Search results for "pattern"

showing 10 items of 4203 documents

An optimal population code for global motion estimation in local direction-selective cells

2021

AbstractNervous systems allocate computational resources to match stimulus statistics. However, the physical information that needs to be processed depends on the animal’s own behavior. For example, visual motion patterns induced by self-motion provide essential information for navigation. How behavioral constraints affect neural processing is not known. Here we show that, at the population level, local direction-selective T4/T5 neurons in Drosophila represent optic flow fields generated by self-motion, reminiscent to a population code in retinal ganglion cells in vertebrates. Whereas in vertebrates four different cell types encode different optic flow fields, the four uniformly tuned T4/T5…

0303 health scienceseducation.field_of_studyMatching (graph theory)Computer sciencebusiness.industryPopulationPattern recognitionENCODERetinal ganglion03 medical and health sciences0302 clinical medicineFlow (mathematics)Physical informationMotion estimationArtificial intelligenceeducationbusiness030217 neurology & neurosurgery030304 developmental biologyCoding (social sciences)
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Musicianship can be decoded from magnetic resonance images

2020

AbstractLearning induces structural changes in the brain. Especially repeated, long-term behaviors, such as extensive training of playing a musical instrument, are likely to produce characteristic features to brain structure. However, it is not clear to what extent such structural features can be extracted from magnetic resonance images of the brain. Here we show that it is possible to predict whether a person is a musician or a non-musician based on the thickness of the cerebral cortex measured at 148 brain regions en-compassing the whole cortex. Using a supervised machine-learning technique, we achieved a significant (κ = 0.321, p < 0.001) agreement between the actual and predicted par…

0303 health sciencesmedicine.diagnostic_testbusiness.industryComputer scienceMagnetic resonance imagingMusical instrumentPattern recognitionMusical03 medical and health sciences0302 clinical medicinemedicine.anatomical_structureCerebral cortexCortex (anatomy)medicineArtificial intelligencebusiness030217 neurology & neurosurgery030304 developmental biology
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Rhythm pattern discrimination by primary school students

2020

Ascertaining the most effective modes of presenting rhythmic information to students is extremely important in order to facilitate rhythm training. This study examines the effects of different bimodal presentations of rhythmic information on the discrimination of rhythm patterns by primary school students. A 2 × 2 factorial design was conducted with two variables – audiovisual and audio-textual – each using two levels (static and dynamic). Four experimental conditions were designed: (1) static audiovisual, (2) dynamic audiovisual, (3) static audio-textual and (4) dynamic audio-textual. Data were collected by administering a rhythmic discrimination test to intact classes in second grade ( N…

05 social sciencesRhythm patternMusic education050105 experimental psychologyEducation03 medical and health sciences0302 clinical medicineRhythmOrder (business)0501 psychology and cognitive sciencesPsychology030217 neurology & neurosurgeryMusicCognitive psychologyResearch Studies in Music Education
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Optimizing Query Perturbations to Enhance Shape Retrieval

2020

3D Shape retrieval algorithms use shape descriptors to identify shapes in a database that are the most similar to a given key shape, called the query. Many shape descriptors are known but none is perfect. Therefore, the common approach in building 3D Shape retrieval tools is to combine several descriptors with some fusion rule. This article proposes an orthogonal approach. The query is improved with a Genetic Algorithm. The latter makes evolve a population of perturbed copies of the query, called clones. The best clone is the closest to its closest shapes in the database, for a given shape descriptor. Experimental results show that improving the query also improves the precision and complet…

050101 languages & linguisticsComputer scienceInformationSystems_INFORMATIONSTORAGEANDRETRIEVALPopulationComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION02 engineering and technology[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]Search engineCompleteness (order theory)Genetic algorithm0202 electrical engineering electronic engineering information engineering0501 psychology and cognitive sciences[INFO]Computer Science [cs]educationMassively parallelComputingMilieux_MISCELLANEOUSThesaurus (information retrieval)education.field_of_studyCloning (programming)business.industry05 social sciencesPattern recognitionKey (cryptography)020201 artificial intelligence & image processingArtificial intelligencebusiness
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Dynamic Functional Connectivity Captures Individuals’ Unique Brain Signatures

2020

Recent neuroimaging evidence suggest that there exists a unique individual-specific functional connectivity (FC) pattern consistent across tasks. The objective of our study is to utilize FC patterns to identify an individual using a supervised machine learning approach. To this end, we use two previously published data sets that comprises resting-state and task-based fMRI responses. We use static FC measures as input to a linear classifier to evaluate its performance. We additionally extend this analysis to capture dynamic FC using two approaches: the common sliding window approach and the more recent phase synchrony-based measure. We found that the classification models using dynamic FC pa…

050101 languages & linguisticsComputer scienceLinear classifier02 engineering and technologyReduction (complexity)yksilötoiminnallinen magneettikuvausNeuroimagingMargin (machine learning)0202 electrical engineering electronic engineering information engineeringFeature (machine learning)0501 psychology and cognitive sciencesindividual differencestunnistaminenDynamic functional connectivitybusiness.industryFunctional connectivity05 social sciencesfMRIfunctional connectivityPattern recognitionData setkoneoppiminenclassificationvariance inflation factor020201 artificial intelligence & image processingArtificial intelligencebusiness
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Reverse-safe data structures for text indexing

2021

We introduce the notion of reverse-safe data structures. These are data structures that prevent the reconstruction of the data they encode (i.e., they cannot be easily reversed). A data structure D is called z-reverse-safe when there exist at least z datasets with the same set of answers as the ones stored by D. The main challenge is to ensure that D stores as many answers to useful queries as possible, is constructed efficiently, and has size close to the size of the original dataset it encodes. Given a text of length n and an integer z, we propose an algorithm which constructs a z-reverse-safe data structure that has size O(n) and answers pattern matching queries of length at most d optim…

050101 languages & linguisticsComputer sciencedata structure02 engineering and technologyprivacySet (abstract data type)combinatoric0202 electrical engineering electronic engineering information engineering0501 psychology and cognitive sciencesPattern matchingSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazionialgorithmSettore INF/01 - Informatica05 social sciencesSearch engine indexingINF/01 - INFORMATICAdata miningData structureMatrix multiplicationcombinatoricsExponent020201 artificial intelligence & image processingdata structure; algorithm; combinatorics; de Bruijn graph; data mining; privacyAlgorithmAdversary modelde Bruijn graphInteger (computer science)
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An Efficient Cooperative Smearing Technique for Degraded Historical Documents Images Segmentation

2020

Segmentation is one of the critical steps in historical document image analysis systems that determines the quality of the search, understanding, recognition and interpretation processes. It allows isolating the objects to be considered and separating the regions of interest (paragraphs, lines, words and characters) from other entities (figures, graphs, tables, etc.). This stage follows the thresholding, which aims to improve the quality of the document and to extract its background from its foreground, also for detecting and correcting the skew that leads to redress the document. Here, a hybrid method is proposed in order to locate words and characters in both handwritten and printed docu…

050101 languages & linguisticsComputer sciencemedia_common.quotation_subject02 engineering and technologyImage (mathematics)Interpretation (model theory)[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]0202 electrical engineering electronic engineering information engineering0501 psychology and cognitive sciencesSegmentationQuality (business)ComputingMilieux_MISCELLANEOUSmedia_commonbusiness.industrySmearing technique05 social sciencesPattern recognitionImage segmentationHybrid approachComputer Graphics and Computer-Aided DesignComputer Science Applications020201 artificial intelligence & image processingComputer Vision and Pattern RecognitionArtificial intelligencebusinessHistorical document
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Typical symptom change patterns and their predictors in patients with social anxiety disorder: A latent class analysis

2020

Abstract Objectives The use of trajectories and analysis of change patterns is a promising way toward better differentiation of subgroups in psychotherapy studies. Research on change patterns in social anxiety disorder (SAD) are still rare, although SAD is one of the most common mental disorders. In a secondary analysis of data from the SOPHO-NET-trial (ISRCTN53517394) this study aimed to investigate change patterns and their predictors in a sample of SAD patients. Methods Patients with SAD (N = 357) were randomly assigned to cognitive-behavioral or psychodynamic therapy. The Liebowitz Social Anxiety Scale (LSAS) was assessed at 1st session (pre), 8th session, 15th session and at the end of…

050103 clinical psychologyPsychodynamic psychotherapy05 social sciencesSocial anxietyChange patternsPhobia SocialLiebowitz social anxiety scaleAnxietyLogistic regressionAnxiety DisordersLatent class model030227 psychiatry3. Good healthPsychotherapy03 medical and health sciencesPsychiatry and Mental healthClinical Psychology0302 clinical medicineLatent Class AnalysisSecondary analysisHumans0501 psychology and cognitive sciencesIn patientPsychologyClinical psychologyJournal of Anxiety Disorders
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Nonlinear femtosecond pulse propagation in an all-solid photonic bandgap fiber

2009

Nonlinear femtosecond pulse propagation in an all-solid photonic bandgap fiber is experimentally and numerically investigated. Guiding light in such fiber occurs via two mechanisms: photonic bandgap in the central silica core or total internal reflection in the germanium doped inclusions. By properly combining spectral filtering, dispersion tailoring and pump coupling into the fiber modes, we experimentally demonstrate efficient supercontinuum generation with controllable spectral bandwidth.

060.2400;190.4370Materials scienceOptical fiberPhysics::OpticsPolarization-maintaining optical fiber02 engineering and technologySensitivity and Specificity01 natural sciences7. Clean energyGraded-index fiberlaw.invention010309 opticsCondensed Matter::Materials Science020210 optoelectronics & photonicsOpticslaw0103 physical sciences0202 electrical engineering electronic engineering information engineeringScattering RadiationDispersion-shifted fiberNonlinear Sciences::Pattern Formation and SolitonsOptical FibersPhotonic crystalPhotonsbusiness.industryLasersReproducibility of ResultsSignal Processing Computer-AssistedEquipment DesignMicrostructured optical fiberAtomic and Molecular Physics and OpticsSupercontinuumEquipment Failure AnalysisNonlinear DynamicsComputer-Aided DesignOptoelectronicsbusinessElectromagnetic pulse; energy gap; fibersPhotonic-crystal fiber
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Online Intercultural Exchanges Through Digital Storytelling

2017

This article focuses on the affordances of a digital storytelling project in developing students' language, digital and other skills: learning and innovation, creativity, critical thinking, problem solving, team working, and life and career skills. The project was undertaken by university English for Specific Purposes students and was conducted within an Online Intercultural Exchange between the Cyprus University of Technology and the University of Valencia. Its design was based on a Project-Based Learning (PBL) methodology. It incorporated active learning and multimodal resources and capabilities. The need for transforming language teaching pedagogies was borne in mind, as it is necessary …

060201 languages & linguisticsLinguistics and LanguageDigital storytellingmedia_common.quotation_subject05 social sciences050301 education06 humanities and the artsEnglish for specific purposesCreativityTeam workingComputer Science ApplicationsEducationCritical thinking0602 languages and literatureActive learningComputingMilieux_COMPUTERSANDEDUCATIONMathematics educationLanguage educationComputer Vision and Pattern RecognitionPsychologyAffordance0503 educationmedia_commonInternational Journal of Computer-Assisted Language Learning and Teaching
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