An architecture for adaptive replication-based multimedia streaming in P2P networks

This PhD thesis addresses the issue of scalable media streaming in large-scale networking environments. Multimedia streaming is one of the largest sink of network resources and this trend is still growing as testified by the success of services like Skype, Netflix, Spotify and Popcorn Time (BitTorrent-based). In traditional client-server solutions, when the number of consumers increases, the server becomes the bottleneck. To overcome this problem, the Content-Delivery Network (CDN) model was invented. In CDN model, the server copies the media content to some CDN servers, which are located in different strategic locations on the network. However, they require heavy infrastructure investment around the world, which is too expensive. Peer-to-peer (P2P) solutions are another way to achieve the same result. These solutions are naturally scalable, since each peer can act as both a receiver and a forwarder. Most of the proposed streaming solutions in P2P networks focus on routing scenarios to achieve scalability. However, these solutions cannot work properly in video-on-demand (VoD) streaming, when resources of the media server are not sufficient. Replication is a solution that can be used in these situations. This thesis specifically provides a family of replication-based media streaming protocols, which are scalable, efficient and reliable in P2P networks. First, it provides SCALESTREAM, a replication-based streaming protocol that adaptively replicates media content in different peers to increase the number of consumers that can be served in parallel. The adaptiveness aspect of this solution relies on the fact that it takes into account different constraints like bandwidth capacity of peers to decide when to add or remove replicas. SCALESTREAM routes media blocks to consumers over a tree topology, assuming a reliable network composed of homogenous peers in terms of bandwidth. Second, this thesis proposes RESTREAM, an extended version of SCALESTREAM that addresses the issues raised by unreliable networks composed of heterogeneous peers. Third, this thesis proposes EAGLEMACAW, a multiple-tree replication streaming protocol in which two distinct trees, named EAGLETREE and MACAWTREE, are built in a decentralized manner on top of an underlying mesh network. These two trees collaborate to serve consumers in an efficient and reliable manner. The EAGLETREE is in charge of improving efficiency, while the MACAWTREE guarantees reliability. Finally, this thesis provides TURBOSTREAM, a hybrid replication-based streaming protocol in which a tree overlay is built on top of a mesh overlay network. Both these overlays cover all peers of the system and collaborate to improve efficiency and low-latency in streaming media to consumers. This protocol is implemented and tested in a real networking environment using PlanetLab Europe testbed composed of peers distributed in different places in Europe.

The rare cancer network: ongoing studies and future strategy.

The Rare Cancer Network (RCN) was formed in the early 1990's to create a global network that could pool knowledge and resources in the studies of rare malignancies whose infrequency prevented both their study with prospective clinical trials. To date, the RCN has initiated 74 studies resulting in 46 peer reviewed publications. The First International Symposium of the Rare Cancer Network took place in Nice in March of 2014. Status updates and proposals for new studies were heard for fifteen topics. Ongoing studies continue for cardiac sarcomas, thyroid cancers, glomus tumors, and adult medulloblastomas. New proposals were presented at the symposium for primary hepatic lymphoma, solitary fibrous tumors, Rosai-Dorfman disease, tumors of the ampulla of Vater, salivary gland tumors, anorectal melanoma, midline nuclear protein in testes carcinoma, pulmonary lymphoepithelioma-like carcinoma, adenoid cystic carcinoma of the trachea, osteosarcomas of the mandible, and extra-cranial hemangiopericytoma. This manuscript presents the abstracts of those proposals and updates on ongoing studies, as well a brief summary of the vision and future of the RCN.

Modular support for developing mobile ad hoc applications

Abstract This PhD thesis addresses the issue of alleviating the burden of developing ad hoc applications. Such applications have the particularity of running on mobile devices, communicating in a peer-to-peer manner and implement some proximity-based semantics. A typical example of such application can be a radar application where users see their avatar as well as the avatars of their friends on a map on their mobile phone. Such application become increasingly popular with the advent of the latest generation of mobile smart phones with their impressive computational power, their peer-to-peer communication capabilities and their location detection technology. Unfortunately, the existing programming support for such applications is limited, hence the need to address this issue in order to alleviate their development burden. This thesis specifically tackles this problem by providing several tools for application development support. First, it provides the location-based publish/subscribe service (LPSS), a communication abstraction, which elegantly captures recurrent communication issues and thus allows to dramatically reduce the code complexity. LPSS is implemented in a modular manner in order to be able to target two different network architectures. One pragmatic implementation is aimed at mainstream infrastructure-based mobile networks, where mobile devices can communicate through fixed antennas. The other fully decentralized implementation targets emerging mobile ad hoc networks (MANETs), where no fixed infrastructure is available and communication can only occur in a peer-to-peer fashion. For each of these architectures, various implementation strategies tailored for different application scenarios that can be parametrized at deployment time. Second, this thesis provides two location-based message diffusion protocols, namely 6Shot broadcast and 6Shot multicast, specifically aimed at MANETs and fine tuned to be used as building blocks for LPSS. Finally this thesis proposes Phomo, a phone motion testing tool that allows to test proximity semantics of ad hoc applications without having to move around with mobile devices. These different developing support tools have been packaged in a coherent middleware framework called Pervaho.

Review of quantitative phase-digital holographic microscopy: promising novel imaging technique to resolve neuronal network activity and identify cellular biomarkers of psychiatric disorders.

Quantitative phase microscopy (QPM) has recently emerged as a new powerful quantitative imaging technique well suited to noninvasively explore a transparent specimen with a nanometric axial sensitivity. In this review, we expose the recent developments of quantitative phase-digital holographic microscopy (QP-DHM). Quantitative phase-digital holographic microscopy (QP-DHM) represents an important and efficient quantitative phase method to explore cell structure and dynamics. In a second part, the most relevant QPM applications in the field of cell biology are summarized. A particular emphasis is placed on the original biological information, which can be derived from the quantitative phase signal. In a third part, recent applications obtained, with QP-DHM in the field of cellular neuroscience, namely the possibility to optically resolve neuronal network activity and spine dynamics, are presented. Furthermore, potential applications of QPM related to psychiatry through the identification of new and original cell biomarkers that, when combined with a range of other biomarkers, could significantly contribute to the determination of high risk developmental trajectories for psychiatric disorders, are discussed.

GLUT2 surface expression and intracellular transport via the constitutive pathway in pancreatic beta cells and insulinoma: evidence for a block in trans-Golgi network exit by brefeldin A.

The biosynthesis, intracellular transport, and surface expression of the beta cell glucose transporter GLUT2 was investigated in isolated islets and insulinoma cells. Using a trypsin sensitivity assay to measure cell surface expression, we determined that: (a) greater than 95% of GLUT2 was expressed on the plasma membrane; (b) GLUT2 did not recycle in intracellular vesicles; and (c) after trypsin treatment, reexpression of the intact transporter occurred with a t1/2 of approximately 7 h. Kinetics of intracellular transport of GLUT2 was investigated in pulse-labeling experiments combined with glycosidase treatment and the trypsin sensitivity assay. We determined that transport from the endoplasmic reticulum to the trans-Golgi network (TGN) occurred with a t1/2 of 15 min and that transport from the TGN to the plasma membrane required a similar half-time. When added at the start of a pulse-labeling experiment, brefeldin A prevented exit of GLUT2 from the endoplasmic reticulum. When the transporter was first accumulated in the TGN during a 15-min period of chase, but not following a low temperature (22 degrees C) incubation, addition of brefeldin A (BFA) prevented subsequent surface expression of the transporter. This indicated that brefeldin A prevented GLUT2 exit from the TGN by acting at a site proximal to the 22 degrees C block. Together, these data demonstrate that GLUT2 surface expression in beta cells is via the constitutive pathway, that transport can be blocked by BFA at two distinct steps and that once on the surface, GLUT2 does not recycle in intracellular vesicles.

Validation of network communicability metrics for the analysis of brain structural networks.

Computational network analysis provides new methods to analyze the brain's structural organization based on diffusion imaging tractography data. Networks are characterized by global and local metrics that have recently given promising insights into diagnosis and the further understanding of psychiatric and neurologic disorders. Most of these metrics are based on the idea that information in a network flows along the shortest paths. In contrast to this notion, communicability is a broader measure of connectivity which assumes that information could flow along all possible paths between two nodes. In our work, the features of network metrics related to communicability were explored for the first time in the healthy structural brain network. In addition, the sensitivity of such metrics was analysed using simulated lesions to specific nodes and network connections. Results showed advantages of communicability over conventional metrics in detecting densely connected nodes as well as subsets of nodes vulnerable to lesions. In addition, communicability centrality was shown to be widely affected by the lesions and the changes were negatively correlated with the distance from lesion site. In summary, our analysis suggests that communicability metrics that may provide an insight into the integrative properties of the structural brain network and that these metrics may be useful for the analysis of brain networks in the presence of lesions. Nevertheless, the interpretation of communicability is not straightforward; hence these metrics should be used as a supplement to the more standard connectivity network metrics.

Firm's network capability and innovation performance: evidences from China hi-tech industry

ABSTRACT : A firm's competitive advantage can arise from internal resources as well as from an interfirm network. -This dissertation investigates the competitive advantage of a firm involved in an innovation network by integrating strategic management theory and social network theory. It develops theory and provides empirical evidence that illustrates how a networked firm enables the network value and appropriates this value in an optimal way according to its strategic purpose. The four inter-related essays in this dissertation provide a framework that sheds light on the extraction of value from an innovation network by managing and designing the network in a proactive manner. The first essay reviews research in social network theory and knowledge transfer management, and identifies the crucial factors of innovation network configuration for a firm's learning performance or innovation output. The findings suggest that network structure, network relationship, and network position all impact on a firm's performance. Although the previous literature indicates that there are disagreements about the impact of dense or spare structure, as well as strong or weak ties, case evidence from Chinese software companies reveals that dense and strong connections with partners are positively associated with firms' performance. The second essay is a theoretical essay that illustrates the limitations of social network theory for explaining the source of network value and offers a new theoretical model that applies resource-based view to network environments. It suggests that network configurations, such as network structure, network relationship and network position, can be considered important network resources. In addition, this essay introduces the concept of network capability, and suggests that four types of network capabilities play an important role in unlocking the potential value of network resources and determining the distribution of network rents between partners. This essay also highlights the contingent effects of network capability on a firm's innovation output, and explains how the different impacts of network capability depend on a firm's strategic choices. This new theoretical model has been pre-tested with a case study of China software industry, which enhances the internal validity of this theory. The third essay addresses the questions of what impact network capability has on firm innovation performance and what are the antecedent factors of network capability. This essay employs a structural equation modelling methodology that uses a sample of 211 Chinese Hi-tech firms. It develops a measurement of network capability and reveals that networked firms deal with cooperation between, and coordination with partners on different levels according to their levels of network capability. The empirical results also suggests that IT maturity, the openness of culture, management system involved, and experience with network activities are antecedents of network capabilities. Furthermore, the two-group analysis of the role of international partner(s) shows that when there is a culture and norm gap between foreign partners, a firm must mobilize more resources and effort to improve its performance with respect to its innovation network. The fourth essay addresses the way in which network capabilities influence firm innovation performance. By using hierarchical multiple regression with data from Chinese Hi-tech firms, the findings suggest that there is a significant partial mediating effect of knowledge transfer on the relationships between network capabilities and innovation performance. The findings also reveal that the impacts of network capabilities divert with the environment and strategic decision the firm has made: exploration or exploitation. Network constructing capability provides a greater positive impact on and yields more contributions to innovation performance than does network operating capability in an exploration network. Network operating capability is more important than network constructing capability for innovative firms in an exploitation network. Therefore, these findings highlight that the firm can shape the innovation network proactively for better benefits, but when it does so, it should adjust its focus and change its efforts in accordance with its innovation purposes or strategic orientation.

How to operate a university institute as a radiological emergency service?

The Institute of Radiation Physics (IRA) is attached to the Department of Medical Radiology at the Vaud University Hospital Center (CHUV) in Lausanne. The Institute's main tasks are strongly linked to the medical activities of the Department: radiotherapy, radiodiagnostics, interventional radiology and nuclear medicine. The Institute also works in the fields of operational radiation protection, radiation metrology and radioecology. In the case of an accident involving radioactive materials, the emergency services are able to call on the assistance of radiation protection specialists. In order to avoid having to create and maintain a specific structure, both burdensome and rarely needed, Switzerland decided to unite all existing emergency services for such events. Thus, the IRA was invited to participate in this network. The challenge is therefore to integrate a university structure, used to academic collaborations and the scientific approach, to an interventional organization accustomed to strict policies, a military-style command structure and "drilled" procedures. The IRA's solution entails mobilizing existing resources and the expertise developed through professional experience. The main asset of this solution is that it involves the participation of committed collaborators who remain in a familiar environment, and are able to use proven materials and mastered procedures, even if the atmosphere of an accident situation differs greatly from regular laboratory routines. However, this solution requires both a commitment to education and training in emergency situations, and a commitment in terms of discipline by each collaborator in order to be integrated into a response plan supervised by an operational command center.

Socioeconomic status, structural and functional measures of social support, and mortality: The British Whitehall II Cohort Study, 1985-2009.

The authors examined the associations of social support with socioeconomic status (SES) and with mortality, as well as how SES differences in social support might account for SES differences in mortality. Analyses were based on 9,333 participants from the British Whitehall II Study cohort, a longitudinal cohort established in 1985 among London-based civil servants who were 35-55 years of age at baseline. SES was assessed using participant's employment grades at baseline. Social support was assessed 3 times in the 24.4-year period during which participants were monitored for death. In men, marital status, and to a lesser extent network score (but not low perceived support or high negative aspects of close relationships), predicted both all-cause and cardiovascular mortality. Measures of social support were not associated with cancer mortality. Men in the lowest SES category had an increased risk of death compared with those in the highest category (for all-cause mortality, hazard ratio = 1.59, 95% confidence interval: 1.21, 2.08; for cardiovascular mortality, hazard ratio = 2.48, 95% confidence interval: 1.55, 3.92). Network score and marital status combined explained 27% (95% confidence interval: 14, 43) and 29% (95% confidence interval: 17, 52) of the associations between SES and all-cause and cardiovascular mortality, respectively. In women, there was no consistent association between social support indicators and mortality. The present study suggests that in men, social isolation is not only an important risk factor for mortality but is also likely to contribute to differences in mortality by SES.

Structural Analysis of Networks

Network analysis naturally relies on graph theory and, more particularly, on the use of node and edge metrics to identify the salient properties in graphs. When building visual maps of networks, these metrics are turned into useful visual cues or are used interactively to filter out parts of a graph while querying it, for instance. Over the years, analysts from different application domains have designed metrics to serve specific needs. Network science is an inherently cross-disciplinary field, which leads to the publication of metrics with similar goals; different names and descriptions of their analytics often mask the similarity between two metrics that originated in different fields. Here, we study a set of graph metrics and compare their relative values and behaviors in an effort to survey their potential contributions to the spatial analysis of networks.

Dynamic simulation of regulatory networks using SQUAD.

BACKGROUND: The ambition of most molecular biologists is the understanding of the intricate network of molecular interactions that control biological systems. As scientists uncover the components and the connectivity of these networks, it becomes possible to study their dynamical behavior as a whole and discover what is the specific role of each of their components. Since the behavior of a network is by no means intuitive, it becomes necessary to use computational models to understand its behavior and to be able to make predictions about it. Unfortunately, most current computational models describe small networks due to the scarcity of kinetic data available. To overcome this problem, we previously published a methodology to convert a signaling network into a dynamical system, even in the total absence of kinetic information. In this paper we present a software implementation of such methodology. RESULTS: We developed SQUAD, a software for the dynamic simulation of signaling networks using the standardized qualitative dynamical systems approach. SQUAD converts the network into a discrete dynamical system, and it uses a binary decision diagram algorithm to identify all the steady states of the system. Then, the software creates a continuous dynamical system and localizes its steady states which are located near the steady states of the discrete system. The software permits to make simulations on the continuous system, allowing for the modification of several parameters. Importantly, SQUAD includes a framework for perturbing networks in a manner similar to what is performed in experimental laboratory protocols, for example by activating receptors or knocking out molecular components. Using this software we have been able to successfully reproduce the behavior of the regulatory network implicated in T-helper cell differentiation. CONCLUSION: The simulation of regulatory networks aims at predicting the behavior of a whole system when subject to stimuli, such as drugs, or determine the role of specific components within the network. The predictions can then be used to interpret and/or drive laboratory experiments. SQUAD provides a user-friendly graphical interface, accessible to both computational and experimental biologists for the fast qualitative simulation of large regulatory networks for which kinetic data is not necessarily available.

Activity in inferior parietal and medial prefrontal cortex signals the accumulation of evidence in a probability learning task.

In an uncertain environment, probabilities are key to predicting future events and making adaptive choices. However, little is known about how humans learn such probabilities and where and how they are encoded in the brain, especially when they concern more than two outcomes. During functional magnetic resonance imaging (fMRI), young adults learned the probabilities of uncertain stimuli through repetitive sampling. Stimuli represented payoffs and participants had to predict their occurrence to maximize their earnings. Choices indicated loss and risk aversion but unbiased estimation of probabilities. BOLD response in medial prefrontal cortex and angular gyri increased linearly with the probability of the currently observed stimulus, untainted by its value. Connectivity analyses during rest and task revealed that these regions belonged to the default mode network. The activation of past outcomes in memory is evoked as a possible mechanism to explain the engagement of the default mode network in probability learning. A BOLD response relating to value was detected only at decision time, mainly in striatum. It is concluded that activity in inferior parietal and medial prefrontal cortex reflects the amount of evidence accumulated in favor of competing and uncertain outcomes.

MYC regulation of a "poor-prognosis" metastatic cancer cell state.

Gene expression signatures are used in the clinic as prognostic tools to determine the risk of individual patients with localized breast tumors developing distant metastasis. We lack a clear understanding, however, of whether these correlative biomarkers link to a common biological network that regulates metastasis. We find that the c-MYC oncoprotein coordinately regulates the expression of 13 different "poor-outcome" cancer signatures. In addition, functional inactivation of MYC in human breast cancer cells specifically inhibits distant metastasis in vivo and invasive behavior in vitro of these cells. These results suggest that MYC oncogene activity (as marked by "poor-prognosis" signature expression) may be necessary for the translocation of poor-outcome human breast tumors to distant sites.

Regulation of membrane trafficking and organ separation by the NEVERSHED ARF-GAP protein.

Cell separation, or abscission, is a highly specialized process in plants that facilitates remodeling of their architecture and reproductive success. Because few genes are known to be essential for organ abscission, we conducted a screen for mutations that alter floral organ shedding in Arabidopsis. Nine recessive mutations that block shedding were found to disrupt the function of an ADP-ribosylation factor-GTPase-activating protein (ARF-GAP) we have named NEVERSHED (NEV). As predicted by its homology to the yeast Age2 ARF-GAP and transcriptional profile, NEV influences other aspects of plant development, including fruit growth. Co-localization experiments carried out with NEV-specific antiserum and a set of plant endomembrane markers revealed that NEV localizes to the trans-Golgi network and endosomes in Arabidopsis root epidermal cells. Interestingly, transmission electron micrographs of abscission zone regions from wild-type and nev flowers reveal defects in the structure of the Golgi apparatus and extensive accumulation of vesicles adjacent to the cell walls. Our results suggest that NEV ARF-GAP activity at the trans-Golgi network and distinct endosomal compartments is required for the proper trafficking of cargo molecules required for cell separation.

MOLECULAR REORGANIZATION FOLLOWING SENSORY STIMULATION IN THE ADULT MOUSE BARREL CORTEX

Sensory information is an important factor in shaping neuronal circuits during development and adulthood. In the barrel cortex of adult rodents, cells from layer IV are able to adapt their functional state to an increased flow of sensory information from the mystacial whisker follicles. Previous studies in our group have shown that whisker stimulation induces the formation of inhibitory synapses in the corresponding barrel (Knott et al., 2002) and decreases neuronal responses toward the deflection of the stimulated whisker (Quairiaux et al., 2007). Together these observations have turned the barrel cortex into a model to study homeostatic plasticity. At the cellular level, neuronal activity triggers intracellular signaling cascades leading to a transcriptional response. To further characterize the molecular pathways involved in the synaptic changes after whisker stimulation in the adult mouse, a previous doctoral student in our group performed a microarray analysis on laser-dissected barrels in sections through layer IV. This study identified the regulation (up and down) of a series of genes in the stimulated barrels (thesis of Johnston-Wenger, 2010). We here focused on ten genes that presented the highest fold change according to the microarray analysis. Out of these genes, 7 are known as neuronal activity-dependent genes (Tnncl, Nptx2, Sorcs3, Ptgs2, Nr4a2, Npas4 and Adcyapl) whereas three have so far not been related to neuronal plasticity (Scn7a, Pcdhl5 and Cede3). The study aimed at confirming the results of the microarray analysis and localizing molecular modifications in the stimulated barrel column at the cellular level. In situ hybridization for Pcdhl5 after different periods of whisker stimulation (3, 6, 9, 15, 24 hrs) allowed us to confirm that the 1.25 fold change used for the microarray analysis is an appropriate threshold for considering a regulation significant after sensory-stimulation. Moreover, we confirmed with in situ hybridization a significant upregulation of the genes of interest in the stimulated barrels. In situ hybridization and immunohistochemistry allowed us to observe the distribution of the genes of interest and the corresponding protein products at the cellular level. Three observations were made: 1) alterations of the expression was restricted to the stimulated barrels for all genes tested; 2) within a barrel column not all cells responded to whisker stimulation with an altered gene expression; 3) in the stimulated barrels, two different patterns of mRNA and protein expression can be distinguished. We hypothesize that this segregation of the activity-induced gene expression reflects the segregation of the two principal thalamocortical pathways conveying the sensory information to the barrel cortex. Moreover, only neurons reaching the critical threshold will modify their gene expression program resulting in structural as well as physiological modifications that prevent the subsequent propagation of the excess of excitation to the postsynaptic targets. The activity-induced gene expression is therefore adapted in a cell-type-specific manner to induce a homeostatic response to the entire neuronal network involved in the integration of the sensory information. This to our knowledge the first study showing the distinct, but complementary contribution of the two thalamocortical pathways in experience-dependent plasticity in the adult mouse barrel cortex. -- L'information sensorielle nous permet de continuellement façonner nos circuits neuronaux autant durant le développement qu'à l'âge adulte. Chez le rongeur l'information sensorielle perçue par les vibrisses est intégrée au niveau du cortex somatosensoriel primaire (appelé en anglais « barrel cortex ») dont les cellules de la couche IV sont capables d'adapter leur état fonctionnel en réponse à une augmentation d'activité neuronale. Ce modèle expérimental a permis à notre groupe de recherche d'observer des changements rapides du circuit neuronal en fonction de l'activité sensorielle. En effet, la stimulation continue d'une vibrisse d'une souris adulte pendant 24 heures induit non seulement un remaniement synaptique (Knott et al., 2002), mais également des changements physiologiques au niveau des neurones du tonneau correspondant (Quairiaux et al., 2007). Ces observations nous permettent d'affirmer que le « barrel cortex » est un modèle approprié pour y étudier la plasticité synaptique. Au niveau cellulaire, l'activité neuronale déclenche des cascades de signalisation intracellulaire résultant en une réponse transcriptionnelle. Afin de caractériser les voies moléculaires impliquées dans la plasticité synaptique, une puce à ARN nous a permis de comparer l'expression de gènes entre un tonneau correspondant à une vibrisse stimulée et un tonneau d'une vibrisse non-stimulée (Nathalie). Cette analyse a révélé un certain nombre de gènes régulés de manière positive ou négative par l'augmentation de l'activité neuronale. Nous nous sommes concentrés sur 10 gènes dont l'expression est fortement régulée. L'expression de sept d'entre eux a déjà été démontrée comme dépendante de l'activité neuronale (Tnncl, Nptx2, Sorcs3, Ptgs2, Nr4a2, Npas4 otAdcyapl) alors que l'expression des trois autres (Scn7a, Pcdhl5 et Cedei) n'a pour le moment pas encore été liée à la plasticité neuronale. Le but de cette thèse est de confirmer les résultats de la puce à ARN et de déterminer dans quel type cellulaire ces gènes sont exprimés. L'hybridation in situ pour le gène Pcdhl5, après différentes périodes de stimulation des vibrisses (3, 6, 9, 15 et 24 heures), nous a permis de confirmer que le seuil de 1.25x utilisé dans l'analyse de la puce à ARN est approprié pour considérer qu'un gène est régulé de manière significative par la stimulation sensorielle. Nous avons également pu confirmer à l'aide de cette technique que la stimulation sensorielle augmente significativement l'expression de ces dix gènes. L'expression de ces gènes au niveau cellulaire a été observée à l'aide des techniques d'hybridation in situ et d'immunohistochimie. Trois observations ont été faites : 1) la régulation de ces gènes est restreinte aux tonneaux correspondants aux vibrisses stimulées ; 2) au niveau d'une colonne corticale correspondant aux vibrisses stimulées, seules certaines cellules présentent une altération de leur expression génique ; 3) au niveau des tonneaux stimulés, deux profils d'expression d'ARNm et de protéines sont observés. Notre hypothèse est que cette distribution pourrait correspondre à la terminaison ségrégée des deux voies thalamocortical qui amènent l'information sensorielle dans le cortex cérébral. De plus, seul les neurones atteignant le seuil critique d'activation modifient leur expression génique en réponse à la stimulation sensorielle. Ces changements d'expression géniques vont permettre à la cellule de modifier ses propriétés structurales et physiologiques de manière a prevenir la propagation d'un excès d'activité neuronale au niveau de ses cibles postsynaptics. L'activité neuronale agit donc spécifiquement sur certains types cellulaires de maniere a induire une réponse homéostatique au niveau du réseau neuronal impliqué dans l'integration de l'information sensorielle. Nos travaux démontrent pour une première fois que les deux voies sensorielles contribuent d'une manière distincte et complémentaire à la plasticité corticale induite par un changement de l'activité sensorielle chez la souris adulte.