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Vladimir I. Ponomarenko

Publications and source records attributed to Vladimir I. Ponomarenko.

4 recordsLinked to original sources

Electronic Bursting Neuron: design, equations and hardware implementation

Electronic neurons are a keystone for construction of the spiking neural networks which have numerous applications in neuroprosthetics, artificial memory, intensive calculations etc. A number of concepts of electronic neurons has been already proposedm with some of them implemented in hardware. However, new schemes are of significant interest since the existing ones do not fit all requirements: either they are too complex and expensive in realization, or they are not able to demonstrate all demanded regimes, or their do not have a appropriate mathematical description and therefore may be investigated only experimentally etc. In this study we propose a new design of bursting electronic neuron constructed as a circuit implementation of the equations of a phase-locked loop system. To succeed, we use a novel hybrid approach: we start from the phenomenological equations providing the demanded, then we adjust and modify these equations to simplify the implementation rather than implementing the biophysical equations into thee hardware directly or writing equations for the already constructed circuit. The resulting circuit is simple in implementation and well matches the underlying equations. It can be used for description of not only a single neuron, but small neural circuits too.

cs.NE↗

Hardware implementation of the ring generator with tunable frequency based on electronic neurons

Constructing electronic models of neurons has several applications including reproducing dynamics of biological neurons and their networks and neuroprosthetics. In the brain, most neurons themselves are in a non-oscillatory mode, and brain rhythms arise due to their collective dynamics. In this case, very small ensembles of neurons can act as rhythm generators. such ensembles can be constructed and study within the framework of a radiophysical experiment. In this work, a circuit of a ring rhythm generator was created from several (from two to eight) FitzHugh--Nagumo electronic oscillators with electronic synapses (sigmoid coupling function and delay were implemented). Oscillatory modes were shown to be possible in this circuit as a result of collective dynamics, with the frequency being controlled by means of a delay in the synapse and/or changing the number of elements in the ring. For some parameter values, there were multistability modes, when the implementation of a specific oscillatory regime was determined by initial conditions or could be achieved by a short-term external driving. The constructed generator well models the switching of the main frequency in brain local field potentials at limbic epilepsy, but can be used independently as well.

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Detection of synchronization from univariate data using wavelet transform

A method is proposed for detecting from univariate data the presence of synchronization of a self-sustained oscillator by external driving with varying frequency. The method is based on the analysis of difference between the oscillator instantaneous phases calculated using continuous wavelet transform at time moments shifted by a certain constant value relative to each other. We apply our method to a driven asymmetric van der Pol oscillator, experimental data from a driven electronic oscillator with delayed feedback and human heartbeat time series. In the latest case, the analysis of the heart rate variability data reveals synchronous regimes between the respiration and slow oscillations in blood pressure.

nlin.CD↗

Detecting synchronization of self-sustained oscillators by external driving with varying frequency

We propose a method for detecting the presence of synchronization of self-sustained oscillator by external driving with linearly varying frequency. The method is based on a continuous wavelet transform of the signals of self-sustained oscillator and external force and allows one to distinguish the case of true synchronization from the case of spurious synchronization caused by linear mixing of the signals. We apply the method to driven van der Pol oscillator and to experimental data of human heart rate variability and respiration.

nlin.CD↗