by-nc-sa Journal of Neuroscience 2012-04-11

We consider, both analytically and numerically, the evolution of two-dimensional (2D) nonlinear matter-wave pulses in a Bose-Einstein condensate with disk-shaped trap repulsive atom-atom interactions. Due to strong confinement axial direction sound speed system is ${c=(1/2}^{1/4}{)c}_{0},$ where ${c}_{0}$ corresponding value without trap. From 3D order-parameter equation condensate, we derive soliton-bearing Kadomtsev-Petriashvili positive dispersion. When trapping potential weak two...

10.1103/physreva.67.023604 article EN Physical Review A 2003-02-13

We show that firing activity (spiking) can be regularized by noise in a FitzHugh-Nagumo (FHN) neuron model when operating slightly beyond the supercritical Hopf bifurcation (in ``canard'' region). also provide conditions for imperfect phase locking between interspike intervals and low amplitude quasiharmonic oscillations. For no need exists of an external signal as it follows from FHN intrinsic dynamics.

10.1103/physrevlett.86.3431 article EN Physical Review Letters 2001-04-09

Ongoing network activity often manifests as irregular fluctuations in local field potentials (LFPs), a complex mixture of multicellular synaptic currents varying locations and extensions. Among other conditions, for synchronously firing presynaptic units to generate sizable postsynaptic LFPs, their axonal territories should overlap. We have taken advantage anatomical regularity the rat hippocampus combined multiple linear recordings spatial discrimination techniques separate pathway-specific...

10.1093/cercor/bht022 article EN Cerebral Cortex 2013-02-08

To determine why some pathways but not others produce sizable local field potentials (LFPs) and how far from the source can these be recorded, complementary experimental analyses realistic modeling of specific brain structures are required. In present study, we combined multiple in vivo linear recordings rats a tridimensional finite element model dentate gyrus, curved structure displaying abnormally large positive LFPs. We demonstrate that polarized dendritic arbour granule cells (GCs), with...

10.1523/jneurosci.0338-13.2013 article EN cc-by-nc-sa Journal of Neuroscience 2013-09-25

It is unclear whether the two hippocampal lobes convey similar or different activities and how they cooperate. Spatial discrimination of electric fields in anesthetized rats allowed us to compare pathway-specific field potentials corresponding gamma-paced CA3 output (CA1 Schaffer potentials) somatic inhibition within between sides. Bilateral excitatory gamma waves are generally larger lead from right hemisphere with only moderate covariation amplitude, drive CA1 pyramidal units more strongly...

10.7554/elife.16658 article EN cc-by eLife 2016-09-06

Codifying memories is one of the fundamental problems modern Neuroscience. The functional mechanisms behind this phenomenon remain largely unknown. Experimental evidence suggests that some memory functions are performed by stratified brain structures such as hippocampus. In particular case, single neurons in CA1 region receive a highly multidimensional input from CA3 area, which hub for information processing. We thus assess implication abundance neuronal signalling routes converging onto...

10.1007/s11538-018-0415-5 article EN cc-by Bulletin of Mathematical Biology 2018-03-19

Navigation in time-evolving environments with moving targets and obstacles requires cognitive abilities widely demonstrated by even simplest animals. However, it is a long-standing challenging problem for artificial agents. Cognitive autonomous robots coping this must solve two essential tasks: 1) understand the environment terms of what may happen how I can deal 2) learn successful experiences their further use an automatic subconscious way. The recently introduced concept compact internal...

10.1109/tnnls.2013.2271645 article EN IEEE Transactions on Neural Networks and Learning Systems 2013-07-24

To study how the visual areas of 2 hemispheres interact in processing stimuli we have recorded local field potentials callosally connected parts 17 and 18 ferret during presentation 3 kinds stimuli: 2.5° squares flashed for 50 ms randomly (S1), 4 full-field gratings differing orientation by 45° identical hemifields (S2) as above but whose and/or direction motion differed 90° (S3). The remained stationary 0.5 s then moved 1 directions perpendicular to their s. We compared responses baseline...

10.1093/cercor/bhm222 article EN Cerebral Cortex 2007-12-07

Analysis of local field potentials (LFPs) helps understand the function converging neuronal populations that produce mixed synaptic activity in principal cells. Recently, using independent component analysis (ICA), we resolved ongoing hippocampal into several major contributions stratified LFP-generators. Here, pathway-specific LFP reconstruction, isolated LFP-generators describe Schaffer-CA1 and Perforant-Dentate excitatory inputs anesthetized rat. First, applied ICA current source density...

10.1152/jn.00297.2010 article EN Journal of Neurophysiology 2010-05-12

Fluctuations in successive waves of oscillatory local field potentials (LFPs) reflect the ongoing processing neuron populations. However, their amplitude, polarity and synaptic origin are uncertain due to blending electric fields produced by multiple converging inputs, lack a baseline standard AC-coupled recordings. Consequently, estimation underlying currents laminar analysis yields spurious sequences inward outward currents. We devised combined analytical/experimental approach that is...

10.1371/journal.pone.0075499 article EN cc-by PLoS ONE 2013-09-20
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