Valeri A. Makarov

发表

Inferring Neural Connectivity and the Underlying Network Dynamics from Spike Train Recordings

Fivos Panetsos, O. De Feo, Valeri A. Makarov, 2004 .

Prediction-for-CompAction: navigation in social environments using generalized cognitive maps

Valeri A. Makarov, José Antonio Villacorta-Atienza, Carlos Calvo, 2015, Biological Cybernetics.

Optimal sorting of neural spikes with wavelet and filtering techniques

Alexey N. Pavlov, Valeri A. Makarov, Anatoly N. Tupitsyn, 2008, SPIE BiOS.

Microscopic and macroscopic modeling of neuronal connectivity

Fivos Panetsos, Valeri A. Makarov, Giorgio M. Innocenti, 2004 .

Elements for a general memory structure: properties of recurrent neural networks used to form situation models

Holk Cruse, Yongli Song, Valeri A. Makarov, 2008, Biological Cybernetics.

Application of wavelet-based tools to study the dynamics of biological processes

Alexey N. Pavlov, Erik Mosekilde, Valeri A. Makarov, 2006, Briefings Bioinform..

Can pathway-specific LFPs be obtained in cytoarchitectonically complex structures?

Oscar Herreras, Julia Makarova, Valeri A. Makarov, 2014, Front. Syst. Neurosci..

Holistic Model of Cognitive Limbs for Dynamic Situations

Valeri A. Makarov, José Antonio Villacorta-Atienza, Carlos Calvo, 2017, NEUROTECHNIX.

Identification of functional neural circuits from extracellular recordings using a novel mathematical method

Fivos Panetsos, Valeri A. Makarov, O. De Feo, 2004 .

Cognitive Neural Network Driving DoF-Scalable Limbs in Time-Evolving Situations

Abel Sanchez-Jimenez, Valeri A. Makarov, José Antonio Villacorta-Atienza, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Compact internal representation as a protocognitive scheme for robots in dynamic environments

Valeri A. Makarov, Manuel G. Velarde, V. A. Makarov, 2011, Microtechnologies.

Stability of Neural Firing in the Trigeminal Nuclei under Mechanical Whisker Stimulation

Alexey N. Pavlov, Fivos Panetsos, Angel Moreno, 2010, Comput. Intell. Neurosci..

Static internal representation of dynamic situations reveals time compaction in human cognition

Valeri A. Makarov, José Antonio Villacorta-Atienza, Sergey Lobov, 2018, Journal of advanced research.

Automatic Diagnostics and Processing of EEG

Alexey N. Pavlov, Alexey A. Koronovskii, Alexander E. Hramov, 2015 .

Spiking Neurons in Control of Robotic Devices

Victor B. Kazantsev, Valeri A. Makarov, Sergey Lobov, 2015 .

FPGA implementation of a modified FitzHugh-Nagumo neuron based causal neural network for compact internal representation of dynamic environments

Valeri A. Makarov, Jose A. Villacorta-Atienza, Luis Alba, 2011, Microtechnologies.

Waves in isotropic Totalistic Cellular Automata: Application to Real-Time robot Navigation

Valeri A. Makarov, José Antonio Villacorta-Atienza, Carlos Calvo, 2016, Adv. Complex Syst..

Stability switches, oscillatory multistability, and spatio-temporal patterns of nonlinear oscillations in recurrently delay coupled neural networks

Yongli Song, Valeri A. Makarov, Manuel G. Velarde, 2009, Biological Cybernetics.

Brief Tour of Wavelet Theory

Alexey N. Pavlov, Alexey A. Koronovskii, Alexander E. Hramov, 2015 .

Disentanglement of local field potential sources by independent component analysis

Oscar Herreras, Valeri A. Makarov, V. A. Makarov, 2010, Journal of Computational Neuroscience.

A Human-Computer Interface based on Electromyography Command-Proportional Control

Victor B. Kazantsev, Sergey Lobov, Valeri A. Makarov, 2016, NEUROTECHNIX.

Classification of Neuronal Spikes from Extracellular Recordings

Alexey N. Pavlov, Alexey A. Koronovskii, Alexander E. Hramov, 2021, Wavelets in Neuroscience.

Human-machine interface built on sEMG toolkit with artificial neural network feature classifier

Sergey Lobov, Valeri A. Makarov, Innokentiy Kastalskiy, 2016 .

Wavelet Approach to the Study of Rhythmic Neuronal Activity

Alexey N. Pavlov, Alexey A. Koronovskii, Alexander E. Hramov, 2021, Wavelets in Neuroscience.

Clustering behavior in a three-layer system mimicking olivo-cerebellar dynamics

Vladimir I. Nekorkin, Valeri A. Makarov, Manuel G. Velarde, 2004, Neural Networks.

Symphony of high-dimensional brain

Alexander N. Gorban, Valeri A. Makarov, Ivan Y. Tyukin, 2019, Physics of life reviews.

Universal principles justify the existence of concept cells

Ivan Tyukin, Valeri A. Makarov, V. A. Makarov, 2019, Scientific Reports.

Semantic Knowledge Representation for Strategic Interactions in Dynamic Situations

Abel Sanchez-Jimenez, Sergey Lobov, Valeri A. Makarov, 2020, Frontiers in Neurorobotics.

Compact internal representation of dynamic situations: neural network implementing the causality principle

Valeri A. Makarov, José Antonio Villacorta-Atienza, Manuel G. Velarde, 2010, Biological Cybernetics.

Corticofugal Modulation of Tactile Responses of Neurons in the Spinal Trigeminal Nucleus: A Wavelet Coherence Study

Valeri A. Makarov, Nazareth P. Castellanos, V. A. Makarov, 2009 .

Noise Enhanced Signaling in STDP Driven Spiking-Neuron Network

M. O. Zhuravlev, Valeri A. Makarov, Sergey Lobov, 2017 .

Latent Factors Limiting the Performance of sEMG-Interfaces

Victor B. Kazantsev, Sergey Lobov, Valeri A. Makarov, 2018, Sensors.

Spatial Properties of STDP in a Self-Learning Spiking Neural Network Enable Controlling a Mobile Robot

Victor B. Kazantsev, Valeri A. Makarov, Maxim Shamshin, 2020, Frontiers in Neuroscience.

Experimental study of a noisy dissipative-driven ring lattice with Morse interactions

Werner Ebeling, Valeri A. Makarov, Manuel G. Velarde, 2003, SPIE International Symposium on Fluctuations and Noise.

Sorting of neural spikes: When wavelet based methods outperform principal component analysis

Alexey N. Pavlov, Fivos Panetsos, Valeri A. Makarov, 2007, Natural Computing.

Sensory-motor neural loop discovering statistical dependences among imperfect sensory perception and motor response

Luca Patané, Valeri A. Makarov, Manuel G. Velarde, 2007, SPIE Microtechnologies.

Separation of Extracellular Spikes: When Wavelet Based Methods Outperform the Principle Component Analysis

Alexey N. Pavlov, Fivos Panetsos, Valeri A. Makarov, 2005, IWINAC.

Mathematical Approach to Sensory Motor Control and Memory

Valeri A. Makarov, Manuel G. Velarde, Davide Lombardo, 2009, Spatial Temporal Patterns for Action-Oriented Perception in Roving Robots.

Phase resetting, Clusters, and Waves in a Lattice of Coupled oscillatory Units

Vladimir I. Nekorkin, Valeri A. Makarov, Manuel G. Velarde, 2001, Int. J. Bifurc. Chaos.

Wavelet-analysis in application to studying spike separation and information encoding in neuron dynamics

Olga N. Pavlova, Alexey N. Pavlov, Fivos Panetsos, 2006, SPIE BiOS.

Wavelets in Neuroscience

Alexey N. Pavlov, Alexey A. Koronovskii, Alexander E. Hramov, 2014, Springer Series in Synergetics.

Detection of Internal and External Events in Spiking Neural Networks

Victor B. Kazantsev, Valeri A. Makarov, Sergey Lobov, 2016, NEUROTECHNIX 2016.

Learning Connectivity Structure in a Chain of Network Motifs

Valeri A. Makarov, Carlos Calvo, Victor Gallego, 2016 .

Spatial memory based on an STDP-driven neural network

Victor B. Kazantsev, Valeri A. Makarov, V. A. Makarov, 2020, 2020 4th Scientific School on Dynamics of Complex Networks and their Application in Intellectual Robotics (DCNAIR).

Wave-Processing of Long-Scale Information by Neuronal Chains

Valeri A. Makarov, José Antonio Villacorta-Atienza, V. A. Makarov, 2013, PloS one.

Roving Robots Gain from an Orientation Algorithm of Fruit Flies and Predict a Fly Decision-Making Algorithm

Roland Strauss, Paolo Arena, Luca Patané, 2014, Living Machines.

Neural Network Architecture for Cognitive Navigation in Dynamic Environments

Valeri A. Makarov, José Antonio Villacorta-Atienza, V. A. Makarov, 2013, IEEE Transactions on Neural Networks and Learning Systems.

Analysis of Single Neuron Recordings

Alexey N. Pavlov, Alexey A. Koronovskii, Alexander E. Hramov, 2021, Wavelets in Neuroscience.

Separation of extracellular spikes with wavelets and neural networks

Alexey N. Pavlov, Valeri A. Makarov, Anatoly N. Tupitsyn, 2009, BiOS.

Time–Frequency Analysis of EEG: From Theory to Practice

Alexey N. Pavlov, Alexey A. Koronovskii, Alexander E. Hramov, 2015 .

Complex Dynamics, Synchronization, and Emergent Behaviour in Neural Systems and Networks

Ivan Tyukin, Valeri A. Makarov, 2017 .

The unreasonable effectiveness of small neural ensembles in high-dimensional brain

Ivan Tyukin, Alexander N. Gorban, Valeri A. Makarov, 2018, Physics of life reviews.

Effective application of independent component analysis to the task of gradual EMG control

Valeri A. Makarov, Sergey Lobov, M O Shamshin, 2018 .

Inferring the Dynamics of "Hidden" Neurons from Electrophysiological Recordings

Valeri A. Makarov, Nazareth P. Castellanos, 2006 .

Coherent Motions and Clusters in a dissipative Morse Ring Chain

Werner Ebeling, Valeri A. Makarov, Jörn Dunkel, 2002, Int. J. Bifurc. Chaos.

Spiking Neurons as Universal Building Blocks for Hybrid Systems

Victor B. Kazantsev, Valeri A. Makarov, Sergey Lobov, 2016 .

Mathematical Methods of Signal Processing in Neuroscience

Alexey N. Pavlov, Alexey A. Koronovskii, Alexander E. Hramov, 2015 .

Basic principles drive self-organization of brain-like connectivity structure

Carlos Tapia, Cees van Leeuwen, Valeri A. Makarov, 2020, Commun. Nonlinear Sci. Numer. Simul..

Parallel Readout of Pathway-Specific Inputs to Laminated Brain Structures

Oscar Herreras, Julia Makarova, José M. Ibarz, 2011, Front. Syst. Neurosci..

Competition of Spike-Conducting Pathways in STDP Driven Neural Networks

Victor B. Kazantsev, Sergey Lobov, Valeri A. Makarov, 2017, NEUROTECHNIX.

Soliton-like Waves on dissipative Toda Lattices

Werner Ebeling, Valeri A. Makarov, Manuel G. Velarde, 2000, Int. J. Bifurc. Chaos.

Synchronization of Heteroclinic Circuits Through Learning in Chains of Neural Motifs

Valeri A. Makarov, V. A. Makarov, Carlos Calvo, 2016 .

A method for determining neural connectivity and inferring the underlying network dynamics using extracellular spike recordings

Fivos Panetsos, Valeri A. Makarov, V. A. Makarov, 2005, Journal of Neuroscience Methods.

Supervised and unsupervised learning in processing myographic patterns

Victor B. Kazantsev, Sergey Lobov, Valeri A. Makarov, 2018, Journal of Physics: Conference Series.

Compact Internal Representation of Dynamic Environments: Simple Memory Structures for Complex Situations

Valeri A. Makarov, José Antonio Villacorta-Atienza, Manuel G. Velarde, 2014, Spatial Temporal Patterns for Action-Oriented Perception in Roving Robots II.

The dependence on noise of STDP-Driven synchronization at neural network

M. O. Zhuravlev, Victor B. Kazantsev, Valeri A. Makarov, 2016 .

Simple Agents Benefit Only From Simple Brains

Valeri A. Makarov, Manuel G. Velarde, V. A. Makarov, 2008 .

Limb Movement in Dynamic Situations Based on Generalized Cognitive Maps

Valeri A. Makarov, José Antonio Villacorta-Atienza, Carlos Calvo, 2017 .

Synchronization of heteroclinic circuits through learning in coupled neural networks

Valeri A. Makarov, Anton Selskii, 2016 .

Spatial Memory in a Spiking Neural Network with Robot Embodiment

Victor B. Kazantsev, Valeri A. Makarov, V. A. Makarov, 2021, Sensors.

Analysis and Real-Time Classification of Motor-Related EEG and MEG Patterns

Vladimir A. Maksimenko, Alexey N. Pavlov, Alexey A. Koronovskii, 2021 .