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Auswahl der wissenschaftlichen Literatur zum Thema „Modèle en masses neurales“
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Zeitschriftenartikel zum Thema "Modèle en masses neurales"
Ballouhey, Quentin, Laurence Richard, Laurent Fourcade, Ines Ben Rhaiem, Jean-Michel Vallat, Franck Sturtz und Sylvie Bourthoumieu. „Étude des dérivés des crêtes neurales dans un modèle murin d’atrésie intestinale“. Morphologie 101, Nr. 335 (Dezember 2017): 188. http://dx.doi.org/10.1016/j.morpho.2017.07.073.
Der volle Inhalt der QuelleRemaud, Sylvie, und Barbara Demeneix. „Les hormones thyroïdiennes régulent le destin des cellules souches neurales“. Biologie Aujourd'hui 213, Nr. 1-2 (2019): 7–16. http://dx.doi.org/10.1051/jbio/2019007.
Der volle Inhalt der QuelleFalek, L., H. Teffahi und A. Djeradi. „Simulation d’un modèle de la source vocale et détermination des paramètres de commande“. Canadian Journal of Physics 87, Nr. 2 (Februar 2009): 111–16. http://dx.doi.org/10.1139/p08-104.
Der volle Inhalt der QuelleEl It, Fatima, Laurence Faivre, Christel Thauvin-Robinet, Antonio Vitobello und Laurence Duplomb. „Des organoïdes cérébraux pour la compréhension et la thérapie des maladies génétiques rares avec troubles neurodéveloppementaux“. médecine/sciences 40, Nr. 8-9 (August 2024): 643–52. http://dx.doi.org/10.1051/medsci/2024100.
Der volle Inhalt der QuelleTeffahi, H., und S. Kherouf. „Effets du couplage source–conduit vocal sur le modèle à deux masses“. Canadian Journal of Physics 88, Nr. 9 (September 2010): 657–62. http://dx.doi.org/10.1139/p10-047.
Der volle Inhalt der QuelleSauvage, Stéphane, Nadine Locoge, Hervé Plaisance, Patrice Coddeville und Jean-Claude Galloo. „Identification et contribution des sources de HCNM en zone rurale“. Pollution atmosphérique, NS 2 (01.09.2010): 131–42. http://dx.doi.org/10.54563/pollution-atmospherique.7121.
Der volle Inhalt der QuelleKistler, Max. „Réduction fonctionnelle et réduction logique“. Philosophiques 27, Nr. 1 (02.10.2002): 27–38. http://dx.doi.org/10.7202/004938ar.
Der volle Inhalt der QuelleMajdoub, R., J. Gallichand und J. Caron. „Modélisation du lessivage des bromures dans des cases lysimétriques par la méthode numérique des lignes“. Revue des sciences de l'eau 14, Nr. 4 (12.04.2005): 465–88. http://dx.doi.org/10.7202/705428ar.
Der volle Inhalt der QuelleSchaub, Jean-Frédéric. „La Crise Hispanique de 1640 Le modèle des « révolutions périphériques » en question (note critique)“. Annales. Histoire, Sciences Sociales 49, Nr. 1 (Februar 1994): 219–39. http://dx.doi.org/10.3406/ahess.1994.279254.
Der volle Inhalt der QuelleGallinari, F., S. Elmaleh und R. Ben Aïm. „Influence de la dissipation énergetique sur l'efficacité de la flottation à air dissous : analogie avec la floculation“. Revue des sciences de l'eau 9, Nr. 4 (12.04.2005): 485–98. http://dx.doi.org/10.7202/705263ar.
Der volle Inhalt der QuelleDissertationen zum Thema "Modèle en masses neurales"
Kuchenbuch, Mathieu. „Modélisation computationelle de l'épilepsie avec crises focales migrantes du nourrisson“. Thesis, Rennes 1, 2019. http://www.theses.fr/2019REN1B062.
Der volle Inhalt der QuelleEpilepsy in infancy with migrating focal seizures is characterized by focal seizures beginning before 6 months that intensify to a stormy phase where so-called migrating focal seizures appear. The gain-of-function mutations of the KCNT1 gene are the main causes of this epilepsy. We focused on a cohort of patients with a KCNT1 mutations and this epilepsy to better understand this syndrome in order to model it. First, we specified the clinic for these patients, including long-term poor outcomes, high mortality, microcephaly and the presence of extra-neurological symptoms. Then, we determined, through the study of ictal EEGs, that migrating seizures were not chaotic but rather corresponded to a type of propagation and we have identified specific markers of this epilepsy. Then, we showed that the majority of KCNT1 mutations appeared to cluster in "hot spots" and that there was no strict genotypephenotype correlation. Finally, we modelled this epilepsy at microscopic and mesoscopic levels. Preliminary results showed a decrease in excitation, a fall in inhibition and involvement of depolarizing GABA. We then discuss the different aspects of our work in the light of the literature and describe the perspectives opened by this thesis from a fundamental, clinical and physiological point of views
Condy, Carine. „La distractibilité : bases neurales, pharmacologie et modèles expérimentaux“. Paris 6, 2007. https://tel.archives-ouvertes.fr/tel-00808982.
Der volle Inhalt der QuelleCondy, Carine. „LA DISTRACTIBILITE : BASES NEURALES, PHARMACOLOGIE ET MODELES EXPERIMENTAUX“. Phd thesis, Université Pierre et Marie Curie - Paris VI, 2007. http://tel.archives-ouvertes.fr/tel-00808982.
Der volle Inhalt der QuelleNugroho, Dwiyoga. „La marée dans un modèle de circulation générale dans les mers indonésiennes“. Thesis, Toulouse 3, 2017. http://www.theses.fr/2017TOU30089/document.
Der volle Inhalt der QuelleIn the Indonesian seas, large tidal currents interact with the rough topography and create strong internal waves at the tidal frequency, called internal tides. Part of them will eventually propagate and dissipate far away from generation sites. Their associated mixing upwells cold and nutrient-rich water that prove to be critical for climate system and for marine resources. This thesis uses the physical ocean general circulation model, NEMO, as part of the INDESO project that aims at monitoring the Indonesian marine living resources. Models not taking into account tidal missing are unable to correctly reproduce the vertical structure of watermasses in Indonesian seas. However, taking into account this mixing is no simple task as the phenomena involved in tidal mixing cover a wide spectrum of spatial scales. Internal tides indeed propagate over thousands of kilometres while dissipation and mixing occurs at centimetric to millimetric scales. A model capable of resolving all these processes at the same time does not exist. Until now scientists either parameterised the tidal mixing or used models which only partly resolve internal tides. More and more scientists introduce explicit tidal forcing in their models but without knowing where the energy is going and how the internal tides are dissipated. This thesis intends to quantify energy dissipation in NEMO forced with explicit tidal forcing and compares it to the dissipation induced by the currently used parameterization. This thesis also provides new results about the quantification of the tidal energy budget in NEMO. I first contributed to an INDESO study that aimed at validating the model against several observation data sets. In a second and third study, I investigated the mixing produced in the model by explicit tidal forcing and its impact on water mass. Explicit tides forcing proves to produce a mixing comparable to the one produced by the parameterization. It also produces a significant cooling of 0.3 °C with maxima reaching 0.8°C in the areas of internal tide generation. The cooling is stronger on austral winter. The spring tides and neap tides modulate this impact by 0.1°C to 0.3°C. The model generates 75% of the expected internal tides energy, in good agreement with other previous studies. In the ocean interior, most of it is dissipated by horizontal momentum dissipation (19 GW), while in reality one would expect dissipation through vertical possesses. This value is close to the dissipation induced by the parameterization (16 GW). The mixing is strong over generation sites, and only 20% remains for far field dissipation mainly in the Banda and Sulawesi Seas. The model and the recent INDOMIX cruise [Koch-Larrouy et al. (2015)], which provided direct estimates of the mixing, are surprisingly in good agreement mainly above straits. However, in regions far away from the energy generation sites where INDOMIX found NO evidence of intensified mixing, the model produces too strong mixing. The bias comes from the lack of specific set up of internal tides in the model. More work is thus needed to improve the modeled dissipation, which is a theme of active research for the scientific community. I dedicated the last part of my thesis to the quantification of tidal energy sinks in NEMO. I first worked on a simple academic case: the COMODO internal tides test case, which analyses the behaviour of a vertically stratified fluid forced by a barotropic flow interacting over an idealized abyssal plain/slope/shelf topography without bottom friction. The results of the finite element T-UGOm hydrodynamic model are compared with those of NEMO. The central issue in calculating tidal energy budget is the separation of barotropic and baroclinic precesses
Koch-Larrouy, Ariane. „Transformation des masses d'eau dans les mers indonésiennes“. Paris 6, 2007. http://www.theses.fr/2007PA066621.
Der volle Inhalt der QuelleKalantari, Saman. „Introduction de fonctionnalités de changements d'états topologiques dans le formalisme de modélisation et de simulation CORDIS-ANIMA“. Thesis, Grenoble, 2014. http://www.theses.fr/2014GRENS004.
Der volle Inhalt der QuelleL'auteur n'a pas fourni de résumé en anglais
Pla, Patrick. „Les cellules embryonnaires souches sauvages et mutantes : un nouveau modèle de la migration et de la différenciation de crêtes neurales“. Paris 11, 2003. http://www.theses.fr/2003PA112124.
Der volle Inhalt der QuelleTruncal neural crest cells (NCC) that migrate along the dorsoventral pathway give rise to neurons and glial cells of the peripheral nervous system. NCC that migrate along the dorsolateral pathway are called melanoblasts and give rise to melanocytes. To better determine the molecular mechanisms that determine the orientation towards the dorsolateral pathway, we developped a cellular model using mouse embryonic stem cells (ES cells). These cells are able to migrate on both NCC pathways, when they are grafted in the chicken embryo. Using this model, we found that integrin beta1, a protein linking the extracellular matrix with the cytoskeleton, and Ednrb2 have a crucial role in the dorsolateral migration. Ednrb2 is able to stimulate the activity of FAK and paxillin, two tyrosine kinases involved in migration. Moreover, we differentiated ES cells into melanocytes in vitro. ES expressing a reporter gene under the control of a melanoblast-specific promoter (Dct : :lacZ) were established and the cellular events such as determination, proliferation and differentiation were observed during their differentiation in vitro. ES cells expressing Ednrb2 are more easily recruited to the melanoçyte lineage. The addition of the ligand endothelin stimulated also the proliferation of ES-cell derived melanoblasts. Altogether, this work show the development and the application of novel model of NCC development
Dugault, Edouard. „Etude du transport et de l'évolution physico-chimique de masses d'air européennes au-dessus de l'Atlantique Nord sous des conditions anticycloniques“. Paris 6, 2002. http://www.theses.fr/2002PA066518.
Der volle Inhalt der QuelleVallet, Anais. „Etude de la balance Excitatiοn/Ιnhibitiοn de régiοns cérébrales impliquées dans une tâche de cοntrôle inhibiteur : mοdélisatiοn de dοnnées οbtenues en Ιmagerie par Résοnance Μagnétique fοnctiοnnelle et inversiοn“. Electronic Thesis or Diss., Normandie, 2024. http://www.theses.fr/2024NORMC014.
Der volle Inhalt der QuelleIn psychology, inhibitory control is a cognitive mechanism that stops a motor, emotional orcognitive response from achieving a desired goal. At cerebral level, inhibitory control is associatedwith a network of brain regions, whose function may be measured using BOLD signals from fMRI.Prefrontal control regions lower the BOLD activity of target regions. fMRI provides an indirectmeasure of the activity of neurons. How can we then infer from fMRI data, neural excitatory andinhibitory (E/I) properties of brain regions involved in an inhibitory control task ?We start with a non-linear biophysical model that describes by region the temporal evolutionof neural excitatory and inhibitory activities (Naskar et al., 2021). These variations in activityproduce BOLD changes in each brain region. Analysis of this model enables us to : 1) identifyneural parameters of the E/I balance ; 2) show that increasing the BOLD activity of a controlregion does not lower the BOLD activity of a target region, since these regions are connected bytheir excitatory neurons only ; 3) propose a new connectivity architecture to enable this ; 4) studyhow the lowering of activity in the target region depends on the E/I balance in the target region.We then propose a new inversion procedure. We check its reliability through simulations, beforepresenting a proof-of-concept using real data from a subject during a Think/No-Think task, aparadigm used for studying the inhibitory control of memory intrusions (Mary et al., 2020)
Maire, Cecile. „Fonction des facteurs de transcription Olig1 et Olig2 dans les cellules souches neurales du système nerveux central : Etude d'un modèle de souris transgéniques d'expression inductible“. Paris 5, 2007. http://www.theses.fr/2007PA05D030.
Der volle Inhalt der QuelleOlig1 and Olig2 are b-HLH transcription factors involved in oligodendrocyte development in the central nervous system. My project aims to analyse the effect of Olig gene over-expression in neural stem cells. Therefore, I designed and analyzed transgenic mice models with inducible expression of Olig genes in nestin+ neural stem/progenitor cells (Tet-On system). At embryonic stages, forced expression of Olig1 and Olig2 leads to ectopic expression of oligodendrocyte markers. Moreover, Olig2 over-expression decreased V3 interneuron specification. At postnatal stage Olig2 over-expression in germinative area induced earlier myelination and astrocyte specification in corpus callosum. These transgenic mice provide a useful model to test whether forced expression of Olig genes represents a possible strategy to enhance remyelination in demyelinating disease such as multiple sclerosis
Bücher zum Thema "Modèle en masses neurales"
Butyrskiy, Evgeniy, und Alexandr Matveev. Mathematical modeling of systems and processes. Strategy of the Future, 2022. http://dx.doi.org/10.37468/book_011222.
Der volle Inhalt der QuelleWendling, Fabrice, und Fernando H. Lopes da Silva. Dynamics of EEGs as Signals of Neuronal Populations. Herausgegeben von Donald L. Schomer und Fernando H. Lopes da Silva. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190228484.003.0003.
Der volle Inhalt der QuelleBuchteile zum Thema "Modèle en masses neurales"
Holzinger, Andreas, Anna Saranti, Anne-Christin Hauschild, Jacqueline Beinecke, Dominik Heider, Richard Roettger, Heimo Mueller, Jan Baumbach und Bastian Pfeifer. „Human-in-the-Loop Integration with Domain-Knowledge Graphs for Explainable Federated Deep Learning“. In Lecture Notes in Computer Science, 45–64. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-40837-3_4.
Der volle Inhalt der Quelle„Neuron Models and Neural Masses“. In Neural Nets and Chaotic Carriers, 131–51. IMPERIAL COLLEGE PRESS, 2010. http://dx.doi.org/10.1142/9781848165915_0011.
Der volle Inhalt der QuelleOshkhunov, Muaed M., Sergey I. Dosko und Aleksey Kh Tlibekov. „Solving Problems of Deformable Solid Mechanics by the Method of Dynamic Particles“. In Advances in Transdisciplinary Engineering. IOS Press, 2024. http://dx.doi.org/10.3233/atde240665.
Der volle Inhalt der QuelleBalabin, Helena, Antonietta Gabriella Liuzzi, Jingyuan Sun, Patrick Dupont, Rik Vanderberghe und Marie-Francine Moens. „Investigating Neural Fit Approaches for Sentence Embedding Model Paradigms“. In Frontiers in Artificial Intelligence and Applications. IOS Press, 2023. http://dx.doi.org/10.3233/faia230267.
Der volle Inhalt der QuelleSarapisto, Teemu, Haoyu Wei, Keijo Heljanko, Arto Klami und Laura Ruotsalainen. „Subsystem Discovery in High-Dimensional Time-Series Using Masked Autoencoders“. In Frontiers in Artificial Intelligence and Applications. IOS Press, 2024. http://dx.doi.org/10.3233/faia240844.
Der volle Inhalt der QuelleUdendhran, R., und Balamurugan M. „Demystification of Deep Learning-Driven Medical Image Processing and Its Impact on Future Biomedical Applications“. In Deep Neural Networks for Multimodal Imaging and Biomedical Applications, 155–71. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-3591-2.ch010.
Der volle Inhalt der QuelleSoujanya, R., Ravi Mohan Sharma, Manish Manish Maheshwari und Divya Prakash Shrivastava. „Fundamental Concepts in Graph Attention Networks“. In Concepts and Techniques of Graph Neural Networks, 74–85. IGI Global, 2023. http://dx.doi.org/10.4018/978-1-6684-6903-3.ch006.
Der volle Inhalt der QuelleAhmed, Fahim, Md Fahim, Md Ashraful Amin, Amin Ahsan Ali und AKM Mahabubur Rahman. „Improving the Performance of Transformer-Based Models Over Classical Baselines in Multiple Transliterated Languages“. In Frontiers in Artificial Intelligence and Applications. IOS Press, 2024. http://dx.doi.org/10.3233/faia240972.
Der volle Inhalt der QuellePoon, Hoifung, Hai Wang und Hunter Lang. „Chapter 14. Combining Probabilistic Logic and Deep Learning for Self-Supervised Learning“. In Frontiers in Artificial Intelligence and Applications. IOS Press, 2021. http://dx.doi.org/10.3233/faia210361.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "Modèle en masses neurales"
Hernandez-Lopez, Juanita, und Wilfrido Gomez-Flores. „Predicting the BI-RADS Lexicon for Mammographie Masses Using Hybrid Neural Models“. In 2020 17th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE). IEEE, 2020. http://dx.doi.org/10.1109/cce50788.2020.9299155.
Der volle Inhalt der QuelleAtlinar, Ferhat, Tugberk Ayar, Abdurrahim Darrige, Shaza AlQays, Ahmet Bagci und Mehmet Fatih Amasyali. „Masked Word Prediction with Statistical and Neural Language Models“. In 2020 Innovations in Intelligent Systems and Applications Conference (ASYU). IEEE, 2020. http://dx.doi.org/10.1109/asyu50717.2020.9259862.
Der volle Inhalt der QuelleSampaio, Wener B., Edgar M. Diniz, Aristofanes C. Silva und Anselmo C. de Paiva. „Detection of Masses in Mammograms Using Cellular Neural Networks, Hidden Markov Models and Ripley's K Function“. In 2009 16th International Conference on Systems, Signals and Image Processing. IEEE, 2009. http://dx.doi.org/10.1109/iwssip.2009.5367756.
Der volle Inhalt der QuelleNoé, Italo T., Lucas H. L. Costa und Talles H. Medeiros. „Masked Faces: Overcoming Recognition Challenges with Transfer Learning in CNNs“. In Symposium on Knowledge Discovery, Mining and Learning. Sociedade Brasileira de Computação - SBC, 2023. http://dx.doi.org/10.5753/kdmile.2023.232907.
Der volle Inhalt der QuelleLe, Franck, Mudhakar Srivatsa, Krishna Kesari Reddy und Kaushik Roy. „Using Graphical Models as Explanations in Deep Neural Networks“. In 2019 IEEE 16th International Conference on Mobile Ad Hoc and Sensor Systems (MASS). IEEE, 2019. http://dx.doi.org/10.1109/mass.2019.00041.
Der volle Inhalt der QuelleReinders, Christoph, Frederik Schubert und Bodo Rosenhahn. „ChimeraMix: Image Classification on Small Datasets via Masked Feature Mixing“. In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/181.
Der volle Inhalt der QuelleGuo, Quan, Hossein Rajaby Faghihi, Yue Zhang, Andrzej Uszok und Parisa Kordjamshidi. „Inference-Masked Loss for Deep Structured Output Learning“. In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/382.
Der volle Inhalt der QuelleShi, Yunsheng, Zhengjie Huang, Shikun Feng, Hui Zhong, Wenjing Wang und Yu Sun. „Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification“. In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. California: International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/214.
Der volle Inhalt der QuelleNishimoto, Hiroyuki. „Effective deep learning through bidirectional reading on masked language model“. In Human Systems Engineering and Design (IHSED 2021) Future Trends and Applications. AHFE International, 2021. http://dx.doi.org/10.54941/ahfe1001178.
Der volle Inhalt der QuelleKelly, Sean T., Andrea Lupini und Bogdan I. Epureanu. „Data-Driven Approach for Identifying Mistuning in As-Manufactured Blisks“. In ASME Turbo Expo 2021: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/gt2021-59887.
Der volle Inhalt der QuelleBerichte der Organisationen zum Thema "Modèle en masses neurales"
Semerikov, Serhiy O., Illia O. Teplytskyi, Yuliia V. Yechkalo und Arnold E. Kiv. Computer Simulation of Neural Networks Using Spreadsheets: The Dawn of the Age of Camelot. [б. в.], November 2018. http://dx.doi.org/10.31812/123456789/2648.
Der volle Inhalt der QuelleFessel, Kimberly. Machine Learning in Python. Instats Inc., 2024. http://dx.doi.org/10.61700/s74zy0ivgwioe1764.
Der volle Inhalt der QuelleEngel, Bernard, Yael Edan, James Simon, Hanoch Pasternak und Shimon Edelman. Neural Networks for Quality Sorting of Agricultural Produce. United States Department of Agriculture, Juli 1996. http://dx.doi.org/10.32747/1996.7613033.bard.
Der volle Inhalt der QuelleRoberson, Madeleine, Kathleen Inman, Ashley Carey, Isaac Howard und Jameson Shannon. Probabilistic neural networks that predict compressive strength of high strength concrete in mass placements using thermal history. Engineer Research and Development Center (U.S.), Juni 2022. http://dx.doi.org/10.21079/11681/44483.
Der volle Inhalt der QuelleAltstein, Miriam, und Ronald Nachman. Rationally designed insect neuropeptide agonists and antagonists: application for the characterization of the pyrokinin/Pban mechanisms of action in insects. United States Department of Agriculture, Oktober 2006. http://dx.doi.org/10.32747/2006.7587235.bard.
Der volle Inhalt der QuelleGalili, Naftali, Roger P. Rohrbach, Itzhak Shmulevich, Yoram Fuchs und Giora Zauberman. Non-Destructive Quality Sensing of High-Value Agricultural Commodities Through Response Analysis. United States Department of Agriculture, Oktober 1994. http://dx.doi.org/10.32747/1994.7570549.bard.
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