Search results for " processing"

showing 10 items of 7549 documents

Constraint Cellular Automata for Urban Development Simulation: An Application to the Strasbourg-Kehl Cross-Border Area

2017

AcknowledgementsThe research presented in this chapter is part of the Smart. Boundary project supported by the Fonds National de la Recherche in Luxembourg and CNRS in France (ref. INTER/CNRS/12/02). The authors would like also to thank the Grasp Program of LISER for allowing cross-collaboration between the two teams based in Luxembourg and France.; International audience; Urban sprawl and space consumption have become key issues in sustainable territorial development. Traditional planning approaches are often insufficient to anticipate their complex spatial consequences, especially in cross-border areas. Such complexity requires the use of dynamic spatial simulations and the development of…

Cellular automataMarkov chainOperations researchMarkov chainsComputer science0211 other engineering and technologiesUrban sprawl021107 urban & regional planning02 engineering and technology[SHS.GEO]Humanities and Social Sciences/Geography15. Life on landSpace (commercial competition)Cellular automaton[ SHS.GEO ] Humanities and Social Sciences/GeographyProspective13. Climate actionUrban planning11. Sustainability0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingLand use land-use change and forestryLand use scenariosConstraint (mathematics)Spatial analysisCross-border area
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Mutations in spalt cause a severe but reversible neurodegenerative phenotype in the embryonic central nervous system ofDrosophila melanogaster

2002

The gene spalt is expressed in the embryonic central nervous system of Drosophila melanogaster but its function in this tissue is still unknown. To investigate this question, we used a combination of techniques to analyse spalt mutant embryos. Electron microscopy showed that in the absence of Spalt, the central nervous system cells are separated by enlarged extracellular spaces populated by membranous material at 60% of embryonic development. Surprisingly, the central nervous system from slightly older embryos (80% of development) exhibited almost wild-type morphology. An extensive survey by laser confocal microscopy revealed that thespalt mutant central nervous system has abnormal levels o…

Central Nervous SystemHeterozygoteTime FactorsFasciclin 2Cellular differentiationCentral nervous systemLigandsCell AdhesionImage Processing Computer-AssistedIn Situ Nick-End LabelingmedicineAnimalsDrosophila ProteinsCell LineageCell adhesionMolecular BiologyCells CulturedCytoskeletonHomeodomain ProteinsNeuronsMicroscopy ConfocalMicroscopy VideobiologyCell adhesion moleculeCell DifferentiationAnatomyCadherinsbiology.organism_classificationImmunohistochemistryPhenotypeCell biologyTransplantationMicroscopy ElectronDrosophila melanogasterPhenotypemedicine.anatomical_structureMutationDrosophila melanogasterTranscription FactorsDevelopmental BiologyDevelopment
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Neuroblast pattern and identity in the Drosophila tail region and role of doublesex in the survival of sex-specific precursors.

2013

The central nervous system is composed of segmental units (neuromeres), the size and complexity of which evolved in correspondence to their functional requirements. In Drosophila, neuromeres develop from populations of neural stem cells (neuroblasts) that delaminate from the early embryonic neuroectoderm in a stereotyped spatial and temporal pattern. Pattern units closely resemble the ground state and are rather invariant in thoracic (T1-T3) and anterior abdominal (A1-A7) segments of the embryonic ventral nerve cord. Here, we provide a comprehensive neuroblast map of the terminal abdominal neuromeres A8-A10, which exhibit a progressively derived character. Compared with thoracic and anterio…

Central Nervous SystemMaleanimal structuresDoublesexSerial homologyApoptosisBiologyNeuroblastNeural Stem CellsAbdomenImage Processing Computer-AssistedAnimalsDrosophila ProteinsCell LineageMolecular BiologyBody PatterningSex CharacteristicsMicroscopy ConfocalNeuroectodermAnatomyNeuromereImmunohistochemistryNeural stem cellCell biologyDNA-Binding ProteinsVentral nerve cordDrosophilaFemaleGanglion mother cellDevelopmental BiologyDevelopment (Cambridge, England)
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Abdominal-B and caudal inhibit the formation of specific neuroblasts in the Drosophila tail region

2013

The central nervous system of Drosophila melanogaster consists of fused segmental units (neuromeres), each generated by a characteristic number of neural stem cells (neuroblasts). In the embryo, thoracic and anterior abdominal neuromeres are almost equally sized and formed by repetitive sets of neuroblasts, whereas the terminal abdominal neuromeres are generated by significantly smaller populations of progenitor cells. Here we investigated the role of the Hox gene Abdominal-B in shaping the terminal neuromeres. We show that the regulatory isoform of Abdominal-B (Abd-B.r) not only confers abdominal fate to specific neuroblasts (e.g. NB6-4) and regulates programmed cell death of several proge…

Central Nervous SystemTailanimal structuresCNS developmentCellular differentiationParaHoxApoptosisBiologyTerminal neuromeresAbdominal-BHox genesNeural Stem CellsNeuroblastNeuroblastsImage Processing Computer-AssistedAnimalsDrosophila ProteinsHox geneMolecular BiologyIn Situ HybridizationDNA PrimersHomeodomain ProteinsfungiCell DifferentiationStem Cells and RegenerationNeuromereImmunohistochemistryMolecular biologyNeural stem cellSegmental patterningDrosophila melanogasterMicroscopy Fluorescencenervous systemembryonic structuresCaudalDrosophilaGanglion mother cellDrosophila ProteinTranscription FactorsDevelopmental BiologyDevelopment
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Cooling of the cerebellar interpositus nucleus abolishes somatosensory cortical learning-related activity in eyeblink conditioned rabbits.

2005

Nictitating membrane movement and multiple-unit activity in the somatosensory cortex were recorded from rabbits during paired (N = 6) and unpaired (N = 5) presentations of a tone conditioned stimulus (CS) and an airpuff unconditioned stimulus (US). A behavioural conditioned response (CR) to the CS and an accompanying neural response in the somatosensory cortex developed only in the paired group. Inactivation of the cerebellar interpositus nucleus abolished both the acquired CR and the accompanying neural response. However, the CS facilitated both behavioural and neural responses to the US during the inactivation. Thus, the absence of the CR could not be accounted for by the general inabilit…

Cerebellumgenetic structuresEfferentCentral nervous systemSomatosensory system03 medical and health sciencesBehavioral Neuroscience0302 clinical medicineHypothermia InducedEvoked Potentials SomatosensorymedicineAnimals030304 developmental biologyNeurons0303 health sciencesBrain MappingNeuronal PlasticityChemistryClassical conditioningAssociation LearningElectroencephalographyNeural InhibitionSignal Processing Computer-AssistedSomatosensory CortexEvoked Potentials MotorConditioning Eyelidmedicine.anatomical_structureEyeblink conditioningCerebellar NucleiFemaleNictitating membraneRabbitsNerve NetNeuroscienceNucleus030217 neurology & neurosurgeryBehavioural brain research
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Analysis of neuronal networks in the visual system of the cat using statistical signals--simple and complex cells. Part II.

1978

Superimposing additively a two-dimensional noise process to deterministic input signals (bars) the neurons of area 17 show a class-specific reaction for the task of signal extraction. Moving both parts of the signals simultaneously and varying the signal to noise ratio (S/N) the simple cells achieve the same performance as resulted from the psychophysical experiment. Type I complex cells extract moving deterministic signals (i.e. bars) from the stationary noise, whereas in the answers of Type II complex cells the statistical parts of the signals predominate. Considering the different cell types each as a series of a linear and a nonlinear system one obtains the cell specific space-time freq…

Cerebral CortexNeuronsGeneral Computer ScienceSeries (mathematics)Noise (signal processing)Computer scienceSpeech recognitionModels NeurologicalStatistics as TopicProcess (computing)Complex systemElectrophysiologyForm PerceptionNonlinear systemAmplitudeSignal-to-noise ratioPattern Recognition VisualSimple (abstract algebra)CatsAnimalsVisual PathwaysBiological systemMathematicsBiotechnologyBiological cybernetics
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System-theoretical analysis of the Clare Bishop Area in the cat

1980

The Clare Bishop Area (CBA) is a retinotopically organized cortical area in the cat brain connected to a great variety of visual areas in a very complex wax (Fig. 1). Experimental analysis is difficult because of the following aspects: 1. As the distance from the retina increases, the signal combinations necessary to analyse the system become more and more specific. 2. Feedback loops cannot be opened, so an unequivocal identification of CBA cell properties is impossible. 3. The nonlinear character seems to have a great influence on signal processing. To circumvent these problems, specific signal combinations leading to a separation of input subsystems have been developed (Hoffmann and v. Se…

Cerebral CortexPolynomialSequenceSignal processingTime FactorsGeneral Computer ScienceComputer scienceEstimation theorySystems TheoryCell CommunicationFunction (mathematics)Models BiologicalSignalNonlinear systemCatsVisual PerceptionFeature (machine learning)AnimalsAlgorithmMathematicsBiotechnologyBiological Cybernetics
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Local symmetries of digital contours from their chain codes

1996

In this work symmetry is evaluated as a numeric feature for each point of a contour, using only the positions of a local vicinity of points. A measurement is defined, named as Local Symmetric Deficiency (LSD), so that the lower this quantity is, the higher the symmetry will be in the local region considered. This approach is very simple and it is based on a suitable manipulation of the chain code of the curve. Its computational cost is very low and it has the advantages of a parallel algorithm, since values for LSD can be computed for each point independently.

Chain codeFeature extractionParallel algorithmEdge detectionChain (algebraic topology)Artificial IntelligenceFeature (computer vision)Signal ProcessingPoint (geometry)Computer Vision and Pattern RecognitionSymmetry (geometry)AlgorithmSoftwareMathematicsPattern Recognition
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Qui a peur du changement climatique?

2019

ABSTRACT.The French "Grand Débat National" (Great National Debate) was animportant political event in 2019. Using the online proposals collected during thisconsultation, we propose a representation of the feeling of the impact of climate changeamong the contributors to the "Grand Débat National" in Metropolitan France. Weanalyze the causes of this feeling, through a supervised analysis of the contributions(via the Great Annotation) and we show the complementary interest of an unsuper-vised analysis (by extracting keywords). We show the richness of the data set that constitutes the "Grand Débat National", and the analytical stakes around these data.We also point out some important limitation…

Changement climatique[INFO.INFO-TT]Computer Science [cs]/Document and Text Processing[SHS.GEO] Humanities and Social Sciences/GeographyGlobal warmingGrand Débat National[INFO.INFO-TT] Computer Science [cs]/Document and Text Processing[SHS.GEO]Humanities and Social Sciences/Geographyrand Débat NationalComputingMilieux_MISCELLANEOUS
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Color encoding for polychromatic single-channel optical pattern recognition

2010

The common multichannel system for recognizing colored images is replaced by a color-encoded single-channel system. Amethod inspired by the Munsell color system is used for encoding the different colors as phase and amplitude functions. It is shown that for many practical cases the phase information part of the color code is sufficient for obtaining good results. An implementation based on a liquid-crystal television panel that works in a phase-modulation mode is suggested. Computer simulations that demonstrate the capabilities of the suggested method are given as well as a comparison with previously published multichannel performance.

Channel (digital image)Computer sciencebusiness.industryMaterials Science (miscellaneous)Pattern recognitionImage processingColor spaceIndustrial and Manufacturing EngineeringMunsell color systemEncoding (memory)Pattern recognition (psychology)Artificial intelligenceBusiness and International ManagementbusinessColor codeApplied Optics
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