scholarly journals Stochastic Memristive Interface for Neural Signal Processing

Sensors ◽  
2021 ◽  
Vol 21 (16) ◽  
pp. 5587
Author(s):  
Svetlana A. Gerasimova ◽  
Alexey I. Belov ◽  
Dmitry S. Korolev ◽  
Davud V. Guseinov ◽  
Albina V. Lebedeva ◽  
...  
Keyword(s):  
Complex Dynamics ◽  
Synaptic Connection ◽  
Adaptive Modulation ◽  
Postsynaptic Neuron ◽  
Memristive Device ◽  
Software Complex ◽  
Neural Signal Processing ◽  
Different Types ◽  
Self Tuning ◽  
Electronic Neuron

We propose a memristive interface consisting of two FitzHugh–Nagumo electronic neurons connected via a metal–oxide (Au/Zr/ZrO2(Y)/TiN/Ti) memristive synaptic device. We create a hardware–software complex based on a commercial data acquisition system, which records a signal generated by a presynaptic electronic neuron and transmits it to a postsynaptic neuron through the memristive device. We demonstrate, numerically and experimentally, complex dynamics, including chaos and different types of neural synchronization. The main advantages of our system over similar devices are its simplicity and real-time performance. A change in the amplitude of the presynaptic neurogenerator leads to the potentiation of the memristive device due to the self-tuning of its parameters. This provides an adaptive modulation of the postsynaptic neuron output. The developed memristive interface, due to its stochastic nature, simulates a real synaptic connection, which is very promising for neuroprosthetic applications.

scholarly journals Self-Tuning of Fuzzy Rules with Different Types of MSFs

2004 ◽  
Vol 16 (6) ◽  
pp. 540-550 ◽  
Author(s):  
Eikou GONDA ◽  
Hitoshi MIYATA ◽  
Masaaki OHKITA
Keyword(s):  
Fuzzy Rules ◽  
Different Types ◽  
Self Tuning

scholarly journals Новый подход к экспериментальному исследованию больших ансамблей радиотехнических генераторов со сложными связями

2020 ◽  
Vol 46 (4) ◽  
pp. 26 ◽  
Author(s):  
Д.Д. Кульминский ◽  
В.И. Пономаренко ◽  
И.В. Сысоев ◽  
М.Д. Прохоров
Keyword(s):  
Time Series ◽  
Complex Dynamics ◽  
Experimental Setup ◽  
New Approach ◽  
Analog To Digital ◽  
Complex Topology ◽  
Different Types ◽  
Large Ensembles ◽  
Experimental Time Series ◽  
Time Delayed Feedback

A new approach is proposed that allows one to investigate experimentally complex dynamics in large ensembles of coupled radio engineering generators. The approach is used for the construction of an analog-to-digital experimental setup for studying ensembles of generators with time-delayed feedback. A possibility of specifying an arbitrary architecture of couplings and different types of couplings between generators is implemented in the setup. It is shown that the complex topology of couplings and parameters of all generators can be reconstructed from their experimental time series.

scholarly journals The peculiarities of brain bioelectrical activity in infants who suffered from stress due to military conflict depending on type of feeding

2018 ◽  
Vol 10 (1) ◽  
pp. 55-60
Author(s):  
T. V. Shirina ◽  
I. B. Ershova
Keyword(s):  
Artificial Feeding ◽  
Control Group ◽  
Bioelectrical Activity ◽  
Military Conflict ◽  
Software Complex ◽  
Time Index ◽  
Conflict Zone ◽  
Different Types ◽  
Electroencephalographic Study ◽  
The Military

The aim of the research is to study the peculiarities of brain electrical activity in infants who suffered from stress due to military conflict and who were on different types of feeding. An electroencephalographic study was conducted in 68 infants who were in the military conflict zone and formed the main group. These infants were divided into 2 subgroups. Subgroup Ia included 36 infants who were breastfeeding. Subgroup Ib included 32 infants who were on artificial feeding. EEG was also made to 88 children who made up a control group and were outside the zone of military conflict. Of these, 47 children were breastfed, who entered the subgroup IIa and 41 children were on artificial feeding, included in subgroup IIb. The study was carried out with the help of a hardware-software complex for recording and processing electroencephalograms and evoked potentials DX-NT 32. The most pronounced physiological changes in brain bioelectrical activity were detected in the group of children undergoing stress of war and being on artificial feeding, which were manifested by lower parameters of the amplitude, frequency and time index of alpha and beta rhythms, increased amplitude, frequency and time index of delta and theta rhythms.

scholarly journals Host-Parasitoid Model With Intraspecific Competitions

2012 ◽  
Vol 1 (2) ◽  
pp. 105
Author(s):  
Banshidhar Sahoo ◽  
Swarup Poria
Keyword(s):  
Discrete Time ◽  
Bifurcation Analysis ◽  
Complex Dynamics ◽  
Handling Time ◽  
Phase Portraits ◽  
Search Rate ◽  
Reasonable Range ◽  
Different Types ◽  
Oscillatory Coexistence ◽  
Parameter Values

In this paper a discrete-time host-parasitoid model with intraspecific competitions is proposed. Phase portraits are drawn for different types of intraspecific competitions to notice the effects of intraspecific competitions for biologically reasonable range of parameter values. Bifurcation analysis is done with respect to instantaneous search rate as well as handling time for different types of intraspecific competitions. Many forms of complex dynamics such as chaos, periodic windows etc. are observed. The stable coexistence as well as oscillatory coexistence of host and parasitoid are shown under different types of intraspecific competitions. The Hopf point and attractor crises exist for different intraspecific competitions.

Different Types of Instabilities and Complex Dynamics in Reaction-Diffusion Systems With Fractional Derivatives

2012 ◽  
Vol 7 (3) ◽  
Author(s):  
Vasyl Gafiychuk ◽  
Bohdan Datsko
Keyword(s):  
Complex Dynamics ◽  
Reaction Diffusion ◽  
Reaction Diffusion Systems ◽  
Diffusion Systems ◽  
Different Types ◽  
Linearized System ◽  
The Stability ◽  
Nonlinear Solutions ◽  
Activator Inhibitor ◽  
Fractional Reaction

In this article we analyze conditions for different types of instabilities and complex dynamics that occur in nonlinear two-component fractional reaction-diffusion systems. It is shown that the stability of steady state solutions and their evolution are mainly determined by the eigenvalue spectrum of a linearized system and the fractional derivative order. The results of the linear stability analysis are confirmed by computer simulations of the FitzHugh-Nahumo-like model. On the basis of this model, it is demonstrated that the conditions of instability and the pattern formation dynamics in fractional activator- inhibitor systems are different from the standard ones. As a result, a richer and a more complicated spatiotemporal dynamics takes place in fractional reaction-diffusion systems. A common picture of nonlinear solutions in time-fractional reaction-diffusion systems and illustrative examples are presented. The results obtained in the article for homogeneous perturbation have also been of interest for dynamical systems described by fractional ordinary differential equations.

scholarly journals Dynamical phenomena induced by bottleneck

2010 ◽  
Vol 368 (1928) ◽  
pp. 4543-4562 ◽  
Author(s):  
I. Gasser ◽  
B. Werner
Keyword(s):  
Numerical Simulations ◽  
Nonlinear Equations ◽  
Bifurcation Analysis ◽  
Complex Dynamics ◽  
Standing Waves ◽  
Continuation Methods ◽  
Traffic Dynamics ◽  
Poincaré Maps ◽  
Different Types ◽  
The Way

We study a microscopic follow-the-leader model on a circle of length L with a bottleneck. Allowing large bottleneck strengths we encounter very interesting traffic dynamics. Different types of waves—travelling and standing waves and combinations of both wave types—are observed. The way to find these phenomena requires a good understanding of the complex dynamics of the underlying (nonlinear) equations. Some of the phenomena, like the ponies-on-a-merry-go-round solutions, are mathematically well known from completely different applications. Mathematically speaking we use Poincaré maps, bifurcation analysis and continuation methods beside numerical simulations.

scholarly journals Complex dynamics in a simple model of interdependent open economies

2000 ◽  
Vol 5 (3) ◽  
pp. 161-177 ◽  
Author(s):  
Shahriar Yousef ◽  
Yuri Maistrenko ◽  
Svitlana Popovych
Keyword(s):  
Global Economy ◽  
Complex Dynamics ◽  
Dynamic Properties ◽  
Market Model ◽  
Transition To Chaos ◽  
Proposed Model ◽  
Different Types ◽  
Regions Of Stability ◽  
Analytical Approaches ◽  
General Specification

Based on a simple two-market model, characterized by a demand link between competitive markets for goods, a system of coupled difference equations is used to represent the interdependent structure of a global economy. Relying on numerical and analytical approaches, Various dynamic properties of the proposed model are explored. Among others, a general specification of the regions of stability of the equilibrium and main periodic cycles, the transition to chaos through torus destruction, chaotic synchronization, and the coexistence of different types of attractors in parameter space are described. Typical bifurcation processes are illustrated.

Discrete Switching Host-Parasitoid Models with Integrated Pest Control

2014 ◽  
Vol 24 (09) ◽  
pp. 1450114 ◽  
Author(s):  
Changcheng Xiang ◽  
Zhongyi Xiang ◽  
Sanyi Tang ◽  
Jianhong Wu
Keyword(s):  
Pest Control ◽  
Complex Dynamics ◽  
Control Measures ◽  
Switching Frequency ◽  
Multiple Attractors ◽  
Multiple Control ◽  
Different Types ◽  
Existence And Stability ◽  
Numerical Bifurcation ◽  
Integrated Pest Control

The switched discrete host-parasitoid model concerning integrated pest management (IPM) has been proposed in the present work, and the economic threshold (ET) is chosen to guide the switches. That is, if the density of host (pest) population increases and exceeds the ET, then the biological and chemical tactics are applied together. Those multiple control measures are suspended once the density of host falls below the ET. Firstly, the existence and stability of several types of equilibria of switched system have been discussed briefly, and two- or three-parameter bifurcation diagrams reveal the regions of different types of equilibria including regular and virtual equilibria. Secondly, numerical bifurcation analyses show that the switched discrete system may have very complex dynamics including the co-existence of multiple attractors and switched-like behavior among attractors. Finally, we address how the key parameters and initial values of both host and parasitoid populations affect the host outbreaks, switching frequencies or mean switching frequency, and consequently the relative biological implications with respect to pest control are discussed.

scholarly journals Modelling complex for surface radar images in the “distance-angle” coordinates

2019 ◽  
Vol 30 ◽  
pp. 15011 ◽  
Author(s):  
Yury Markov ◽  
Alexander Bokov ◽  
Vladimir Vazhenin
Keyword(s):  
Electromagnetic Waves ◽  
Single Channel ◽  
Antenna System ◽  
Synthetic Aperture ◽  
Front Side ◽  
Software Complex ◽  
Radar Images ◽  
Radar Systems ◽  
Different Types ◽  
Synthetic Aperture Radars

The mathematical modelling software complex of monostatic radar systems is discussed in the article. It is aimed to model of typical radar scenarios with various conditions of an electromagnetic waves reflection from terrain. The received signals are used to synthesize radar images (portraits) of surfaces. The structure of the modelling complex allows studying of single-channel and multi-channel synthetic aperture radars with pulse and continuous types of modulation of signals reflected from underlying surfaces of different types. The complex can be useful to simulate radar portraits of the surrounding radar scene’s objects in the native “distance-angle” coordinates, including the nadir direction of the antenna system. The portraits for cases of front-side looking by a wide- pattern antenna in two adjacent directions are modelled and evaluated in the article.

scholarly journals Antagonistic coevolution between multiple quantitative traits: Matching dynamics can arise from difference interactions

2019 ◽  
Author(s):  
Masato Yamamichi ◽  
Kelsey Lyberger ◽  
Swati Patel
Keyword(s):  
Population Ecology ◽  
Special Interest ◽  
Quantitative Traits ◽  
Complex Dynamics ◽  
One Dimensional ◽  
Antagonistic Coevolution ◽  
Number Of Genes ◽  
Different Types ◽  
Multiple Difference ◽  
Trait Space

AbstractCoevolution is one of the major drivers of complex dynamics in population ecology. Historically, antagonistic coevolution in victim-exploiter systems has been a topic of special interest, and involves traits with various genetic architectures (e.g., the number of genes involved) and effects on interactions. For example, exploiters may need to have traits that “match” those of victims for successful exploitation (i.e., a matching interaction), or traits that exceed those of victims (i.e., a difference interaction). Different models exist which are appropriate for different types of traits, including Mendelian (discrete) and quantitative (continuous) traits. For models with multiple Mendelian traits, recent studies have shown that antagonistic coevolutionary patterns that appear as matching interactions can arise due to multiple difference interactions with costs of having large trait values. Here we generalize their findings to quantitative traits and show, analogously, that the multidimensional difference interactions with costs sometimes behave qualitatively the same as matching interactions. While previous studies in quantitative genetics have used the dichotomy between matching and difference frameworks to explore coevolutionary dynamics, we suggest that exploring multidimensional trait space is important to examine the generality of results obtained from one-dimensional traits.

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