We describe the dynamical and bifurcational behavior of two mutually inhibitory, leaky, neural units subject to external stimulus, random noise, and "priming biases". The model describes a simple forced choi...
We describe the dynamical and bifurcational behavior of two mutually inhibitory, leaky, neural units subject to external stimulus, random noise, and "priming biases". The model describes a simple forced choice experiment and accounts for varying levels of expectation and control. By projecting the model's dynamics onto slow manifolds, using judicious linear approximations, and solving for one-dimensional (reduced) probability densities, analytical estimates are developed for reaction time distributions and shown to compare satisfactorily with "full" numerical data. A sensitivity analysis is performed and the effects of parameters assessed. The predictions are also compared with behavioral data. These results may help correlate low-dimensional models of stochastic neural networks with cognitive test data, and hence assist in parameter choices and model building.
This note considers the problem of finding a stable reduced-order model for a given stable model so that its H/sub 2/ model reduction cost differs by less than a prescribed error from the optimal cost, which may or ma...
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This note considers the problem of finding a stable reduced-order model for a given stable model so that its H/sub 2/ model reduction cost differs by less than a prescribed error from the optimal cost, which may or may not be achievable. It is shown that this new version of the long-standing H/sub 2/ optimal model reduction problem can be reduced to a well-posed smooth constrained minimization problem whose global solution is guaranteed to exist. In addition, a globally convergent algorithm in the form of an ordinary differential equation is derived.
The multi-domain pseudospectral time-domain (PSTD) algorithm is extended to model the electromagnetic scattering from 2D buried objects in lossy media. The formulation incorporates a newly developed well-posed PML for...
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The multi-domain pseudospectral time-domain (PSTD) algorithm is extended to model the electromagnetic scattering from 2D buried objects in lossy media. The formulation incorporates a newly developed well-posed PML for lossy media. The numerical results show an excellent agreement with analytical solutions for various canonical problems. The algorithm has been applied to model various GPR applications involving interfaces of arbitrary shape in a lossy half space. Numerical results demonstrate the effectiveness of the multi-domain PSTD algorithm as a new conformal high-order time-domain solver for Maxwell's equation.
This paper reports on an ongoing research project aimed at designing and deploying a COMA Commodity Grid (COG) Kit. The overall goal of this project is to explore how commodity distributed computing technologies and s...
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We use importance sampling to analyze polarization-mode dispersion (PMD) compensators that consist of a single differential-group delay (DGD) element. Using this technique we show that while these compensators improve...
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Addresses the deadlock avoidance problems in manufacturing systems with sequence and route flexibility. It is shown that for a large class of such systems, through one-step look ahead, an optimal deadlock avoidance po...
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ISBN:
(纸本)0780365763
Addresses the deadlock avoidance problems in manufacturing systems with sequence and route flexibility. It is shown that for a large class of such systems, through one-step look ahead, an optimal deadlock avoidance policy can be obtained. For a general system the authors present a system reduction method by which the system is reduced and the reduced system has an optimal deadlock avoidance policy. Using this optimal control policy and restricting the allocation of resources with capacity one, a sub-optimal deadlock avoidance policy for the system is obtained. The proposed policies have polynomial computation complexity.
Given an encoded unknown text message in the form of a three dimensional spatial series generated by the use of four smooth nonlinear functions, we use a method based on simple statistical reasoning to pick up samples...
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ISBN:
(纸本)0780370449
Given an encoded unknown text message in the form of a three dimensional spatial series generated by the use of four smooth nonlinear functions, we use a method based on simple statistical reasoning to pick up samples for rebuilding the four functions. The estimated functions are then used to decode the sequence. The experimental results show that our method gives a nearly perfect decoding, enabling us to submit a 100% accurate solution to the IJCNN challenge problem.
We have shown how importance-sampled Monte-Carlo simulations provide an efficient method for computing the tails of the differential group delay (DGD) probability distribution due to polarization-mode dispersion (PMD)...
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We have shown how importance-sampled Monte-Carlo simulations provide an efficient method for computing the tails of the differential group delay (DGD) probability distribution due to polarization-mode dispersion (PMD). We have also applied this technique to study PMD compensators with an arbitrarily rotatable polarization controller and a single, fixed DGD element, demonstrating that for realistic power penalties the optimal DGD value used in the compensator can be two to three times larger than the mean DGD.
We report an observation of essentially full spatial coherence in a high average power soft-x-ray laser. Rapid coherence buildup due to strong refractive antiguiding in a long plasma column is experimentally demonstra...
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We report an observation of essentially full spatial coherence in a high average power soft-x-ray laser. Rapid coherence buildup due to strong refractive antiguiding in a long plasma column is experimentally demonstrated. This allows the generation of fully coherent, milliwatt-level average power soft-x-ray radiation by a tabletop device. The peak brightness of this laser reaches 2×1025photonss−1mm−2mrad−2 within 0.01% spectral bandwidth, making it one of the brightest soft-x-ray sources available.
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