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It is pointed out that these results provide a framework for unifying system-design requirements which call for a worst-case analysis using deterministic inputs subject to energy constraints with requirements based on power-spectral methods.
To our knowledge, ours is the first work to focus on the optimization of inputs, subject to particular constraints, to maximize the number or rate of neuronal output spikes fired.
In this paper, we consider such a problem, namely what is the optimal way to tailor synaptic inputs, subject to certain constraints, to maximize the number of spikes that a neuron will fire?
This paper revisits the problem of enlarging the domain of attraction of a linear system with multiple inputs subject to actuator saturation by designing a switching anti-windup compensator.
For Gaussian fractal functions, which exhibit scaling properties typical of environmental inputs such as atmospheric turbulence and seismic disturbances, an implementation of the variational method is described in the form of a worst-case analysis using families of discrete deterministic inputs subject to power-law constraints.
In their original DEA model, Charnes et al. (CCR model) proposed that the efficiency of a DMU can be obtained as the maximum of a ratio of weighted outputs to weighted inputs, subject to the condition that the same ratio for all DMUs must be less than or equal to one.
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The 'worst-case' output metric is sought by considering nonlinear forces as an external input subject to constraints that capture what is known about the nonlinearity.
The efficiency of the evaluated DMU is obtained as a ratio of its virtual output to its virtual input subject to the condition in which the ratio of each DMU is not greater than 1.
As for a discrete-time system with single input subject to multiplicative noises in [5], the coarsest static quantizer for the system to be quadratically mean-square stabilized is proved to be logarithmic with infinite levels, and the quantization density can be approximated by solving a Riccati equation; comprehensive study on feedback control systems with logarithmic quantizers is not given.
The efficiency analysis developed by Charnes et al. (1978) aims to maximize production efficiency in terms of the ratio of total weighted output to total weighted input, subject to the condition that, in all circumstances, this efficiency measure is smaller than or equal to 1, where the value 1 is representing a maximum efficiency.
To match the quality of the reference image (which is generally fuzzy), all input subject images were smoothed by convolving with an isotropic 8 mm FWHM Gaussian kernel, before registration.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com