Academic literature on the topic 'Cortex Visuel Primaire (CVP)'
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Journal articles on the topic "Cortex Visuel Primaire (CVP)"
Trotter, Y., and S. Celebrini. "Le cortex visuel primaire ne se contente pas de voir, il localise dans l'espace." médecine/sciences 15, no. 5 (1999): 718. http://dx.doi.org/10.4267/10608/1415.
Full textDissertations / Theses on the topic "Cortex Visuel Primaire (CVP)"
Remy, Irving. "Les fonctions visuelles rétiniennes et corticales dans les troubles du spectre de la schizophrénie et les situations à risque de psychose." Electronic Thesis or Diss., Strasbourg, 2024. http://www.theses.fr/2024STRAJ030.
Full textPsychotic disorders are characterized by severe functional consequences, with emerging evidence of impairment in low-level visual functions. Most notably, the anatomical and functional link between the retina and the visual cortex led to hypotheses concerning the association between alterations in both visual stages. We investigated retinal and cortical visual electrophysiological measurements in schizophrenia spectrum disorders and situations at risk of psychosis, of which regular cannabis use and early phases of psychosis are an integral part. The results highlighted alterations in most retinal cells and deficits in the primary visual cortex, with a potential link between both measures in schizophrenia. The relevance of electrophysiological biomarkers also lies in the link described with psychotic symptoms, motivating them to be used more widely in clinical practice to improve diagnosis
BRINGUIER, VINCENT. "Oscillations et integration neuronale dans le cortex visuel primaire." Paris 6, 1995. http://www.theses.fr/1995PA066274.
Full textMonier, Cyril. "Diversité fonctionnelle de l'intégration synaptique dans le cortex visuel primaire." Paris 6, 2002. http://www.theses.fr/2002PA066494.
Full textCharbonneau, Valérie. "Caractérisation des connexions du cortex visuel primaire chez deux modèles de souris aveugles." Thèse, Université du Québec à Trois-Rivières, 2011. http://depot-e.uqtr.ca/1230/1/030175007.pdf.
Full textLaramée, Marie-Eve. "Facteurs déterminant la structure des afférences et efférences du cortex visuel primaire chez la souris." Thèse, Université du Québec à Trois-Rivières, 2012. http://depot-e.uqtr.ca/6176/1/030405512.pdf.
Full textReynaud, Alexandre. "Rôle fonctionnel des interactions latérales dans l'intégration du mouvement visuel : étude en imagerie optique au niveau du cortex visuel primaire du singe éveillé." Thesis, Aix-Marseille 2, 2010. http://www.theses.fr/2010AIX22129/document.
Full textOur goal is to study motion integration at population level in V1 in the awake behaving onkey. We compare V1population recorded with optical imaging of voltage sensitive dyes with ocular following response.We have shown that contrast response function in V1 is controlled by a dynamic normalization pool. Then we identified two distinct mechanisms involved in contextual modulations: a fast transient one originating from MT and a show and sustained one, originating from V1. Finally, we have observed that cortical activity dynamics in presponse to apparent motion can induce a suppression wave at acortical surface
René, Alice. "Plasticité synaptique et fonctionnelle dans le cortex visuel primaire : une étude par conditionnement theta - burst in vivo." Paris 6, 2007. http://www.theses.fr/2007PA066656.
Full textSeriès, Peggy. "Étude théorique des modulations centre/pourtour des propriétés des champs récepteurs du cortex visuel primaire : circuits, dynamiques et corrélats perceptifs." Paris 6, 2002. http://www.theses.fr/2002PA066333.
Full textThe response of primary visual cortex (V1) neurons to a stimulus presented within the receptive field can be modulated by the stimulation of the surround of the receptive field. The origin and functional role of these " center/surround " modulations is yet poorly understood. Using computational methods in interaction with electrophysiological and psychophysical approaches, we try to answer 2 questions : What are the circuits responsible for the diversity of these phenomena ? We provide theoretical tools to evaluate current models, reconcile them in a common formalism and understand how the spatial characteristics of center/surround modulations can result from the known properties of V1 ; What are the consequences of the dynamics of these effects on cortical responses and visual perception ? Our results suggest that V1 responses and the perception of visual objects should depend not only on the spatial context, but also on the temporal context in which these objects are embedded. We discuss the functional implications of this mechanism for the analysis of static and moving objects
Debanne, Dominique. "Plasticite fonctionnelle de l'organisation spatiale des champs recepteurs du cortex visuel primaire du chat : etude extra- et intracellulaire." Paris 6, 1992. http://www.theses.fr/1992PA066111.
Full textKlein, Isabelle. "Etude anatomo-fonctionnelle du cortex visuel primaire au cours de l'imagerie visuelle : approche par imagerie par résonance magnétique fonctionnelle." Paris 11, 2003. http://www.theses.fr/2003PA112291.
Full textVisual imagery is a brain state that gives rise to visual experience on the basis of stored information, not current input from the eyes. Convergent results from psychophysical, neuroimaging and studies of brain damaged patients have shown that mental imagery shares many of the functional properties and cortical structures used in visual perception. However a fundamental question that remains unresolved is whether visual imagery shares the "low-level" neural mechanisms required to perceive the external world. We used event-related functional magnetic resonance imaging to detect and characterize the activity in the primary visual cortex (or area V1) during visual imagery. In a first experiment, we tested two general hypotheses: The first was that V1 is activated only when images with many details are formed and used, and the second was that V1 is activated whenever images are formed, even if they are not necessarily used to perform a task. The results revealed reproducible transient activation in this area whenever subjects generated or evaluated a mental image. This transient activation was strongly enhanced when subjects evaluated characteristics of objects, whether or not details actually needed to be extracted from the image to perform the task. In a second experiment, we tested the hypothesis that the orientation of a visualized pattern is directly reflected by the orientation of activity in retinopically organized early visual cortices. The primary visual cortex of primates, including humans, is retinotopically organized; the spatial pattern of light striking the retinas is physically preserved (with some metric distortions) on the surface of cortex itself. We asked subjects to view or visualize a flashing bar either vertically or horizontally. The results show that for most subjects, the topography of the activation produced by imagined stimuli closely matched corresponding cortical representations of the visual field. Although understanding the precise nature of neural mechanisms that causally link activity in area V1 to visual imagery requires further investigation, the present results provides strong evidence that visual mental imagery recruits the earliest stages of the visual system
Book chapters on the topic "Cortex Visuel Primaire (CVP)"
Malmir, Mohsen, and Saeed Shiry. "Object Recognition with Statistically Independent Features: A Model Inspired by the Primate Visual Cortex." In RoboCup 2009: Robot Soccer World Cup XIII, 204–14. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-11876-0_18.
Full textConference papers on the topic "Cortex Visuel Primaire (CVP)"
Zhaoping Li. "Neural dynamics in a recurrent network model of primary visual cortex." In 9th International Conference on Artificial Neural Networks: ICANN '99. IEE, 1999. http://dx.doi.org/10.1049/cp:19991122.
Full textFarkas, I. "Modeling the self-organization of directional selectivity in the primary visual cortex." In 9th International Conference on Artificial Neural Networks: ICANN '99. IEE, 1999. http://dx.doi.org/10.1049/cp:19991117.
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