Search results for "Neural"

showing 10 items of 2783 documents

Interactions in the network of Usher syndrome type 1 proteins

2004

International audience; Defects in myosin VIIa, harmonin (a PDZ domain protein), cadherin 23, protocadherin 15 and sans (a putative scaffolding protein), underlie five forms of Usher syndrome type I (USH1). Mouse mutants for all these proteins exhibit disorganization of their hair bundle, which is the mechanotransduction receptive structure of the inner ear sensory cells, the cochlear and vestibular hair cells. We have previously demonstrated that harmonin interacts with cadherin 23 and myosin VIIa. Here we address the extent of interactions between the five known USH1 proteins. We establish the previously suggested sans-harmonin interaction and find that sans also binds to myosin VIIa. We …

[SDV]Life Sciences [q-bio]Hearing Loss SensorineuralStereocilia (inner ear)PDZ domainCadherin Related ProteinsProtocadherinCell Cycle ProteinsNerve Tissue ProteinsCuticular plateMyosinsBiologyMiceTwo-Hybrid System TechniquesHair Cells AuditoryBone plateMyosinotorhinolaryngologic diseasesGeneticsAnimalsHumansProtein PrecursorsMolecular BiologyGenetics (clinical)GeneticsStereociliumDyneinsSyndromeGeneral MedicineCadherinsCell biologyCytoskeletal ProteinsMyosin VIIaMutationsense organsCarrier ProteinsRetinitis PigmentosaPCDH15HeLa CellsProtein BindingHuman Molecular Genetics
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Performances of neural networks for deriving LAI estimates from existing CYCLOPES and MODIS products

2008

International audience; This paper evaluates the performances of a neural network approach to estimate LAI from CYCLOPES and MODIS nadir normalized reflectance and LAI products. A data base was generated from these products over the BELMANIP sites during the 2001-2003 period. Data were aggregated at 3 km x 3 km, resampled at 1/16 days temporal frequency and filtered to reject outliers. VEGETATION and MODIS reflectances show very consistent values in the red, near infrared and short wave infrared bands. Neural networks were trained over part of this data base for each of the 6 MODIS biome classes to retrieve both MODIS and CYCLOPES LAI products. Results show very good performances of neural …

[SPI.OTHER]Engineering Sciences [physics]/OtherMean squared errorBiome0211 other engineering and technologiesSoil Science02 engineering and technologyNEURAL NETWORKSStandard deviationALBEDONadirComputers in Earth SciencesLeaf area indexLEA021101 geological & geomatics engineeringRemote sensingMathematicsCYCLOPESGeology04 agricultural and veterinary sciencesVegetation15. Life on landCONSISTENCY OF PRODUCTSRESEAU DE NEURONESMODISTemporal resolutionOutlier040103 agronomy & agriculture0401 agriculture forestry and fisheriesVEGETATIONLEAF AREA INDEX
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Discriminating and simulating actions with the associative self-organising map

2015

We propose a system able to represent others’ actions as well as to internally simulate their likely continuation from a partial observation. The approach presented here is the first step towards a more ambitious goal of endowing an artificial agent with the ability to recognise and predict others’ intentions. Our approach is based on the associative self-organising map, a variant of the self-organising map capable of learning to associate its activity with different inputs over time, where inputs are processed observations of others’ actions. We have evaluated our system in two different experimental scenarios obtaining promising results: the system demonstrated an ability to learn discrim…

action recognitionArtificial neural networkneural networkbusiness.industryComputer scienceinternal simulationassociative self-organising map; neural network; action recognition; internal simulation; intention understandingassociative self-organising mapSelf organising mapsMachine learningcomputer.software_genreHuman-Computer InteractionContinuationintention understandingArtificial IntelligenceAction recognitionArtificial intelligencebusinesscomputerSoftwareAssociative propertyConnection Science
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Advances in immunopathogenesis of macrophage activation syndrome during rheumatic inflammatory diseases: toward new therapeutic targets?

2017

Introduction: Macrophage activation syndrome (MAS) is a severe, hyperinflammatory life-threatening syndrome, generally complicating different rheumatic diseases. Despite the severity of the disease, little is known about the pathogenic mechanisms and, thus, possible targeted therapies in the management of these patients. Areas covered: In this review, we aimed to update the current pathogenic knowledge of MAS, during rheumatic diseases, focusing mainly on immunologic abnormalities and on new possible therapeutic strategies. Expert commentary: The difficult pathogenic scenario of MAS, in which genetic defects, predisposing diseases, and triggers are mixed together with the high mortality rat…

adult onset Still’s disease0301 basic medicineAdultAdult-onset Still's diseasemedicine.medical_treatmentImmunologyInflammationmacrophagemacromolecular substancesDisease03 medical and health sciences0302 clinical medicineRheumatic DiseasescytokinemedicineImmunology and AllergyMacrophageAnimalsHumanssystemic juvenile idiopathic arthritiMolecular Targeted TherapyChildExpert Testimony030203 arthritis & rheumatologyInflammationbusiness.industrymusculoskeletal neural and ocular physiologyMacrophage Activation Syndromehyperferritinemic syndromeMacrophage Activationmedicine.diseaseSettore MED/16 - Reumatologia030104 developmental biologyCytokinenervous systemMacrophage activation syndromeImmunologymedicine.symptombusinessExpert review of clinical immunology
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Vecuma ietekme uz Vernjē asumu.

2020

Maģistra darbs ir uzrakstīts angļu valodā uz 36 lapaspusēm, tas satur 19 attēlus, 3 tabulas un atsauces uz 36 literatūras avotiem. Darba mērķis ir noskaidrot, vai Vernjē asumu ietekmē cilvēka novecošanās process kopējā populācijā. Metode. Pētījumā piedalījās 75 netrenēti dalībnieki divās vecuma grupās, lietotjot labāko iespējamo briļļu korekciju. Dalībniekiem nebija zināmu acs patoloģiju, izņemot agrīnu kataraktu. Dalībniekiem 3 reizes tika novērtēts Vernjē asums. Rezultāti. Vernjē asuma sliekšņi ir augstāki vecāku dalībnieku grupā nekā jaunāko dalībnieku grupā. Secinājumi. Pētītajā dalībnieku grupā novecošanās process ietekmēja Vernjē asumu. Pētījumu varētu uzlabot plašāks dalībnieku loks …

ageing of the visionuntrained subjectsneural changesFizikaVernier acuity
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Adaptación visual a la distorsión luminosa y agudeza de bajo contraste en pacientes bajo terapia corneal refractiva.

2015

Antecedentes: La Ortoqueratología (OK) o terapia refractiva corneal (CRT) es un tratamiento para corregir el error refractivo mediante el moldeo la cara anterior de la córnea con la aplicación programada de unas lentes de contacto rígidas permeables al gas (RGP) diseñadas especialmente (LC). La técnica es efectiva y la FDA la aprobó para un error refractivo de -6,00D de esfera y -1,50D de cilindro. Algunos profesionales afirman que se pueden conseguir correcciones para valores superiores de miopía y astigmatismo, hipermetropía y presbicia, pero estas aplicaciones están en este trabajo fuera de contexto. A pesar de su eficacia, la técnica tiene algunas desventajas intrínsecas a la remodelaci…

agudeza visualdistorsión luminosasatisfacción subjetiva tras ortoqueratologíaortoqueratologíaortoqueratología (ok)terapia corneal refractiva (crt)adaptación neuralortoqueratología nocturna
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A Deep Learning Model for Automatic Sleep Scoring using Multimodality Time Series

2021

Sleep scoring is a fundamental but time-consuming process in any sleep laboratory. Automatic sleep scoring is crucial and urgent to help address the increasing unmet need for sleep research. Therefore, this paper aims to develop an end-to-end deep learning architecture using raw polysomnographic recordings to automate sleep scoring. The proposed model adopts two-dimensional convolutional neural networks (2D-CNN) to automatically learn features from multi-modality signals, together with a "squeeze and excitation" block for recalibrating channel-wise feature responses. The learnt representations are finally fed to a softmax classifier to generate predictions for each sleep stage. The model pe…

aikasarjatComputer science02 engineering and technologytransfer learningMachine learningcomputer.software_genreConvolutional neural networkuni (lepotila)polysomnography0202 electrical engineering electronic engineering information engineeringSleep researchFeature (machine learning)aivotutkimusBlock (data storage)multimodality analysissignaalinkäsittelybusiness.industryunitutkimusDeep learningSleep laboratorySIGNAL (programming language)deep learningsignaalianalyysi020206 networking & telecommunicationsautomatic sleep scoringkoneoppiminen020201 artificial intelligence & image processingArtificial intelligenceSleep (system call)businesscomputer2020 28th European Signal Processing Conference (EUSIPCO)
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Pharmacogenomic identification of small molecules for lineage specific manipulation of subventricular zone germinal activity

2017

Strategies for promoting neural regeneration are hindered by the difficulty of manipulating desired neural fates in the brain without complex genetic methods. The subventricular zone (SVZ) is the largest germinal zone of the forebrain and is responsible for the lifelong generation of interneuron subtypes and oligodendrocytes. Here, we have performed a bioinformatics analysis of the transcriptome of dorsal and lateral SVZ in early postnatal mice, including neural stem cells (NSCs) and their immediate progenies, which generate distinct neural lineages. We identified multiple signaling pathways that trigger distinct downstream transcriptional networks to regulate the diversity of neural cells …

animal diseasesGene Identification and AnalysisGenetic NetworksAPC-PAIDMiceNeural Stem CellsCell SignalingLateral VentriclesDatabases GeneticGene Regulatory NetworksBiology (General)WNT Signaling CascadeNotch SignalingOrganic CompoundsBB/M029379/1GenomicsSignaling CascadesOligodendrogliaChemistryBBSRCPhysical Sciences[SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]Network AnalysisNeurovetenskaperSignal TransductionResearch ArticleBiotechnologyComputer and Information SciencesSignal InhibitionQH301-705.5NeurogenesisResearch and Analysis MethodsSmall Molecule LibrariesGenetics/dk/atira/pure/core/subjects/biomedicalsciencesAnimalsAdultsCell LineageComputer Simulation[SDV.NEU] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]Molecular Biology TechniquesMolecular BiologyOrganic ChemistryGene MappingChemical CompoundsNeurosciencesBiology and Life SciencesRCUKBiomedical SciencesCell BiologyNerve RegenerationSignaling NetworksGene Expression Regulationnervous systemSmall MoleculesAge GroupsPeople and PlacesPopulation GroupingsTranscriptome
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Intraflagellar transport protein 172 is essential for primary cilia formation and plays a vital role in patterning the mammalian brain

2008

AbstractIFT172, also known as Selective Lim-domain Binding protein (SLB), is a component of the intraflagellar transport (IFT) complex. In order to evaluate the biological role of the Ift172 gene, we generated a loss-of-function mutation in the mouse. The resulting Slb mutant embryos die between E12.5 and 13.0, and exhibit severe cranio-facial malformations, failure to close the cranial neural tube, holoprosencephaly, heart edema and extensive hemorrhages. Cilia outgrowth in cells of the neuroepithelium is initiated but the axonemes are severely truncated and do not contain visible microtubules. Morphological and molecular analyses revealed a global brain-patterning defect along the dorsal–…

animal structuresBody PatterningNodal ProteinSlbNodalBiologyArticleMiceFGF8Intraflagellar transportHoloprosencephalymedicineMHB boundaryAnimalsHedgehog ProteinsRNA MessengerCiliaNodeMolecular BiologyAdaptor Proteins Signal TransducingBody PatterningGeneticsMammalsCell DeathCiliumEndodermNeural tubeIntracellular Signaling Peptides and ProteinsBrainGene Expression Regulation DevelopmentalCell BiologyEmbryo MammalianCell biologyNeuroepithelial cellGastrulationCytoskeletal Proteinsmedicine.anatomical_structurePhenotypeIFT172Gene Targetingembryonic structuresNODALBiomarkersGene DeletionDevelopmental BiologySignal TransductionDevelopmental Biology
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A novel pilot study of automatic identification of EMF radiation effect on brain using computer vision and machine learning

2020

Abstract Electromagnetic field (EMF) radiations from mobile phones and cell tower affect brain of humans and other organisms in many ways. Exposure to EMF could lead to neurological changes causing morphological or chemical changes in the brain and other internal organs. Cellular level analysis to measure and identify the effect of mobile radiations is an expensive and long process as it requires preparing the cell suspension for the analysis. This paper presents a novel pilot study to identify changes in brain morphology under EMF exposure considering drosophila melanogaster as a specimen. The brain is automatically segmented, obtaining microscopic images from which discriminatory geometri…

animal structuresComputer science0206 medical engineeringBiomedical EngineeringHealth InformaticsImage processingFeature selection02 engineering and technologyMachine learningcomputer.software_genre03 medical and health sciencesNaive Bayes classifier0302 clinical medicineComputer visionTime complexityArtificial neural networkbusiness.industryBrain morphometry020601 biomedical engineeringRandom forestSupport vector machineSignal ProcessingArtificial intelligencebusinesscomputer030217 neurology & neurosurgeryBiomedical Signal Processing and Control
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