AIMC Topic: Nonlinear Dynamics

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Characterisation of nonlinear receptive fields of visual neurons by convolutional neural network.

Scientific reports Mar 7, 2019
A comprehensive understanding of the stimulus-response properties of individual neurons is necessary to crack the neural code of sensory cortices. However, a barrier to achieving this goal is the difficulty of analysing the nonlinearity of neuronal r...
Animals Male Models, Neurological Neural Networks, Computer Photic Stimulation Visual Cortex Sensory Receptor Cells Mice, Inbred C57BL Nonlinear Dynamics
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Finite-Time Convergence Adaptive Neural Network Control for Nonlinear Servo Systems.

IEEE transactions on cybernetics Feb 7, 2019
Although adaptive control design with function approximators, for example, neural networks (NNs) and fuzzy logic systems, has been studied for various nonlinear systems, the classical adaptive laws derived based on the gradient descent algorithm with...
Algorithms Nonlinear Dynamics Computer Simulation Friction Neural Networks, Computer Feedback
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Adaptive Neural Control of a Class of Stochastic Nonlinear Uncertain Systems With Guaranteed Transient Performance.

IEEE transactions on cybernetics Feb 1, 2019
In this paper, an adaptive neural network control for stochastic nonlinear systems with uncertain disturbances is proposed. The neural network is considered to approximate an uncertain function in a nonlinear system. And computational burden in opera...
Stochastic Processes Computer Simulation Nonlinear Dynamics Neural Networks, Computer
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Prediction and identification of discrete-time dynamic nonlinear systems based on adaptive echo state network.

Neural networks : the official journal of the International Neural Network Society Feb 1, 2019
In this paper, a new prediction and identification method based on adaptive echo state network (AESN) is proposed to identify a class of discrete-time dynamic nonlinear systems (DDNS). Firstly, according to the characteristics of input signals, the r...
Neural Networks, Computer Forecasting Time Factors Nonlinear Dynamics
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Motion Planning of Autonomous Mobile Robot Using Recurrent Fuzzy Neural Network Trained by Extended Kalman Filter.

Computational intelligence and neuroscience Jan 29, 2019
This paper proposes a novel motion planning method for an autonomous ground mobile robot to address dynamic surroundings, nonlinear program, and robust optimization problems. A planner based on the recurrent fuzzy neural network (RFNN) is designed to...
Fuzzy Logic Robotics Nonlinear Dynamics Motion Algorithms Mobile Applications Humans Neural Networks, Computer
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Network structure and input integration in competing firing rate models for decision-making.

Journal of computational neuroscience Jan 19, 2019
Making a decision among numerous alternatives is a pervasive and central undertaking encountered by mammals in natural settings. While decision making for two-option tasks has been studied extensively both experimentally and theoretically, characteri...
Electrophysiological Phenomena Nonlinear Dynamics Synapses Decision Making Neurons Humans Neural Networks, Computer Computer Simulation Models, Neurological Algorithms
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An Efficient Population Density Method for Modeling Neural Networks with Synaptic Dynamics Manifesting Finite Relaxation Time and Short-Term Plasticity.

eNeuro Jan 17, 2019
When incorporating more realistic synaptic dynamics, the computational efficiency of population density methods (PDMs) declines sharply due to the increase in the dimension of master equations. To avoid such a decline, we develop an efficient PDM, te...
Animals Time Factors Neuronal Plasticity Neural Networks, Computer Humans Neurons Computer Simulation Nonlinear Dynamics Models, Neurological Population Density Action Potentials
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A small-world topology enhances the echo state property and signal propagation in reservoir computing.

Neural networks : the official journal of the International Neural Network Society Jan 16, 2019
Cortical neural connectivity has been shown to exhibit a small-world (SW) network topology. However, the role of the topology in neural information processing remains unclear. In this study, we investigated the learning performance of an echo state n...
Humans Nonlinear Dynamics Neural Networks, Computer Connectome Brain Memory
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Hindmarsh-Rose neuron model with memristors.

Bio Systems Jan 9, 2019
We analyze single and coupled Hindmarsh-Rose neurons in the presence of a time varying electromagnetic field which results from the exchange of ions across the membrane. Memristors are used to model the relation between magnetic flux of the electroma...
Cell Membrane Ion Exchange Electromagnetic Fields Neurons Nonlinear Dynamics Membrane Potentials Electrical Synapses Humans Models, Neurological Models, Biological Neural Networks, Computer
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Modelling the structure of object-independent human affordances of approaching to grasp for robotic hands.

PloS one Dec 26, 2018
Grasp affordances in robotics represent different ways to grasp an object involving a variety of factors from vision to hand control. A model of grasp affordances that is able to scale across different objects, features and domains is needed to provi...
Hand Strength Robotics Male Hand Humans Models, Theoretical Nonlinear Dynamics Female
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