AIMC Topic: Nonlinear Dynamics

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Basin stability for burst synchronization in small-world networks of chaotic slow-fast oscillators.

Physical review. E, Statistical, nonlinear, and soft matter physics Oct 6, 2015
The impact of connectivity and individual dynamics on the basin stability of the burst synchronization regime in small-world networks consisting of chaotic slow-fast oscillators is studied. It is shown that there are rewiring probabilities correspond...
Oscillometry Neural Networks, Computer Action Potentials Nonlinear Dynamics
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Genetic programming based quantitative structure-retention relationships for the prediction of Kovats retention indices.

Journal of chromatography. A Oct 1, 2015
The development of quantitative structure-retention relationships (QSRR) aims at constructing an appropriate linear/nonlinear model for the prediction of the retention behavior (such as Kovats retention index) of a solute on a chromatographic column....
Neural Networks, Computer Databases, Factual Humans Linear Models Adamantane Nonlinear Dynamics Hydrocarbons Chromatography, Gas
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Nonsmooth Finite-Time Synchronization of Switched Coupled Neural Networks.

IEEE transactions on cybernetics Sep 28, 2015
This paper is concerned with the finite-time synchronization (FTS) issue of switched coupled neural networks with discontinuous or continuous activations. Based on the framework of nonsmooth analysis, some discontinuous or continuous controllers are ...
Computer Simulation Neural Networks, Computer Algorithms Nonlinear Dynamics
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Impact of sub and supra-threshold adaptation currents in networks of spiking neurons.

Journal of computational neuroscience Sep 24, 2015
Neuronal adaptation is the intrinsic capacity of the brain to change, by various mechanisms, its dynamical responses as a function of the context. Such a phenomena, widely observed in vivo and in vitro, is known to be crucial in homeostatic regulatio...
Adaptation, Physiological Potassium Channels, Voltage-Gated Synapses Calcium Channels Cerebral Cortex Nerve Net Neurons Nonlinear Dynamics Action Potentials Nerve Tissue Proteins Humans Neural Networks, Computer Computer Simulation Animals Models, Neurological
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Synchronization of a Class of Switched Neural Networks with Time-Varying Delays via Nonlinear Feedback Control.

IEEE transactions on cybernetics Sep 15, 2015
This paper is concerned with the synchronization problem for a class of switched neural networks (SNNs) with time-varying delays. First, a new crucial lemma which includes and extends the classical exponential stability theorem is constructed. Then b...
Neural Networks, Computer Computer Simulation Nonlinear Dynamics Feedback Time Factors
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High-Density Liquid-State Machine Circuitry for Time-Series Forecasting.

International journal of neural systems Sep 14, 2015
Spiking neural networks (SNN) are the last neural network generation that try to mimic the real behavior of biological neurons. Although most research in this area is done through software applications, it is in hardware implementations in which the ...
Computers Computer Simulation Neural Networks, Computer Machine Learning Time Factors Nonlinear Dynamics Probability
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Rich spectrum of neural field dynamics in the presence of short-term synaptic depression.

Physical review. E, Statistical, nonlinear, and soft matter physics Sep 14, 2015
In continuous attractor neural networks (CANNs), spatially continuous information such as orientation, head direction, and spatial location is represented by Gaussian-like tuning curves that can be displaced continuously in the space of the preferred...
Nonlinear Dynamics Action Potentials Neurons Neuronal Plasticity Models, Neurological Neural Networks, Computer
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A Unified Approach to Adaptive Neural Control for Nonlinear Discrete-Time Systems With Nonlinear Dead-Zone Input.

IEEE transactions on neural networks and learning systems Sep 3, 2015
In this paper, an effective adaptive control approach is constructed to stabilize a class of nonlinear discrete-time systems, which contain unknown functions, unknown dead-zone input, and unknown control direction. Different from linear dead zone, th...
Humans Nonlinear Dynamics Computer Simulation Time Factors Neural Networks, Computer Algorithms
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Regular graphs maximize the variability of random neural networks.

Physical review. E, Statistical, nonlinear, and soft matter physics Sep 3, 2015
In this work we study the dynamics of systems composed of numerous interacting elements interconnected through a random weighted directed graph, such as models of random neural networks. We develop an original theoretical approach based on a combinat...
Neural Networks, Computer Computer Simulation Nonlinear Dynamics
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Nonlinear Inertia Weighted Teaching-Learning-Based Optimization for Solving Global Optimization Problem.

Computational intelligence and neuroscience Sep 2, 2015
Teaching-learning-based optimization (TLBO) algorithm is proposed in recent years that simulates the teaching-learning phenomenon of a classroom to effectively solve global optimization of multidimensional, linear, and nonlinear problems over continu...
Learning Nonlinear Dynamics Problem Solving Humans Teaching Algorithms Artificial Intelligence Computer Simulation
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