Search results for "Redundancy"

showing 10 items of 100 documents

Measuring High-Order Interactions in Rhythmic Processes Through Multivariate Spectral Information Decomposition

2021

Many complex systems in physics, biology and engineering are modeled as dynamical networks and described using multivariate time series analysis. Recent developments have shown that the emergent dynamics of a network system are significantly affected by interactions involving multiple network nodes which cannot be described using pairwise links. While these higher-order interactions can be probed using information-theoretic measures, a rigorous framework to describe them in the frequency domain is still lacking. This work presents an approach for the spectral decomposition of multivariate information measures, capable of identifying higher-order synergistic and redundant interactions betwee…

Brain modelingMultivariate statisticsTechnology and EngineeringGeneral Computer ScienceTime series analysiComplex systemTIME-SERIESHEART-RATETime series analysisEEG analysisInformation theoryMOTOR IMAGERYMatrix decompositionCouplingFrequency-domain analysiRedundancyelectronic oscillatorsRedundancy (engineering)General Materials ScienceNETWORKTime domainFrequency-domain analysissignal processingTEMPERATUREParametric statisticsinformation theoryPhysicsFEEDBACKGeneral Engineeringclimate dynamicsTime measurementspectral analysisTK1-9971Mathematics and Statisticshigh-order interactionsconnectivityFrequency domainCouplingsElectrical engineering. Electronics. Nuclear engineeringBiological systeminformation dynamicsCoherenceIEEE Access
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The TileCal Optical Multiplexer Board 9U

2011

Abstract TileCal is the hadronic calorimeter of the ATLAS experiment at LHC/CERN. The system contains roughly 10,000 channels of read-out electronics, whose signals are gathered and digitized in the front-end electronics and then transmitted to the counting room through two redundant optical links. Then, the data is received in the back-end system by the Optical Multiplexer Board (OMB) 9U which performs a CRC check to the redundant data to avoid Single Event Upsets errors. A real-time decision is taken on the event-to-event basis to transmit single data to the Read-Out Drivers (RODs) for processing. Due to the low dose level expected during the first years of operations in ATLAS it was deci…

CalorimeterLarge Hadron Colliderbusiness.industryComputer scienceDetectorATLAS experimentPhysics and Astronomy(all)ATLASMultiplexerCRCData acquisitionSoftwareCyclic redundancy checkLHCElectronicsDetectors and Experimental TechniquesbusinessSingle Event UpsetsFPGAComputer hardwarePhysics Procedia
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A novel cell model to study the function of the adrenoleukodystrophy-related protein

2006

X-linked adrenoleukodystrophy (X-ALD) is a neurodegenerative disorder due to mutations in the ABCD1 (ALD) gene. ALDRP, the closest homolog of ALDP, has been shown to have partial functional redundancy with ALDP and, when overexpressed, can compensate for the loss-of-function of ALDP. In order to characterize the function of ALDRP and to understand the phenomenon of gene redundancy, we have developed a novel system that allows the controlled expression of the ALDRP-EGFP fusion protein (normal or non-functional mutated ALDRP) using the Tet-On system in H4IIEC3 rat hepatoma cells. The generated stable cell lines express negligible levels of endogenous ALDRP and doxycycline dosage-dependent lev…

Carcinoma Hepatocellularendocrine system diseasesRecombinant Fusion ProteinsBiophysicsGene redundancyATP-binding cassette transporterContext (language use)BiologyATP Binding Cassette Transporter Subfamily DProtein EngineeringTransfectionBiochemistryCell Line TumormedicineAnimalsAdrenoleukodystrophyMolecular BiologyGeneCell BiologyPeroxisomemedicine.diseaseFusion proteinRatsCell biologyDisease Models AnimalBiochemistryATP-Binding Cassette TransportersAdrenoleukodystrophyFunction (biology)
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A new Framework for the Spectral Information Decomposition of Multivariate Gaussian Processes

2021

: Different information-theoretic measures are available in the literature for the study of pairwise and higher-order interactions in multivariate dynamical systems. While these measures operate in the time domain, several physiological and non-physiological systems exhibit a rich oscillatory content that is typically analyzed in the frequency domain through spectral and cross-spectral approaches. For Gaussian systems, the relation between information and spectral measures has been established considering coupling and causality measures, but not for higher-order interactions. To fill this gap, in this work we introduce an information-theoretic framework in the frequency domain to quantify t…

CausalityTime-frequency analysisTime series analysisRedundancyGaussian processesTime measurementPhysiologyElectroencephalographySettore ING-INF/06 - Bioingegneria Elettronica E InformaticaNormal DistributionHumansSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)
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Dimensionality reduction via regression on hyperspectral infrared sounding data

2014

This paper introduces a new method for dimensionality reduction via regression (DRR). The method generalizes Principal Component Analysis (PCA) in such a way that reduces the variance of the PCA scores. In order to do so, DRR relies on a deflationary process in which a non-linear regression reduces the redundancy between the PC scores. Unlike other nonlinear dimensionality reduction methods, DRR is easy to apply, it has out-of-sample extension, it is invertible, and the learned transformation is volume-preserving. These properties make the method useful for a wide range of applications, especially in very high dimensional data in general, and for hyperspectral image processing in particular…

Clustering high-dimensional dataRedundancy (information theory)business.industryDimensionality reductionPrincipal component analysisFeature extractionNonlinear dimensionality reductionHyperspectral imagingPattern recognitionArtificial intelligencebusinessMathematicsCurse of dimensionality2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)
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Putting information back into biological communication.

2010

At the heart of many debates on communication is the concept of information. There is an intuitive sense in which communication implies the transfer of some kind of information, probably the reason why information is an essential ingredient in most definitions of communication. However, information has also been an endless source of misunderstandings, and recent accounts have proposed that information should be dropped from a formal definition of communication. In this article, we re-evaluate the merits and the internal logic of information-based vs. information-free approaches and conclude that information-free approaches are conceptually incomplete and operationally hindered. Instead, we …

Cognitive scienceScope (project management)Redundancy (linguistics)BiologyBiological EvolutionReferential communicationAnimal CommunicationInformative contentTerminology as TopicAnimalsEcology Evolution Behavior and SystematicsInternal logicFormal descriptionDiversity (business)Journal of evolutionary biology
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David Marr: A Theory for Cerebral Neocortex

1986

This paper is an important contribution to the understanding of the visual system, it contains a part of those ideas which have become the commonly accepted basis of current research. Although some of these principles already had a history in 1970, Marr clearly deserves the credit for their sharp formulation and for a series of attempts leading to a formalization of the problems. His way of dividing the approach into the levels of computational theory, of the algorithm and of the implementation clarified the problems. His creed that human visual processing is modular, and that different types of information, which are encoded in the image can be decoded independently by modules, has been ge…

Cognitive scienceVisual processingStructure (mathematical logic)HierarchyConstant (computer programming)Computer scienceConcept learningTheory of computationRedundancy (engineering)Abstraction (mathematics)
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Using Redundant Visual Information From Different Dimensions for Attentional Selection

2012

The present study investigated the use of redundant information for attentional selection of a visual object. Each display contained two overlapping objects, and participants had to report the color of the occluding object. A baseline condition did not require object selection because the objects were identical. A single-cue condition required object selection based on spatial arrangement (i.e., occlusion) because the objects had the same shape. A double-cue condition afforded object selection by occlusion and shape because the objects consistently differed in shape. Behavioral results showed that the redundant shape cue facilitated attentional selection, although participants were never s…

CommunicationNeuropsychology and Physiological Psychologygenetic structuresPhysiologybusiness.industryGeneral NeuroscienceRedundancy (engineering)Pattern recognitionArtificial intelligencebusinessObject (computer science)PsychologySelection (genetic algorithm)Journal of Psychophysiology
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Local operators to detect regions of interest

1997

The performance of a visual system is strongly influenced by the information processing that is done in the early vision phase. The need exists to limit the computation on areas of interest to reduce the total amount of data and their redundancy. This paper describes a new method to drive the attention during the analysis of complex scenes. Two new local operators, based on the computation of local moments and symmetries, are combined to drive the selection. Experimental results on real data are also reported. © 1997 Elsevier Science B.V.

ComputationEarly visioncomputer.software_genreMachine learningFacial recognition systemSegmentationArtificial IntelligenceRedundancy (engineering)Selection (linguistics)AttentionSegmentationLimit (mathematics)Face recognitionElectrical and Electronic Engineering1707MathematicsSettore INF/01 - Informaticabusiness.industryInformation processingSignal ProcessingSymmetry operatorComputer Vision and Pattern RecognitionArtificial intelligenceData miningbusinesscomputerSoftwarePattern Recognition Letters
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Noise assisted image processing by ensembles of R-SETs

2017

AbstractWe study how noise can assist the processing of an image in a resistance-single electron transistor (R-SET) model. The image is an 8-bit black and white picture. Every grey level is codified linearly into a sub-threshold input potential applied for a prescribed time window to an ensemble of R-SETs that transforms it into a spiking frequency. The addition of a background white noise potential of high amplitude permits the ensemble to process the image by means of the stochastic resonance phenomenon. Aside from the positive aspects, we analyse the negative impact of using noise and how we can minimize it using redundancy and a longer measuring time. The results are compared with the c…

Computer Networks and CommunicationsComputer scienceStochastic resonancebusiness.industryImage processing02 engineering and technologyWhite noise021001 nanoscience & nanotechnologyMachine learningcomputer.software_genre03 medical and health sciencesNoise0302 clinical medicineRedundancy (information theory)Dark-frame subtractionImage noiseMedian filterArtificial intelligence0210 nano-technologybusinesscomputerAlgorithm030217 neurology & neurosurgerySoftwareInternational Journal of Parallel, Emergent and Distributed Systems
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