scholarly journals SYNCHRONIZATION OF COUPLED NEURAL OSCILLATORS WITH HETEROGENEOUS DELAYS

2013 ◽  
Vol 23 (12) ◽  
pp. 1330039 ◽  
Author(s):  
ANASTASIIA PANCHUK ◽  
DAVID P. ROSIN ◽  
PHILIPP HÖVEL ◽  
ECKEHARD SCHÖLL
Keyword(s):  
Autocorrelation Function ◽  
Time Delays ◽  
Numerical Results ◽  
Neural Systems ◽  
Compound System ◽  
Neural Oscillators ◽  
Variable Period ◽  
Different Types ◽  
Coupling Strengths ◽  
Heterogeneous Delays

We investigate the effects of heterogeneous delays on the coupling of two excitable neural systems. Depending upon the coupling strengths and the time delays in the mutual and self-coupling systems, the compound system exhibits different types of synchronized oscillations of variable period. We analyze this synchronization based on the interplay of the different time delays and support the numerical results by analytical findings. In addition, we elaborate on bursting-like dynamics with two competing timescales on the basis of the autocorrelation function.

Exponential lag function projective synchronization of memristor-based multidirectional associative memory neural networks via hybrid control

2018 ◽  
Vol 32 (09) ◽  
pp. 1850116 ◽  
Author(s):  
Manman Yuan ◽  
Weiping Wang ◽  
Xiong Luo ◽  
Lixiang Li ◽  
Jürgen Kurths ◽  
...  
Keyword(s):  
Neural Networks ◽  
Associative Memory ◽  
Time Delays ◽  
Hybrid Control ◽  
Projective Synchronization ◽  
Mixed Delays ◽  
Time Varying ◽  
Function Projective Synchronization ◽  
Different Types ◽  
Discrete Delays

This paper is concerned with the exponential lag function projective synchronization of memristive multidirectional associative memory neural networks (MMAMNNs). First, we propose a new model of MMAMNNs with mixed time-varying delays. In the proposed approach, the mixed delays include time-varying discrete delays and distributed time delays. Second, we design two kinds of hybrid controllers. Traditional control methods lack the capability of reflecting variable synaptic weights. In this paper, the controllers are carefully designed to confirm the process of different types of synchronization in the MMAMNNs. Third, sufficient criteria guaranteeing the synchronization of system are derived based on the derive-response concept. Finally, the effectiveness of the proposed mechanism is validated with numerical experiments.

Thermoelastic Bending Response of Angel-Ply Composite Plates Resting on Elastic Foundations

2013 ◽  
Vol 22 (2) ◽  
pp. 096369351302200
Author(s):  
Ashraf M. Zenkour ◽  
Ibrahim A. Abbas
Keyword(s):  
Composite Plate ◽  
Composite Plates ◽  
Numerical Results ◽  
Elastic Foundations ◽  
Different Types ◽  
Thermoelastic Response ◽  
Pasternak’S Model ◽  
Sinusoidal Temperature ◽  
Bending Response ◽  
Thermoelastic Bending

Different plate theories are presented to study the thermoelastic response of a multilayered angle-ply composite plate. The plate is subjected to a sinusoidal temperature and resting on different types of elastic foundations. The effects due to thermal loads and elastic foundations parameters as well as the variation of lamination angle are studied. Numerical results suggest that Pasternak's model should be used for such plates resting on elastic foundations.

scholarly journals Dynamics of Neural Systems with Discrete and Distributed Time Delays

2015 ◽  
Vol 14 (4) ◽  
pp. 2069-2095 ◽  
Author(s):  
B. Rahman ◽  
K. B. Blyuss ◽  
Y. N. Kyrychko
Keyword(s):  
Time Delays ◽  
Neural Systems ◽  
Distributed Time Delays

Stability and Vibrations of Geometrically Nonlinear Cylindrically Orthotropic Circular Plates

1984 ◽  
Vol 51 (2) ◽  
pp. 354-360 ◽  
Author(s):  
D. Shilkrut
Keyword(s):  
Stability Analysis ◽  
Qualitative Methods ◽  
Dynamic Method ◽  
Numerical Results ◽  
Geometrically Nonlinear ◽  
Circular Plates ◽  
Different Types ◽  
The Stability ◽  
Thermal Influence ◽  
Cylindrically Orthotropic

The stability analysis of axisymmetrical equilibrium states of geometrically nonlinear, orthotropic, circular plates that are deformed by multiparameter loading, including thermal influence, is presented. The dynamic method (method of small vibrations) is used to accomplish this purpose. The behavior of the plate in different cases is revealed. In particular, it is shown that two different types of snapping processes can occur. The values of frequencies of small eigenvibrations from various cases have been calculated. These investigations are realized by numerical and qualitative methods. Here only the numerical results are presented.

Disfluencies in the analysis of speech data

1996 ◽  
Vol 8 (1) ◽  
pp. 1-12 ◽  
Author(s):  
Anthony Julius Naro ◽  
Maria Marta Pereira Scherre
Keyword(s):  
Brazilian Portuguese ◽  
Numerical Results ◽  
Factor Group ◽  
Language Learner ◽  
Speech Data ◽  
Different Types ◽  
Rule Analysis

ABSTRACTIn our study of concord phenomena in spoken Brazilian Portuguese we found disfluencies, including apparent corrections, in about 15% of the relevant tokens in our corpus of recorded speech data. Disfluencies have very little effect on the rate of marking. When fluency is included in a variable rule analysis as a factor group containing categories for different types of disfluency, as well as for data without any disfluency, it is not selected as statistically significant. Furthermore, separate analyses of all data, only fluent data, and only disfluent data revealed no significant changes in the numerical results obtained for other factor groups. We conclude that, at least insofar as the variable phenomena we studied are concerned, speech is not overly laden with errors; there is nothing in the data to mislead the language learner.

scholarly journals DYNAMICS BETWEEN ORDER AND CHAOS IN A SIMPLE REENTRANT MODEL OF PRODUCTION DYNAMICS

2003 ◽  
Vol 13 (05) ◽  
pp. 1343-1351 ◽  
Author(s):  
I. KATZORKE ◽  
A. PIKOVSKY
Keyword(s):  
Autocorrelation Function ◽  
Manufacturing Process ◽  
Processing Times ◽  
Different Types ◽  
One Machine ◽  
Production Dynamics

We consider a simple reentrant model of a manufacturing process, consisting of one machine at which two different types of items have to be processed. The model is completely deterministic: all delivery and processing times are fixed, and are generally incommensurate. Dependent on the arrival and processing times, a queue of waiting items grows, remains constant or disappears. We demonstrate that the dynamics of the system crucially depends on the queue type. Complexity is most observed for the case of growing queue. We characterize this dynamics between order and chaos with the T-entropy and the autocorrelation function.

scholarly journals Simulation Study of Topological Structures and Node Coordinations for Deterministic WSN with TSCH

2017 ◽  
Vol 1 (4) ◽  
pp. 115 ◽  
Author(s):  
Vijaya Perumalla ◽  
B. Seetha Ramanjaneyulu ◽  
Ashok Kolli
Keyword(s):  
Simulation Study ◽  
Time Delays ◽  
Frequency Hopping ◽  
Multihop Networks ◽  
Wireless Sensor ◽  
Multiple Channels ◽  
Promising Technique ◽  
Different Types ◽  
Channel Hopping ◽  
Multiple Frequencies

Time-Slotted Channel hopping (TSCH) that was introduced in IEEE802.15.4e is a promising technique to offer deterministic data deliveries in Wireless Sensor Networks (WSN). Its main strength lies in using multiple channels for the transmissions, using frequency hopping method. However, it takes more time for initializing the network, as beacons have to be released on multiple frequencies and scanning needs to be carried out by the devices in all those frequencies for joining the network. In this work, a simulation study is carried out to investigate the effect of these delays for different types of multihop networks. The benefit of introducing multiple coordinators in reducing these time delays is also studied. It is found that the delays are increasing linearly with the number of hops in the network and adding an additional coordinator can bring down the initialization time by half.

Computations by different types of brain, and by artificial neural systems

2020 ◽  
pp. 609-633
Author(s):  
Edmund T. Rolls
Keyword(s):  
Food Intake ◽  
Brain Function ◽  
Neural Systems ◽  
Different Types ◽  
Computer Scientists ◽  
Artificial Neural Systems ◽  
Artificial Neural ◽  
Human Brains ◽  
The Brain ◽  
Intake Control

In this Chapter a comparison is made between computations in the brain and computations performed in computers. This is intended to be helpful to those engineers, computer scientists, AI specialists et al interested in designing new computers that emulate aspects of brain function. In fact, the whole of this book is intended to be useful for this aim, by setting out what is computed by different brain systems, and what we know about how it is computed. It is essential to know this if an emulation of brain function is to be performed, and this is important to enable this group of scientists to bring their expertise to help understand brain function more. The Chapter also considers the levels of investigation, which include the computational, necessary to understand brain function; and some applications of this understanding, to for example how our developing understanding is relevant to understanding disorders, including for example of food intake control leading to obesity. Finally, Section 19.10 makes it clear why the focus of this book is on computations in primate (and that very much includes human) brains, rather than on rodent (rat and mice) brains. It is because the systems-level organization of primate including human brains is quite different from that in rodents, in many fundamental ways that are described.

THEORETICAL ANALYSIS ON NEURAL OSCILLATOR TOWARD BIOMIMIC ROBOT CONTROL

2007 ◽  
Vol 04 (04) ◽  
pp. 697-715 ◽  
Author(s):  
DINGGUO ZHANG ◽  
KUANYI ZHU
Keyword(s):  
Theoretical Analysis ◽  
Robot Control ◽  
Piecewise Linear ◽  
Neural Oscillator ◽  
Robotic Control ◽  
Rhythmic Movements ◽  
Motor Patterns ◽  
Neural Oscillators ◽  
Different Types

Neural oscillator is derived from the central pattern generator (CPG) in the biological nervous system. It can generate motor patterns for the rhythmic movements. Neural oscillator is widely adopted in biomimic robot and humanoid robot for different types of rhythmic movement controls such as swimming and walking. Theoretical analysis about neural oscillator toward biomimic robot control is presented in this paper. The methods adopted here include stability theory, describing function, and piecewise linear analysis. Some important properties of the neural oscillator, such as the determination of frequency, oscillation, and stability, are exploited. Network property of multiple neural oscillators is also studied. The insightful results will strengthen the foundation of the neural oscillator and enhance its efficient application for robotic control purpose.

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