Search results for "Order and disorder"

showing 10 items of 31 documents

Quantification and automatized adaptive detection of in vivo and in vitro neuronal bursts based on signal complexity.

2015

In this paper, we propose employing entropy values to quantify action potential bursts in electrophysiological measurements from the brain and neuronal cultures. Conventionally in the electrophysiological signal analysis, bursts are quantified by means of conventional measures such as their durations, and number of spikes in bursts. Here our main aim is to device metrics for burst quantification to provide for enhanced burst characterization. Entropy is a widely employed measure to quantify regularity/complexity of time series. Specifically, we investigate the applicability and differences of spectral entropy and sample entropy in the quantification of bursts in in vivo rat hippocampal meas…

Computer scienceQuantitative Biology::Tissues and OrgansAstrophysics::High Energy Astrophysical PhenomenaEntropyCell Culture TechniquesElectrophysiological PhenomenaAction Potentialsta3112HippocampusEntropy (classical thermodynamics)In vivoEntropy (information theory)AnimalsEntropy (energy dispersal)Rats WistarEntropy (arrow of time)ta217NeuronsSignal processingQuantitative Biology::Neurons and Cognitionta213Entropy (statistical thermodynamics)Signal Processing Computer-Assistedadaptive detectionelectrophysiological signal analysisquantificationneuronal burstsElectrophysiological PhenomenaSample entropyElectrophysiologyElectrophysiologyMicroelectrodeBiological systemNeuroscienceMicroelectrodesEntropy (order and disorder)Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
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Thermodynamic properties at the phase transition of Pb(Zr, Sn, Ti)O3solid solutions

2000

Abstract Field induced deformation and electrocaloric effect are investigated in the vicinity of phase transition at 163°C. The sharp increase of electrostriction below Tc is explained by the field induced ferroelectric to antiferroelectric phase transition. The antiferroelectric phase appears and remains stable below Tc in the absence of field. Elastic compliance and thermal expansion as functions of temperature are studied.

Condensed Matter::Materials SciencePhase transitionMaterials scienceCondensed matter physicsElectrostrictionElectrocaloric effectAntiferroelectricityCondensed Matter PhysicsFerroelectricityThermal expansionElectronic Optical and Magnetic MaterialsEntropy (order and disorder)Solid solutionFerroelectrics
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Theory of glass transition in spin glasses, orientational glasses and structural glasses

2008

Theoretical concepts about the glass transition are briefly reviewed, and the test of these ideas by Monte Carlo simulations of simple lattice models is described, with an emphasis on isotropic and anisotropic orientational glasses, and the bond fluctuation model of polymer melts. It is suggested that orientational glasses do have an equilibrium phase transition at zero temperature (in d = 3 dimensions!) only, in contrast to the Ising spin glass which orders at nonzero temperature. A diverging glass correlation length is identified that is responsible for the anomalous slowing down. For the Potts glass, the divergence seems to be exponential, implying that the model is at its lower critical…

Condensed Matter::Soft Condensed MatterMaterials scienceSpin glassCondensed matter physicsLattice (order)Monte Carlo methodIsotropyConfiguration entropyOrder and disorderAnisotropyGlass transitionCondensed Matter::Disordered Systems and Neural Networks
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Modelling of two step high spin⇌low spin transitions using the cluster variation method

1998

Abstract A thermodynamic description of high spin (HS)⇌low spin (LS) transition curves beyond the Bragg–Williams approximation is given using the Kikuchi cluster variation method (CVM). Transition curves of unusual behaviour (i.e. two step transition) are reproduced by short range interaction energies which are present in addition to long range elastic interaction between the spin changing molecules. The correlations in the distribution of the spin changing centers can be expressed analytically. They give rise to a reduced mixing entropy which was found experimentally in compounds with two step transitions.

Condensed matter physicsSpin statesSpin crossoverIsing systemChemistryTwo stepMoleculeGeneral Materials ScienceIsing modelGeneral ChemistryCondensed Matter PhysicsEntropy (order and disorder)Journal of Physics and Chemistry of Solids
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Connectivity Influences on Nonlinear Dynamics in Weakly-Synchronized Networks: Insights from Rössler Systems, Electronic Chaotic Oscillators, Model a…

2019

Natural and engineered networks, such as interconnected neurons, ecological and social networks, coupled oscillators, wireless terminals and power loads, are characterized by an appreciable heterogeneity in the local connectivity around each node. For instance, in both elementary structures such as stars and complex graphs having scale-free topology, a minority of elements are linked to the rest of the network disproportionately strongly. While the effect of the arrangement of structural connections on the emergent synchronization pattern has been studied extensively, considerably less is known about its influence on the temporal dynamics unfolding within each node. Here, we present a compr…

Correlation dimensionCollective behaviornonlinear dynamicGeneral Computer ScienceComputer scienceNetwork topologyTopology01 natural sciencesnetwork topology010305 fluids & plasmasnode degreeRössler systemEntropy (classical thermodynamics)nonlinear dynamicschaotic transition0103 physical sciencesEntropy (information theory)Attractor dimensionGeneral Materials Sciencestructural connectivity010306 general physicsprediction errorstochastic dynamicsGeneral EngineeringSaito oscillatorelectronic chaotic oscillatorComplex networkNonlinear systemneuronal culturestochastic dynamicnodal strengthChaotic oscillatorscomplexityentropysynchronizationEntropy (order and disorder)
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Aggregation Behavior of Halogenated Squaraine Dyes in Buffer, Electrolytes, Organized Media, and DNA

2002

Aggregation properties of bis(3,5-dibromo-2,4,6-trihydroxyphenyl)squaraine (1) and bis(3,5-diiodo-2,4,6-trihydroxyphenyl)squaraine (2) have been examined in buffer and in the presence of electrolytes, β-cyclodextrin, micelles and DNA. These dyes were found to form aggregates in buffer and methanol−water solutions that have absorption bands blue-shifted to those of the monomeric forms. The iodo derivative 2 forms aggregates at much lower concentrations (1.7 × 10-6 M) compared to the bromo derivative 1 (2.35 × 10-6 M) in 20% (vol/vol) methanol−buffer solution. Increase in methanol concentration in methanol−water solutions resulted in the disruption of the aggregates. The intermediate dimer in…

DimerElectrolyteMicelleSurfaces Coatings and FilmsGibbs free energychemistry.chemical_compoundsymbols.namesakeMonomerchemistryPolymer chemistryMaterials ChemistrysymbolsOrganic chemistryMethanolPhysical and Theoretical ChemistryDNAEntropy (order and disorder)The Journal of Physical Chemistry B
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Multiscale analysis of information dynamics for linear multivariate processes.

2016

In the study of complex physical and physiological systems represented by multivariate time series, an issue of great interest is the description of the system dynamics over a range of different temporal scales. While information-theoretic approaches to the multiscale analysis of complex dynamics are being increasingly used, the theoretical properties of the applied measures are poorly understood. This study introduces for the first time a framework for the analytical computation of information dynamics for linear multivariate stochastic processes explored at different time scales. After showing that the multiscale processing of a vector autoregressive (VAR) process introduces a moving aver…

FOS: Computer and information sciencesInformation transferMultivariate statisticsMultivariate analysisComputer scienceComputer Science - Information Theory0206 medical engineeringStochastic ProcesseBiomedical EngineeringFOS: Physical sciencesInformation Storage and RetrievalHealth Informatics02 engineering and technology01 natural sciencesEntropy (classical thermodynamics)Moving average0103 physical sciencesEntropy (information theory)Computer SimulationStatistical physicsEntropy (energy dispersal)Time series010306 general physicsEntropy (arrow of time)Multivariate Analysi1707Stochastic ProcessesEntropy (statistical thermodynamics)Stochastic processInformation Theory (cs.IT)Probability and statisticsModels Theoretical020601 biomedical engineeringComplex dynamicsAutoregressive modelPhysics - Data Analysis Statistics and ProbabilitySignal ProcessingSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaMultivariate AnalysisData Analysis Statistics and Probability (physics.data-an)Entropy (order and disorder)Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
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Compensating for instantaneous signal mixing in transfer entropy analysis of neurobiological time series

2013

The transfer entropy (TE) has recently emerged as a nonlinear model-free tool, framed in information theory, to detect directed interactions in coupled processes. Unfortunately, when applied to neurobiological time series TE is biased by signal cross-talk due to volume conduction. To compensate for this bias, in this study we introduce a modified TE measure which accounts for possible instantaneous effects between the analyzed time series. The new measure, denoted as compensated TE (cTE), is tested on simulated time series reproducing conditions typical of neuroscience applications, and on real magnetoencephalographic (MEG) multi-trial data measured during a visuo-tactile cognitive experime…

Information transferTime FactorsComputer scienceEntropySpeech recognitionBiomedical EngineeringHealth InformaticsInformation theoryEntropy (classical thermodynamics)medicineHumansEntropy (information theory)Computer SimulationNervous System Physiological PhenomenaEntropy (energy dispersal)Entropy (arrow of time)Visual Cortex1707Entropy (statistical thermodynamics)MagnetoencephalographySignal Processing Computer-AssistedSomatosensory CortexNonlinear systemVisual cortexmedicine.anatomical_structureSignal ProcessingSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaTransfer entropyAlgorithmEntropy (order and disorder)
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Incoherent solitons and condensation processes

2006

International audience; We study the nonlinear interaction of partially incoherent nonlinear optical waves. We show that, in spite of the incoherence of the waves, coherent phase effects may play a relevant role during the propagation, in contrast with the usual wave turbulence description of the interaction. These nonlinear phase effects may lead the system to unexpected processes of self-organization, such as condensation, or incoherent soliton generation in instantaneous response nonlinear media. Such self-organization processes may be characterized by a reduction of the non-equilibrium entropy, which violates the Boltzmann's H-theorem of entropy growth inherent to the wave turbulence th…

Kerr effectWave turbulencePhase (waves)General Physics and Astronomy01 natural sciences010305 fluids & plasmas010309 opticssymbols.namesakeQuantum mechanics0103 physical sciences010306 general physicsSelf-organizationPhysics[PHYS.PHYS.PHYS-OPTICS]Physics [physics]/Physics [physics]/Optics [physics.optics][ PHYS.PHYS.PHYS-OPTICS ] Physics [physics]/Physics [physics]/Optics [physics.optics]Silicon photonicsTurbulenceCross-phase modulationCondensation processCondensationNonlinear opticsUltrafast opticsPhotorefractive effectNonlinear systemClassical mechanicsOptical propagationBoltzmann constantsymbolsSolitonEntropy (order and disorder)Coherence (physics)2005 Quantum Electronics and Laser Science Conference
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Application of multivariant decision tree technique in high performance football: The female and male corner kick.

2019

The use of multidimensional statistical technique based on decision trees is of recent application in sports science. In the case of football, this technique has not yet been sufficiently proven. The aim of the present study was to search for different success models for the cor- ners in the FIFA World Cup 2014 and FIFA Women's World Cup 2015. For this, the statistical analysis focused on the search for classification models for the different criteria considered (shot, shot between the three posts and goal), based on the creation of different decision trees that allow the most important variables to be identified quickly and efficiently. For this, 1117 corners were collected between the two…

MaleMultivariate statisticsDecision AnalysisComputer scienceEntropyDonesSocial SciencesFootballcomputer.software_genreSystems Science0302 clinical medicineMathematical and Statistical TechniquesPsychologyEntropy (energy dispersal)MultidisciplinaryEntropy (statistical thermodynamics)PhysicsQStatisticsRSoftware EngineeringMenSports ScienceDynamical SystemsPhysical SciencesMedicineEngineering and TechnologyThermodynamicsFemaleGamesManagement EngineeringResearch ArticleSportsAdultComputer and Information SciencesSports scienceScienceDecision treeAthletic PerformanceMachine learningResearch and Analysis Methods03 medical and health sciencesEntropy (classical thermodynamics)SoccerEntropy (information theory)HumansWomenStatistical MethodsEntropy (arrow of time)Behaviorbusiness.industrySoftware ToolsDecision TreesOffensiveBiology and Life Sciences030229 sport sciencesMultiple criteria decision makingFutbolHomesPresa de decisions multicriteriRecreationArtificial intelligencebusinesscomputer030217 neurology & neurosurgeryMathematicsEntropy (order and disorder)ForecastingPloS one
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