AIMC Topic: Computer Simulation

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Surrogate population models for large-scale neural simulations.

Neural computation Mar 16, 2015
Because different parts of the brain have rich interconnections, it is not possible to model small parts realistically in isolation. However, it is also impractical to simulate large neural systems in detail. This article outlines a new approach to m...
Brain Computer Simulation Models, Neurological Humans Neural Networks, Computer Action Potentials Neurons Nerve Net
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Granger causality-based synaptic weights estimation for analyzing neuronal networks.

Journal of computational neuroscience Mar 13, 2015
Granger causality (GC) analysis has emerged as a powerful analytical method for estimating the causal relationship among various types of neural activity data. However, two problems remain not very clear and further researches are needed: (1) The GC ...
Humans Neural Networks, Computer Algorithms Synapses Linear Models Corpus Striatum Gyrus Cinguli Electrophysiological Phenomena Models, Neurological Computer Simulation Action Potentials Causality Nonlinear Dynamics
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A pressure control method for emulsion pump station based on Elman neural network.

Computational intelligence and neuroscience Mar 9, 2015
In order to realize pressure control of emulsion pump station which is key equipment of coal mine in the safety production, the control requirements were analyzed and a pressure control method based on Elman neural network was proposed. The key techn...
Computer Simulation Neural Networks, Computer Regression Analysis Algorithms Safety Management
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A robust computational technique for model order reduction of two-time-scale discrete systems via genetic algorithms.

Computational intelligence and neuroscience Mar 8, 2015
A robust computational technique for model order reduction (MOR) of multi-time-scale discrete systems (single input single output (SISO) and multi-input multioutput (MIMO)) is presented in this paper. This work is motivated by the singular perturbati...
Genetic Phenomena Artificial Intelligence Algorithms Computer Simulation Models, Genetic Signal Processing, Computer-Assisted Nonlinear Dynamics
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Multistability for Delayed Neural Networks via Sequential Contracting.

IEEE transactions on neural networks and learning systems Mar 3, 2015
In this paper, we explore a variety of new multistability scenarios in the general delayed neural network system. Geometric structure embedded in equations is exploited and incorporated into the analysis to elucidate the underlying dynamics. Criteria...
Time Factors Linear Models Neural Networks, Computer Algorithms Computer Simulation Humans
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Error bounds of adaptive dynamic programming algorithms for solving undiscounted optimal control problems.

IEEE transactions on neural networks and learning systems Mar 3, 2015
In this paper, we establish error bounds of adaptive dynamic programming algorithms for solving undiscounted infinite-horizon optimal control problems of discrete-time deterministic nonlinear systems. We consider approximation errors in the update eq...
Neural Networks, Computer Time Factors Artificial Intelligence Nonlinear Dynamics Algorithms Problem Solving Computer Simulation
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H∞ State Estimation for Discrete-Time Delayed Systems of the Neural Network Type With Multiple Missing Measurements.

IEEE transactions on neural networks and learning systems Feb 27, 2015
This paper investigates the H∞ state estimation problem for a class of discrete-time nonlinear systems of the neural network type with random time-varying delays and multiple missing measurements. These nonlinear systems include recurrent neural netw...
Neural Networks, Computer Models, Theoretical Humans Nonlinear Dynamics Computer Simulation Time Factors Stochastic Processes
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Multiple actor-critic structures for continuous-time optimal control using input-output data.

IEEE transactions on neural networks and learning systems Feb 26, 2015
In industrial process control, there may be multiple performance objectives, depending on salient features of the input-output data. Aiming at this situation, this paper proposes multiple actor-critic structures to obtain the optimal control via inpu...
Humans Neural Networks, Computer Algorithms Cognition Computer Simulation Signal Processing, Computer-Assisted Nonlinear Dynamics Time Factors
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Flying over uneven moving terrain based on optic-flow cues without any need for reference frames or accelerometers.

Bioinspiration & biomimetics Feb 26, 2015
Two bio-inspired guidance principles involving no reference frame are presented here and were implemented in a rotorcraft, which was equipped with panoramic optic flow (OF) sensors but (as in flying insects) no accelerometer. To test these two guidan...
Computer Simulation Animals Computer-Aided Design Robotics Equipment Design Flight, Animal Models, Biological Photometry Aircraft Cues Compound Eye, Arthropod Motion Accelerometry Biomimetics Optic Flow Equipment Failure Analysis
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A small-scale hyperacute compound eye featuring active eye tremor: application to visual stabilization, target tracking, and short-range odometry.

Bioinspiration & biomimetics Feb 25, 2015
In this study, a miniature artificial compound eye (15 mm in diameter) called the curved artificial compound eye (CurvACE) was endowed for the first time with hyperacuity, using similar micro-movements to those occurring in the fly's compound eye. A ...
Pattern Recognition, Automated Equipment Failure Analysis Visual Perception Compound Eye, Arthropod Photometry Orientation Equipment Design Models, Biological Biomimetics Computer-Aided Design Robotics Computer Simulation Animals
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