Tesis sobre el tema "Acquisition de données long terme"
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Striegel, Lucas. "Etudes numérique et expérimentale de récupérateurs d’eaux pluviales enterrés géothermiques pour le rafraîchissement passif des bâtiments". Electronic Thesis or Diss., Strasbourg, 2024. https://publication-theses.unistra.fr/restreint/theses_doctorat/2024/STRIEGEL_Lucas_2024_ED269.pdf.
Texto completoIn the face of climate change, characterized by longer and more intense heatwaves, as well as irregular availability of water resources, it is essential to provide energy-efficient solutions to strengthen the resilience of buildings. Underground rainwater tanks are increasingly being exploited as systems for managing and storing water. By immersing a heat exchanger in the tank, it is possible to harness the geothermal effect of the water and surrounding soil to passively cool buildings. This research aims to study the performance and feasibility of these hybrid systems. A numerical model was developed and validated using data collected from the monitoring of full-scale prototypes over a period of nearly three years. The model was used to highlight the key factors influencing the system. The model was used to identify the factors influencing the system. Presizing rules were then established to assess the amount of energy that could potentially be recovered. The system model was then integrated into a building energy simulation tool to assess the gains in terms of occupant comfort
Pirotte, Alain. "Court terme et long terme en économétrie : l'apport de la cointégration aux données de panel". Paris 12, 1994. http://www.theses.fr/1994PA122009.
Texto completoPic, Xavier. "Algorithmes de codage pour le stockage à long terme d'images numériques sur de l'ADN synthétique". Electronic Thesis or Diss., Université Côte d'Azur, 2024. https://theses.hal.science/tel-04808336.
Texto completoThe current digital world is facing a number of issues, some of them linked to the amount of data that is being stored. The current technologies available as an offer to store data are not enough to store the totality of the storage demand. For this reason, new data storage technologies have to be developed. DNA molecules are one of the candidates available for novel data storage methods. The long lifespan of these molecules make it a good fit for the archival of data that is rarely accessed but needs to be stored for long periods of time. This data, often called “cold”, represents approximately 80% of the data in our digital universe. But DNA uses 4 symbols (A,C,G and T) to encode data against the usual binary code (0,1). For this reason, storing data into DNA requires a specific encoding system capable of translating a binary data stream into a quaternary data stream. In this thesis we will focus on new encoding methods from the Deep Learning state of the art, and we will adapt those methods for the encoding, decoding, compression and decompression of images on synthetic DNA
Dongmo-Kengfack, José Nadège. "Les relations de long terme entre la notation des banques par les agences et leur valorisation". Thesis, Université de Lorraine, 2014. http://www.theses.fr/2014LORR0319/document.
Texto completoThe distinctiveness and uniqueness of this research lies in the fact that it studies the long-term effects of credit rating on the value of banks rather than its immediate impact on the shares’ market price. The context of this research is the subprime crisis period of 2007-2008 during which banking stocks declined dramatically. This crisis caused a reawakening of interest in the study of credit rating and its impact on rated companies, especially when the rated companies are banks. The central question is to know how and to what extent credit rating helps to explain the long-term valuation of banks. How does the bank rating affect their performance, their governance, their capital structure, and therefore their value? Reciprocally, how does banks valuation impact their credit ratings? Our research follows the path of previous studies showing the impact of credit rating on the value of companies, but our approach is different. On one hand we focus only on the banking sector which is particular, and where the impact of credit rating can be different and stronger than on the other companies or industrial groups. On other hand we mobilize corporate governance approach that highlights the link between governance and valuation (Charreaux G., 1997; Gompers et al., 2003, Rob Bauer et al., 2003; Barth, Caprio and Levine, 2004; Levine, 2004). We also mobilize the neo-institutional theory developed by Meyer and Rowan (1977), Scott and Meyer (1983), DiMaggio and Powell (1991, 1997) and North (1990) that highlights the impact of institutions on organizations, their management and performance. These two approaches allow us to describe and analyze the ways and means by which credit rating can impact banks values in the long term, particularly by inspiring banks to use the “best practices” disseminated in the rating methodologies for banks. We try to empirically validate this analysis through a quantitative and econometric approach, using data from international databases such as Bloomberg, Bankscope and Fininfo about 161 large banks from 18 countries over the period 2001 to 2010. After building uniform credit rating indicators, we use bivariate analysis, regressions on panel data, Granger causality tests and multinomial logit model to test our assumptions. Our results show that one notch downgrade of a bank financial strength rating seems to cause a significant decrease of its valuation. This impact is not significant in a crisis period. The effect of the issuer credit rating on bank valuation is not significant. However, Granger causality tests show a feedback loop between the issuer credit rating, the weighted average cost of debt and the size of banks. The results of a logit multinomial model show that the bank financial strength ratings assigned by the rating agencies are influenced by the bank valuation indicators only for the years 2008 and 2009
Rakotonjanahary, Ndrianjaka Josué. "Suivi à long terme des enfants traités pour gliome des voies optiques par chimiothérapie première BB-SFOP : survie à long terme - perte de la vision - outil d'interprétation des données IRMs". Thesis, Strasbourg, 2018. http://www.theses.fr/2018STRAJ116.
Texto completoOptic Pathway Gliomas (OPG) are benign tumors that typically develop during early childhood. The management of patients varied throughout the last decades and was characterized by an emphasis on avoiding the use of radiotherapy. The role of chemotherapy in the management of OPG has increased. MRI is one of the fundamental elements of the management of these children. However, the tumor measurements are subject to inter and/or intraobserver variations. In an attempt to better understand the long-term outcomes of children treated with initial chemotherapy, long-term outcomes of OPG treated in France with up-front BB-SFOP chemotherapy were evaluated. A standardized and reproducible imaging classification for MRI that can be used as a reliable monitoring tool for patients with OPG was created and validated. The long-term outcomes of these patients showed a poorer prognosis for overall survival. Some clinical and radiological factors were associated with long-term vision loss. These findings could justify a risk-based approach to this tumor
Dhomps, Anne-Lise. "Améliorations des méthodes de combinaison des données Argo et altimétrie pour le suivi des variations à long terme de l'océan". Toulouse 3, 2010. http://thesesups.ups-tlse.fr/1299/.
Texto completoThe objective of this thesis is to analyze the oceanic variability in temperature and salinity over the period 1993-2008. For that purpose, it is necessary to use the maximum of observations available, namely in situ data of temperature and salinity, but also satellite data of sea surface temperature and sea height. To reach our objective, several steps are necessary: create a solid and coherent database, compare datasets to have a better physical understanding of the contents of every type of data then develop methods of combination to assemble the datasets. The cross-comparison of the altimetric and Argo datasets allows at first to verify the quality of the Argo dataset. In 2006, Guinehut and al published a paper on the comparison of SLA (Sea Level Anomaly) and DHA (Dynamic Height Anomaly). Today, the Argo dataset allows improving the comparisons. We explain why and we detail the differences between both studies. We also study the impact of the removal of the seasonal cycle and the influence of the vertical structure of the ocean in the barotrope / barocline distribution of the oceanic circulation. We end on the analysis of the SLA-DHA signal in term of seasonal and inter-annual circulation at 1000 meters deep. Armor3d Field, combination of satellite fields and in situ profiles exist for several years. The recent dataset supplied by Argo profilers allows improving considerably the parameters of the combination, to cover a better geographical zone and to have deeper fields. We show that both types of measures are needed, even to study the large scale variability of the ocean. Finally, we use our Armor3d fields to study the oceanic variability of the last 16 years
Choffin, Benoît. "Algorithmes d’espacement adaptatif de l’apprentissage pour l’optimisation de la maîtrise à long terme de composantes de connaissance". Electronic Thesis or Diss., université Paris-Saclay, 2021. http://www.theses.fr/2021UPASG001.
Texto completoBetween acquiring new knowledge and reviewing old knowledge to mitigate forgetting, learners may find it difficult to organize their learning time effectively. Adaptive spacing algorithms, like SuperMemo, can help learners deal with this trade-off. Such algorithms sequentially plan reviews of a given piece of knowledge to adapt to the specific and ongoing needs of each learner. Compared to a fixed and identical temporal spacing between reviews, several experiments have shown that adaptive spacing improves long-term memory retention of the piece of knowledge.To date, research on adaptive spacing algorithms has focused on the pure memorization of simple pieces of knowledge, which are often represented by flashcards. However, several studies in cognitive psychology have shown that the benefits of spacing out learning episodes on long-term retention also extend to more complex knowledge, such as learning concepts and procedures in mathematics. In this thesis, we have therefore sought to develop adaptive and personalized spacing algorithms for optimizing long-term mastery of knowledge components (KCs).First, we develop and present a new statistical model of learning and forgetting of knowledge components, coined DAS3H, and we empirically show that DAS3H has better predictive performance than several learner models in educational data mining. Second, we develop several adaptive spacing heuristics for long-term mastery of KCs and compare their performance on simulated data. Two of these heuristics use the DAS3H model to select which KC should be reviewed by a given learner at a given time. In addition, we propose a new greedy procedure to select the most promising subset of KCs instead of the best KC to review. Finally, in the last chapter of this thesis, we develop AC4S, a deep reinforcement learning algorithm for adaptive spacing for KCs. We compare this data-driven approach to the heuristic methods that we presented previously
Dimopoulou, Melpomeni. "Techniques de codage pour le stockage à long terme d’images numériques dans l’ADN synthétique". Thesis, Université Côte d'Azur, 2020. http://www.theses.fr/2020COAZ4073.
Texto completoData explosion is one of the greatest challenges of digital evolution, causing the storage demand to grow at such a rate that it cannot compete with the actual capabilities of devices. The digital universe is forecast to grow to over 175 zettabytes by 2025 while 80% is infrequently accessed (“cold” data), yet safely archived in off-line tape drives due to security and regulatory compliance reasons. At the same time, conventional storage devices have a limited lifespan of 10 to 20 years and therefore should be frequently replaced to ensure data reliability, a process which is expensive both in terms of money and energy. Recent studies have shown that due to its biological properties, DNA is a very promising candidate for the long-term archiving of “cold” digital data for centuries or even longer under the condition that the information is encoded in a quaternary stream made up of the symbols A, T, C and G, to represent the 4 components of the DNA molecule, while also respecting some important encoding constraints. Pioneering works have proposed different algorithms for DNA coding leaving room for further improvement. In this thesis we present some novel image coding techniques for the efficient storage of digital images into DNA. We implemented a novel fixed length algorithm for the construction of a robust quaternary code that respects the biological constraints and proposed two different mapping functions to allow flexibility according to the encoding needs. Furthermore, one of the main challenges of DNA data storage being the expensive cost of DNA synthesis, we make a very first attempt to introduce controlled compression in the proposed encoding workflow. The, proposed codec is competitive compared to the state of the art. Furthermore, our end-to-end coding/decoding solution has been experimented in a wet lab experiment to prove feasibility of the theoretical study in practice
Troude, Pénélope. "Devenir à long terme de couples traités par fécondation in vitro dans la cohorte DAIFI". Phd thesis, Université Paris Sud - Paris XI, 2013. http://tel.archives-ouvertes.fr/tel-00933360.
Texto completoRodriguez, Chavez Mario-Luis. "Anticipation de l'accès à la ressource granulats par rupture des schémas actuels à long terme". Phd thesis, École Nationale Supérieure des Mines de Paris, 2010. http://pastel.archives-ouvertes.fr/pastel-00563707.
Texto completoGiusti, Marion. "Apport des données hydroacoustiques pour l'étude de la sismicité de la dorsale médio-Atlantique nord". Thesis, Brest, 2019. http://www.theses.fr/2019BRES0023/document.
Texto completoThe mid-ocean ridge is caracterised by a seismicity of low magnitude generated by multiple volcanic and tectonic episodes. Autonomous hydrophones arrays along large ridge sections are efficient to record low seismicity contrary to landbased stations. In the northern Atlantic Ocean, several hydroacoustic experiments have been realised since 1999 that supply long term records.This thesis is based on the acquisition and the treatment of new data. The analysis of teleseismic and hydroacoustic catalogues combined with bathymetric and gravimetric data, have contributed to the characterisation of accretionary processes along the northern Mid-Atlantic Ridge. This PhD work allowed : (1) to research parameters responsable of a seismicity difference between groups of Mid-Atlantic Ridge segments; (2) to propose a new southern limit of the Azores hotspot influence ; (3) to identify and define different types of seafloor spreading processes based on seismic crisis interpretations ; (4) to highlight a large magmatic crisis and a magmatic intrusion across a non-transform discontinuity ; and (5) to propose dominant seafloor spreading processes from a spatio-temporal seismicity analysis along the northern Mid-Atlantic Ridge. The entire study shows the value of large spatial and temporal seismicity catalogues to broaden our knowledge on : the dynamic of the ridge segments, the interactions between the ridge axis and the hotspot and the recurrence of the seafloor spreading processes
Klotz, Rémi. "Analyse sur le long terme des complications médicales chez les blessés médullaires tétraplégiques vivant à domicile : données de l'enquête TETRAFIGAP sur 1668 patients". Bordeaux 2, 1998. http://www.theses.fr/1998BOR23029.
Texto completoMeneses-Provoste, Gianina. "Analyse à court et long terme de la déformation de la plaque supérieuredans la zone de subduction du nord du Chili avec des données GPS et d'inclinométrie". Thesis, Paris Sciences et Lettres (ComUE), 2018. http://www.theses.fr/2018PSLEE022/document.
Texto completoSubduction zones involve the recycling of oceanic lithosphere in the convective mantle to form continental crust by upward migration of the melted part of the slab. In this long-term process, the upper plate accumulate stresses that are instantaneously released in the form of earthquakes, repeating over a cyclic process: the subduction earthquake cycle (SEC). Nevertheless, fast slip on faults is not the only process contributing to the deformation during the SEC. For instance, the low frequency process of aseismic slip is observed in the form of steady fault creeping and transient slow slip. Examples of the latest are the phenomenon of afterslip, and slow slip earthquakes (SSEs) with much longer durations than ''normal'' earthquakes. Of the same importance is the effect of stress induced by an earthquake in the mantle. Because it behaves like a viscoelastic body, the mantle will relax this stress during a slow, long-lasting (up to decades) and large-scale (up to thousands of km) deformation process. All these phenomena impact the upper plate deformation and have to be considered in slip budget analysis over the SEC in order to obtain the real estimation of the seismic hazard of a region. Following this premise, the principal motivation of this work is to contr ibute to the determination of the actual locking state of the north seismic gap of the Chilean subduction zone. The main part of this study was conducted along two directions: analyzing and interpreting both short-term (days, weeks) and long-term (several years) transient deformations detected by permanent GPS stations deployed in north Chile. First, with an exhaustive search for short-term transient signals in 15-years long geodetic time series, we aim at contributing to the current debate of whether slow slip events do occur in the Chilean subduction zone or not. Up to now, only a single and debated case of slow slip associated to the nucleation phase of Iquique 2014 has been reported. Our results, obtained after thorough filtering and analysis of the times series devoted to reduce their inherent noise, indicate the existence of only 3 events that are likely to correspond to small episodes of aseismic slip. They occur between 2009 and 2011, with durations of few weeks and amplitudes that do not exceed 4 mm. Additionally, the occurrence of the larger aseismic slip episode simultaneous to the foreshock activity of Iquique 2014 earthquake is confirmed, and the analysis is pushed further with the help of long-base tiltmeter records. Thanks to this refined analysis and to the sensitivity of this instrument, 4 distinct slow slip events can be identified in the larger region of slow slip revealed by GPS data, occurring during the 3 months previous to the mainshock with magnitudes ranging between Mw 5.8 and 6.2. Finally, a longterm analysis of the same cGPS time series was conducted in order to identify small but significant changes of trends over long durations. Available data indicate a long-term decrease of the upper plate deformation after the intermediate depth earthquake of Tarapaca 2005 (Mw 7.7). We test the viscoelastic effect of the asthenosphere on surface deformation triggered by deep failure (~ 100 km depth). For this, we build a realistic 3D viscoelastic finite element model and tried Maxwell and Burgers viscoelastic rheologies. We find a very good correspondence between the observed postseismic signal associated to this event and the modeled postseismic deformation using a Burgers rheology with a long-term viscosity of 1.9e+18 Pa s, challenging the hypothesis of a decrease of interseismic coupling eventually leading to the megathrust failure of Iquique
Blanc-Lapierre, Audrey. "Effets chroniques des pesticides sur le système nerveux central : données épidémiologiques en milieu agricole". Thesis, Bordeaux 2, 2012. http://www.theses.fr/2012BOR21958/document.
Texto completoGiven the number of exposed persons, long term effects of pesticides are a foremost Public Health concern. However their study raises complex methodological issues. Our objective was to contribute to the knowledge of the pesticide chronic effects on the central nervous system by exploring the role of organophosphate insecticides in occurence of cognitive disorders by an innovative epidemiological approach. Two exposure assessment tools were developed (a crop exposure matrix: PESTIMAT and algorithms based on field studies: PESTEXPO) to estimate the lifetime cumulated exposure to 34 organophosphate insecticides used in vineyards, taking into account pesticide exposure during tasks (mixing, spraying, cleaning, re-entry) performed by wine-growers. These tools were used in the framework of the first follow-up (2001-2003) of the PHYTONER cohort, initiated in 1997 by the enrollment of 925 workers affiliated to the farmer health insurance system in Gironde, France. Cumulative organophosphate exposure defined by an index using the two tools was associated with poor cognitive performances, particularly for tests exploring the visual working memory and the processing speed. Risk level varied depending on the organophosphate, and was more pronounced for mevinphos. This thesis supports the hypothesis that cognitive impairment may be associated with pesticide occupational use and raises the question of a further evolution towards dementia. It also demonstrated the feasibility and the relevance of an approach based on chemical specific exposure scores to analyze health effects
Fargevieille, Amélie. "Sélection sexuelle et évolution des ornements femelles : une étude de la coloration du plumage femelle utilisant des analyses comparatives et des jeux de données à long terme issus de populations de mésange bleue (Cyanistes caeruleus)". Thesis, Montpellier, 2016. http://www.theses.fr/2016MONTT127/document.
Texto completoOrnamental traits are classically associated with males in animal species. The asymmetrical view is related to sex roles, in which males are competing (intra-sexual selection) to attract females which chose the best mate (intersexual selection). This idea was developed with the concept of anisogamy, the asymmetry in the production of male and female gametes. Females producing few but large gametes maximize their offspring survival rate by investing more in parental care; they become the limiting sex and chose males which are thus competing for access to reproduction. Then, any ornamental trait increasing pairing success would become advantageous for males, leading to more developed secondary sexual traits in this sex. If ornamental traits are more frequent in males, there are also many examples with females, especially in socially monogamous species with biparental care. Evolutionary biologists have only started recently to test processes explaining the outbreak and maintenance of female ornaments. Genetic correlation is an unquestionable process involved in this evolution, and social selection is also a major process. Several empirical studies have also related male mate choice to female ornaments and theoretical models have defined key parameters driving the evolution of male mate choice. Furthermore, phylogenetical studies retracing the evolution of ornaments have showed a high lability in female traits, with more frequent gains and losses of ornamental traits in females compared to males. In order to link sexual selection to the evolution of female ornaments, this thesis was based on these previous achievements to develop different approaches to better understand the role of sexual selection in the evolution and maintenance of female colouration. Comparative methods in songbirds tested the key parameters defined by theoretical models as driving the evolution of male mate choice. In line with theoretical models, results highlight the importance of male investment in parental care in the evolution of female plumage colouration. They also show how female initial investment in reproduction limits this evolution. Another thesis axis focused on colouration in a monogamous species, the Blue tit Cyanistes caeruleus, using a large dataset across 10 years in four populations and tested in particular (i) the strength of genetic correlation, (ii) relations between proxies of reproductive success and colouration and (iii) the existence of assortative mating in this species. The main results highlight a strong genetic correlation and a wide spatiotemporal variation and the use of meta-analyses revealed correlation between female colouration and proxies of reproductive success as well as a weak but positive pattern of assortative mating on the two measured patches (crown and chest). Both sides of the thesis represent new insights in favour of the evolution of female ornaments. They also highlight the complexity associated with their evolution and the importance of considering spatiotemporal variation for extensive understanding and generalisation
Rougieux, Paul. "Modelling European Forest Products Consumption and Trade in a Context of Structural Change". Thesis, Université de Lorraine, 2017. http://www.theses.fr/2017LORR0004/document.
Texto completoForests in the European Union grow by 1.2 billion m³ per year. Half of this volume stays in the forest, in particular for sustainable forest management purposes. The other half flows into three industrial sectors: wooden material, paper products and wood energy. These industrial product flows are set into motion and paid for by diverse final consumers. Since 2000, consumption is undergoing important structural changes which cause large disturbances in material, paper and fuel flows. To predict the impact of these changes, economists model relationships between raw material supply, final products demand, prices, production and international trade. This thesis uses panel data econometrics to estimate parameters of empirical models. An introductory chapter sets the policy context of forest resources and forest products of interest at a macroeconomic level. Then I review major forest sector models and I focus on issues encountered while estimating parameters of demand models. A second chapter investigates the potential impact of a trade agreement between the EU and the US on the forest sector. We found that total welfare would increase in the region of the agreement, in addition the agreement benefits more to consumers than to producers. Results show that third party countries are impacted by the agreement too, which highlights the importance of using a global trade model in analysing the impacts of the agreement. In a third chapter I estimate revenue and price elasticities of demand for forest products on a panel of European countries. I deal with non stationarity issues and estimate demand elasticities within cointegrated panels. I demonstrate that revenue elasticities of demand are lower than previous estimates from the literature. Simulations using these robust elasticities in a forest sector model, show a lower demand over a 20 years time horizon. In a fourth chapter, I analyse structural changes in paper products consumption. For this purpose, I use a panel threshold model to estimate the relationship between information technology use and paper products consumption: newsprint, printing and writing paper. I show how paper demand elasticities depend on internet penetration in the population. Thresholds occur once a majority of the population has access to the internet. After the threshold, coefficients between paper consumption and its explanatory variables revenue and price become smaller in absolute terms or even change sign. Based on projections of the number of internet users per country, paper consumption projections could be updated with this type of thresholds models. From a policy perspective, lower demand for graphics paper would free resources and make them available for innovative forest products and services
Derot, Jonathan. "Utilisation des données de MAREL Carnot pour la compréhension des mécanismes des extrêmes dans la qualité des eaux à Boulogne-sur-Mer". Thesis, Littoral, 2014. http://www.theses.fr/2014DUNK0375/document.
Texto completoThe main objective of this thesis is the characterization of high frequency dynamics in coastal areas and in particular their extremes, through the study of long-term biodeochemical time series registered by automated systems. The majority of high-frequency data sets used in this study came from MAREL program. The low-frequency time series from coastal monitoring programs SOMLIT (CNRS, INSU) and SRN (Ifremer) are employed to support the importance of automated systems. The EMD (Empirical Mode decomposition) method has provided a basis for us to study several of these time series. We also have used some methods more classical borrowed from numerical analysis field and turbulence. This study is organized in three chapters, and several appendices. The first chapter is devoted to the material and method. In the second chapter, using the EMD method we have highlighted the strong fluctuations contained in the blooms, and we have performed spectral analyzes. The principal component analysis (PCA) highlighted the main forcing exerted on primary production and SOMLIT temperature profiles suggest an impact of stratification on the intensity of blooms. In the third chapter, we conducted a comparative study between low-frequency and high-frequency data. Two cross-correlation methods (TDIC and co-spectra) allowed us to define a characteristic transition scale between the temperatures of the western and eastern English Cahnnel. In appendices we tested the robustness of different spectral analysis methods about the missing data in the time series, which is an underlying problem in the database registered by automated systems, and we reproduce a paper, which is under submission
Legendre, Arnaud. "Modélisation fonctionnelle de l'activité neuronale hippocampique : Applications pharmacologiques". Thesis, Mulhouse, 2015. http://www.theses.fr/2015MULH7271/document.
Texto completoThe work of this thesis aims to apply modeling and simulation techniques to mechanisms underlying neuronal activity, in order to promote drug discovery for the treatment of nervous system diseases. The models are developed and integrated at different scales: 1) the so-called "elementary models" permit to simulate dynamics of receptors, ion channels and biochemical reactions in intracellular signaling pathways; 2) models at the neuronal level allow to study the electrophysiological activity of these cells; and 3) microcircuits models help to understand the emergent properties of these complex systems, while maintaining the basic mechanisms that are the targets of pharmaceutical molecules. After a bibliographic synthesis of necessary elements of neurobiology, and an outline of the implemented mathematical and computational tools, the manuscript describes the developed models, as well as their validation process, ranging from the neurotransmitter receptor to the microcircuit. Moreover, these developments have been applied to three studies aiming to understand: 1) pharmacological modulation of the long-term potentiation (LTP) of glutamatergic synapses in the hippocampus, 2) mechanisms of neuronal hyperexcitability in the mesial temporal lobe epilepsy (MTLE), based on in vitro and in vivo experimental results, and 3) cholinergic modulation of hippocampal activity, particularly the theta rhythm associated with septo-hippocampal pathway
Chaumont, Marc. "Représentation en objets vidéo pour un codage progressif et concurrentiel des séquences d'images". Phd thesis, Université Rennes 1, 2003. http://tel.archives-ouvertes.fr/tel-00004146.
Texto completoB'Chir, Imène. "Performance à long terme des fusions-acquisitions canadiennes". Mémoire, 2011. http://www.archipel.uqam.ca/4287/1/M12245.pdf.
Texto completovan, der Beek Pieter. "L'érosion à long terme et l'évolution du relief continental: modélisations numériques et données contraignantes". Habilitation à diriger des recherches, 2003. http://tel.archives-ouvertes.fr/tel-00010316.
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