Search results for "General Computer Science"

showing 10 items of 895 documents

Study on the transient characteristic in the human visual system using masking experiments

1979

In this paper the visual masking effect is interpreted on the basic of the transient characteristic in two dimensional neuronal networks. The study investigates the suitability of the effect for use as a measurement method. It is shown that the stimulus distribution in space can be scanned at different points in time and that various dynamic characteristic values of the system can be measured.

NeuronsMeasurement methodTime FactorsGeneral Computer ScienceComputer sciencebusiness.industryModels NeurologicalNeural ConductionComplex systemNeural InhibitionStimulus (physiology)Pattern Recognition VisualVisual maskingHuman visual system modelVisual PerceptionHumansVisual PathwaysComputer visionArtificial intelligenceNerve NetBiological systembusinessPhotic StimulationBiotechnologyBiological Cybernetics
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Model predictions of the ionic mechanisms underlying the beating and bursting pacemaker characteristics of molluscan neurons

1976

The general properties of the excitable membrane on molluscan pacemaker neurons can be described on the basis of a fair amount of experimental evidence available in the literature. The neuronal membrane exhibits under voltage clamp an initial inward current carried by both Na+ and Ca2+ ions, the time- and voltage-dependent characteristics of which are similar to that of other excitable structures. The conductance mechanism for the two ion species and the transport kinetics appear to be closely similar. The time course and amplitude of the delayed outward current carried by K+ ions shows a marked dependence on the membrane potential. Characteristic for the molluscan neurons is the existence …

NeuronsMembrane potentialPhysicsCardiac transient outward potassium currentGeneral Computer ScienceVoltage clampModels NeurologicalSnailsElectric ConductivityAction PotentialsConductanceCations MonovalentHyperpolarization (biology)BurstingPacemaker potentialAmplitudeElectronic engineeringBiophysicsAnimalsBiotechnologyBiological Cybernetics
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Neuronal network characteristics in the cat superior colliculus

1977

The system theoretical description of the superficial layers of neurons in the cat's superior colliculus is based on homogeneous linear space-time filters. The most important neurophysiological findings on the superior colliculus are simulated on the digital computer by generating suitable coupling functions and matching the space and time parameters. It is shown that the neurophysiological measurements can be interpreted by varying a few system parameters. The curves of velocity dependent responses, direction specificity and the effects of the colliculus specific surround are examined in particular. Computer simulation shows that such a surround can evaluate small moving stimuli differentl…

NeuronsPhysicsSuperior ColliculiSystems AnalysisVisual perceptionGeneral Computer ScienceComputersSuperior colliculusModels NeurologicalMotion PerceptionNeural InhibitionNeural InhibitionNeurophysiologyCoupling (electronics)CatsVisual PerceptionSuperior ColliculiBiological neural networkAnimalsMotion perceptionNeurosciencePhotic StimulationBiotechnologyBiological Cybernetics
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Stabilization for a class of nonlinear networked control systems via polynomial fuzzy model approach

2014

This article is concerned with the stabilization problem for nonlinear networked control systems which are represented by polynomial fuzzy models. Two communication features including signal transmission delays and data missing are taken into account in a network environment. To solve the network-induced communication problems, a novel sampled-data fuzzy controller is designed to guarantee that the closed-loop system is asymptotically stable. The stability and stabilization conditions are presented in terms of sum of squares SOS, which can be numerically solved via SOSTOOLS. Finally, a simulation example is provided to demonstrate the feasibility of the proposed method. © 2014 Wiley Periodi…

Nonlinear systemMathematical optimizationPolynomialMultidisciplinaryGeneral Computer ScienceControl theoryControl systemStability theoryExplained sum of squaresStability (learning theory)Fuzzy logicMathematicsComplexity
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A Comparative Analysis of Residual Block Alternatives for End-to-End Audio Classification

2020

Residual learning is known for being a learning framework that facilitates the training of very deep neural networks. Residual blocks or units are made up of a set of stacked layers, where the inputs are added back to their outputs with the aim of creating identity mappings. In practice, such identity mappings are accomplished by means of the so-called skip or shortcut connections. However, multiple implementation alternatives arise with respect to where such skip connections are applied within the set of stacked layers making up a residual block. While residual networks for image classification using convolutional neural networks (CNNs) have been widely discussed in the literature, their a…

Normalization (statistics)General Computer ScienceComputer scienceFeature extractionESC02 engineering and technologycomputer.software_genreResidualConvolutional neural networkconvolutional neural networks0202 electrical engineering electronic engineering information engineeringGeneral Materials Scienceurbansound8kAudio signal processingBlock (data storage)Contextual image classificationGeneral EngineeringAudio classification020206 networking & telecommunications113 Computer and information sciences020201 artificial intelligence & image processinglcsh:Electrical engineering. Electronics. Nuclear engineeringData mininglcsh:TK1-9971computerresidual learningIEEE Access
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On Fibrations Between Internal Groupoids and Their Normalizations

2018

We characterize fibrations and $$*$$ -fibrations in the 2-category of internal groupoids in terms of the comparison functor from certain pullbacks to the corresponding strong homotopy pullbacks. As an application, we deduce the internal version of the Brown exact sequence for $$*$$ -fibrations from the internal version of the Gabriel–Zisman exact sequence. We also analyse fibrations and $$*$$ -fibrations in the category of arrows and study when the normalization functor preserves and reflects them. This analysis allows us to give a characterization of protomodular categories using strong homotopy kernels and a generalization of the Snake Lemma.

Normalization (statistics)Pure mathematicsInternal groupoid Fibration Strong h-pullback Protomodular categoryGeneral Computer ScienceFibrationSnake lemmaStrong h-pullbackMathematics::Algebraic Topology01 natural sciencesTheoretical Computer ScienceMathematics::Algebraic GeometryMathematics::K-Theory and HomologyMathematics::Category Theory0103 physical sciences0101 mathematicsMathematics::Symplectic GeometryMathematicsExact sequenceInternal groupoidAlgebra and Number TheoryFunctorHomotopy010102 general mathematicsFibrationInternal versionSettore MAT/02 - AlgebraProtomodular categoryTheory of computation010307 mathematical physicsApplied Categorical Structures
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Mathematical and numerical analysis of initial boundary valueproblem for a linear nonlocal equation

2019

We propose and study a numerical scheme for bounded distributional solutions of the initial boundary value problem for the anomalous diffusion equation ∂t u +Lμu = 0 in a bounded domain supplemented with inhomogeneous boundary conditions. Here Lμ is a class of nonlocal operators including fractional Laplacian. ⃝c 2019 InternationalAssociation forMathematics andComputers in Simulation (IMACS). Published by ElsevierB.V.All rights reserved.

Numerical AnalysisGeneral Computer ScienceAnomalous diffusionApplied MathematicsNumerical analysisMathematical analysisDomain (mathematical analysis)Theoretical Computer ScienceModeling and SimulationScheme (mathematics)Bounded functionFractional Laplacian; Numerical method; Anomalous diffusion equation; Boundary value problemBoundary value problemFractional LaplacianMathematicsMathematics and Computers in Simulation
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A normalized iterative Smoothed Particle Hydrodynamics method

2020

Abstract In this paper we investigate on a normalized iterative approach to improve the Smoothed Particle Hydrodynamics (SPH) estimate of a function. The method iterates on the residuals of an initial SPH approximation to obtain a more accurate solution. The iterative strategy preserves the matrix-free nature of the method, does not require changes on the kernel function and it is not affected by disordered data distribution. The iterative refinement is further improved by ensuring linear approximation order to the starting iterative values. We analyze the accuracy and the convergence of the method with the standard and normalized formulation giving evidence of the enhancements obtained wit…

Numerical AnalysisGeneral Computer ScienceApplied Mathematics010103 numerical & computational mathematics02 engineering and technologyFunction (mathematics)01 natural sciencesDomain (mathematical analysis)Theoretical Computer ScienceSmoothed-particle hydrodynamicsSettore MAT/08 - Analisi NumericaDistribution (mathematics)Iterated residuals Normalized Smoothed Particle Hydrodynamics Accuracy ConvergenceIterated functionIterative refinementModeling and SimulationConvergence (routing)0202 electrical engineering electronic engineering information engineeringApplied mathematics020201 artificial intelligence & image processingLinear approximation0101 mathematicsMathematics
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Hybrid model of an inventer-induction motor system

1969

A model of the three-phase bridge inverter with a wide range of validity is proposed. This model can be used for the simulation of the inverter induction motor system on a hybrid computer or an analogue computer. In the latter case it is necessary to achieve a logical device which realizes the inverter model. After a block diagram for the simulation of the inverter induction motor system is illustrated as well as the circuital diagram of the device which simulates the inverter. Finally the authors describe the tests carried out in order to verify the validity of the inverter model and the correct operating of the device which simulates the inverter.

Numerical AnalysisGeneral Computer ScienceComputer scienceApplied MathematicsAnalog computerDiagramBlock diagramBridge (nautical)Theoretical Computer Sciencelaw.inventionControl theorylawModeling and SimulationHybrid computerInverterHybrid modelInduction motorMathematics and Computers in Simulation
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Electrophoretic properties of charged colloidal suspensions: Application of a hybrid MD/LB method

2006

Abstract Electrophoretic properties of charged colloidal suspensions are investigated using a hybrid simulation method. In this method, the colloidal particles are propagated via Newton’s equations of motion using molecular dynamics (MD), while they are coupled to a structureless solvent that is modelled by the Lattice-Boltzmann (LB) method.

Numerical AnalysisMaterials scienceGeneral Computer ScienceApplied Mathematicsdigestive oral and skin physiologyEquations of motionTheoretical Computer ScienceCondensed Matter::Soft Condensed MatterSolventElectrophoresisMolecular dynamicsColloidClassical mechanicsChemical physicsColloidal particleModeling and SimulationMathematics and Computers in Simulation
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