Literatura científica selecionada sobre o tema "Contrôle en neuroscience"
Crie uma referência precisa em APA, MLA, Chicago, Harvard, e outros estilos
Índice
Consulte a lista de atuais artigos, livros, teses, anais de congressos e outras fontes científicas relevantes para o tema "Contrôle en neuroscience".
Ao lado de cada fonte na lista de referências, há um botão "Adicionar à bibliografia". Clique e geraremos automaticamente a citação bibliográfica do trabalho escolhido no estilo de citação de que você precisa: APA, MLA, Harvard, Chicago, Vancouver, etc.
Você também pode baixar o texto completo da publicação científica em formato .pdf e ler o resumo do trabalho online se estiver presente nos metadados.
Artigos de revistas sobre o assunto "Contrôle en neuroscience"
Le Gall, Didier, Jérémy Besnard, Valérie Havet, Karine Pinon e Philippe Allain. "Contrôle exécutif, cognition sociale, émotions et métacognition". Revue de neuropsychologie Volume 1, n.º 1 (1 de março de 2009): 24–33. http://dx.doi.org/10.1684/nrp.2009.0004.
Texto completo da fonteProust, J. "La Métacognition comme contrôle de soi". PSN 6, n.º 1 (fevereiro de 2008): 31–37. http://dx.doi.org/10.1007/s11836-007-0043-x.
Texto completo da fonteNaccache, Lionel. "Contrôle exécutif et processus inconscients : une relation subtile". Revue de neuropsychologie Volume 1, n.º 1 (1 de março de 2009): 42–50. http://dx.doi.org/10.1684/nrp.2009.0006.
Texto completo da fonteTrang, Ha. "Les pathologies du contrôle respiratoire chez l’enfant". Médecine du Sommeil 2, n.º 6 (dezembro de 2005): 13–17. http://dx.doi.org/10.1016/s1769-4493(05)70125-4.
Texto completo da fonteClément, O., E. Sapin, P. Fort e P. H. Luppi. "Le sommeil paradoxal : son contrôle par l’hypothalamus". Médecine du Sommeil 10, n.º 4 (outubro de 2013): 146–54. http://dx.doi.org/10.1016/j.msom.2013.04.002.
Texto completo da fonteBesnard, Jérémy, Philippe Allain, François Osiurak, Ghislaine Aubin, Frédérique Etcharry-Bouyx e Didier Le Gall. "Contrôle exécutif et comportement d'utilisation d'objets : vers une dissociation". Revue de neuropsychologie Volume 1, n.º 2 (1 de junho de 2009): 120–32. http://dx.doi.org/10.1684/nrp.2009.0023.
Texto completo da fonteGharsalli, Houda, Ines Moussa, Samira Aouadi, Sabrine Majdoub, Salwa Jamelledine, Sonia Maalej e Leila Douik Elgharbi. "Syndrome d’apnées obstructives du sommeil et contrôle de l’asthme". Médecine du Sommeil 14, n.º 1 (março de 2017): 33. http://dx.doi.org/10.1016/j.msom.2017.01.046.
Texto completo da fonteGodefroy, Olivier. "Fonctions de contrôle frontales et syndromes dysexécutifs : quelles délimitations et quelles avancées ?" Revue de neuropsychologie Volume 1, n.º 1 (1 de março de 2009): 12–15. http://dx.doi.org/10.1684/nrp.2009.0002.
Texto completo da fonteChouchane, Asma, Maher Maoua, Wafa Benzarti, Lynda Mahjoub, Imen Kacem, Asma Aloui, Aicha Brahem, Olfa El Maalel, Souheil Chatti e Najib Mrizek. "Relation entre la qualité du sommeil et le contrôle de l’asthme professionnel". Médecine du Sommeil 19, n.º 1 (março de 2022): 23. http://dx.doi.org/10.1016/j.msom.2022.01.101.
Texto completo da fontePipard, Thomas, Lydie Merle, Mélanie Gouthier, Amélie Vuillemin, Karen Spruyt, Marc Nicolino e Karine Spiegel. "Chronotype et contrôle glycémique chez l’enfant et l’adolescent diabétique de type 1". Médecine du Sommeil 14, n.º 1 (março de 2017): 13–14. http://dx.doi.org/10.1016/j.msom.2017.01.139.
Texto completo da fonteTeses / dissertações sobre o assunto "Contrôle en neuroscience"
Mignardot, Jean-Baptiste. "Obésité et troubles du contrôle postural rôles de certaines contraintes morphologiques et sensori-motrices". Phd thesis, Université de Grenoble, 2011. http://tel.archives-ouvertes.fr/tel-00646963.
Texto completo da fonteCharron, Sylvain. "L'architecture fonctionnelle intégrant le contrôle cognitif et le contrôle motivationnel dans le cortex préfrontal humain". Phd thesis, Palaiseau, Ecole polytechnique, 2011. https://pastel.hal.science/docs/00/65/10/87/PDF/these_sylvain_charron.pdf.
Texto completo da fonteThe prefrontal cortex subserves executive function, the high-level cognitive ability that allows humans to generate behavior which does not depend only on external stimuli but also on internal goals. In this thesis we investigate the interaction between cognitive and motivational processes involved in executive function. We propose that the key concept to understand the functional architecture of lateral and medial prefrontal cortices is time-scale of information integration, which drives the fractionation of control processes along a caudo-rostral axis. Accordingly, posterior prefrontal regions drive immediate behavior adaptation on the basis of information conveyed by a stimulus and its context. Middle prefrontal regions are involved in maintaining over a series of trials a set of behavioural rules and processing their associated values. During a cognitive branching, the left and right medial prefrontal cortices can separately encode the values associated with delayed and ongoing task. The frontopolar region integrates these values and controls dual-task performance. Thus the functional properties of frontopolar and medial prefrontal cortices, despite being limited to the processing of two concurrent tasks, may play a critical role in the ability to generate complex behavior by coordinating ongoing task and future goals
Charron, Sylvain. "L'architecture fonctionnelle intégrant le contrôle cognitif et le contrôle motivationnel dans le cortex préfrontal humain". Phd thesis, Ecole Polytechnique X, 2011. http://pastel.archives-ouvertes.fr/pastel-00651087.
Texto completo da fonteLe, Thanh Thuan. "Rôle de la convergence oculomotrice dans le contrôle de la posture". Phd thesis, Université Pierre et Marie Curie - Paris VI, 2008. http://tel.archives-ouvertes.fr/tel-00812531.
Texto completo da fonteOrłowski, Jakub. "Adaptive control of time-delay systems to counteract pathological brain oscillations". Thesis, Université Paris-Saclay (ComUE), 2019. http://www.theses.fr/2019SACLS605.
Texto completo da fonteBeta oscillations (10-30 Hz) observed in the basal ganglia are a well-known biomarker of Parkinson's disease, correlated with increased symptoms of akinesia and bradykinesia. Deep brain stimulation (DBS) leads to a reduction of these oscillations, as well as improvement in the patients' quality of life. Clinically used DBS, however, is since its inception delivered in an open-loop fashion, where the parameters of the stimulation are constant regardless of the underlying brain activity and the state of the patient. This can lead to overstimulation, inducing side-effects and shortening battery life of the impulse generator, as well as understimulation when the symptoms of the disease worsen. Closed-loop DBS, exploiting measurements on the patient's brain activity to adapt the stimulation in real-time, is a promising way to overcome these limitations. In this thesis, we rely on an existing firing-rate model of the activity of the subthalamic nucleus (STN) - external globus pallidus (GPe) loop to propose an adaptive proportional DBS.We first analyze the model under proportional feedback and show that high-gain proportional stimulation makes the system globally exponentially stable (GES). To that aim, we propose a relaxed Lyapunov-Krasovskii condition for GES, valid for globally Lipschitz systems. We then extend the sigma modification approach, originally proposed by Ioannou and Kokotovic, to time-delay systems by providing explicit conditions under which this adaptive control stabilizes the system. We show that this controller then induces a practical stability property, in which the L_1 norm of the state over a sufficiently long time window converges to a neighborhood of the equilibrium up to a steady-state error that can be made arbitrarily small by tuning a control parameter. When applied to the STN-GPe firing-rate model, this leads to a proportional control law, whose gain is automatically adjusted based on the measured activity of the STN, to successfully disrupt pathological brain oscillations. In an attempt to assess the robustness of this adaptive control strategy to exogenous inputs or unmodeled dynamics, we also disprove an existing result on partial stability of nonlinear systems.Finally, we illustrate with numerical simulations on a spatiotemporal extension of this model that the proposed control law is capable of selectively quenching the pathological oscillations, based on their frequency band, regardles of whether the oscillations originate within the STN-GPe loop, or in the cortical neurons projecting to the STN
Boisgontier, Matthieu. "Effets de contraintes musculaire, cognitive et temporelle sur le contrôle proprioceptif des mouvements de la cheville chez les adules jeunes et âgés". Phd thesis, Université de Grenoble, 2012. http://tel.archives-ouvertes.fr/tel-00781726.
Texto completo da fonteBouchacourt, Flora. "Hebbian mechanisms and temporal contiguity for unsupervised task-set learning". Thesis, Paris 6, 2016. http://www.theses.fr/2016PA066379/document.
Texto completo da fonteDepending on environmental demands, humans performing in a given task are able to exploit multiple concurrent strategies, for which the mental representations are called task-sets. We examine a candidate model for a specific human experiment, where several stimulus-response mappings, or task-sets, need to be learned and monitored. The model is composed of two interacting networks of mixed-selective neural populations. The decision network learns stimulus-response associations, but cannot learn more than one task-set. Its activity drives synaptic plasticity in a second network that learns event statistics on a longer timescale. When patterns in stimulus-response associations are detected, an inference bias to the decision network guides successive behavior. We show that a simple unsupervised Hebbian mechanism in the second network is sufficient to learn an implementation of task-sets. Their retrieval in the decision network improves performance. The model predicts abrupt changes in behavior depending on the precise statistics of previous responses, corresponding to positive (task-set retrieval) or negative effects on performance. The predictions are borne out by the data, and enable to identify subjects who have learned the task structure. The inference signal correlates with BOLD activity in the fronto-parietal network. Within this network, dorsomedial and dorsolateral prefrontal nodes are preferentially recruited when task-sets are recurrent: activity in these regions may provide a bias to decision circuits when a task-set is retrieved. These results show that Hebbian mechanisms and temporal contiguity may parsimoniously explain the learning of rule-guided behavior
Collins, Anne. "Apprentissage et contrôle cognitif : une théorie computationnelle de la fonction exécutive préfontale humaine". Phd thesis, Université Pierre et Marie Curie - Paris VI, 2010. http://tel.archives-ouvertes.fr/tel-00814840.
Texto completo da fonteArduin, Pierre-Jean. "Conditionnement opérant de neurones du cortex moteur du rat pour un contrôle gradué de prothèse". Phd thesis, Ecole Normale Supérieure de Paris - ENS Paris, 2011. http://tel.archives-ouvertes.fr/tel-00669347.
Texto completo da fontePetit, Olivia. "Le plaisir et la santé dans la consommation alimentaire : activité cérébrale, motivation et simulation sensorielle". Thesis, Aix-Marseille, 2014. http://www.theses.fr/2014AIXM1036/document.
Texto completo da fonteSelf-regulation is an essential resource for not succumbing to (junk) food. It requires willpower and control of emotions and sensations. However, individuals operate in an environment enhancing food pleasure where health informations are few and poorly considered, causing difficulties in self-regulation. These difficulties are found especially in overweight people and/or dieter. We hypothesized that value the taste of healthy foods could help people to self-regulate and we conducted two experiments to test it. In the first study, messages highlighting the pleasure of eating fruits and vegetables are more persuasive to subjects taking risks to health. Similarly, in the second study in decision making, focusing on the tatste of these foods increases more healthy food choices for these subjects. By using neuroimaging, we have shown brain activity distinctions between these subjects when choosing healthy food in this condition. Choosing healthy food is more impulsive for the most sensitive to reward subjects, approaching the choice of junk foods. Instead, it appears more reflective for subjects with a high BMI and choosing more junk foods, facilitating self-regulation. At the theoretical level this research highlights the positive role of emotions and sensations related to pleasure in self-regulation. At the managerial level, it suggests the importance of adapting strategies to the target audience in order to efficiently healthy food consumption
Livros sobre o assunto "Contrôle en neuroscience"
Marin, Ludovic. Neurosciences: Contrôle et apprentissage moteur. Paris: Ellipses, 2005.
Encontre o texto completo da fonteHemmen, J. L. van 1947- e Sejnowski Terrence J, eds. 23 problems in systems neuroscience. New York: Oxford University Press, 2005.
Encontre o texto completo da fonteNeural control engineering: The emerging intersection between control theory and neuroscience. Cambridge, MA: MIT Press, 2012.
Encontre o texto completo da fonteB, Ivry Richard, e Mangun G. R. 1956-, eds. Cognitive neuroscience: The biology of the mind. 2a ed. New York: Norton, 2002.
Encontre o texto completo da fonteHunger, thirst, sex, and sleep: How the brain controls our passions. Lanham: Rowman & Littlefield Publishers, 2012.
Encontre o texto completo da fonteSensorimotor control and learning: An introduction to the behavioral neuroscience of action. Basingstoke, Hampshire: Palgrave Macmillan, 2012.
Encontre o texto completo da fonteEpilepsy: The intersection of neurosciences, biology, mathematics, engineering and physics. Boca Raton, FL: CRC Press, 2011.
Encontre o texto completo da fonteUlnicane, Inga. Chapter 11 Governance of Dual Use Research in the EU: The Case of Neuroscience. Abingdon: Taylor & Francis, 2020.
Encontre o texto completo da fonteHall, Peter A. Social neuroscience and public health: Foundations for the science of chronic disease prevention. New York: Springer, 2013.
Encontre o texto completo da fonteAdaptation in dynamical systems. Cambridge: Cambridge University Press, 2011.
Encontre o texto completo da fonteCapítulos de livros sobre o assunto "Contrôle en neuroscience"
Mishra, Ramesh Kumar. "Neuroscience of Bilingualism". In Bilingualism and Cognitive Control, 91–112. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-92513-4_5.
Texto completo da fonteFerrée, Thomas C., e Shawn R. Lockery. "Chemotaxis Control by Linear Recurrent Networks". In Computational Neuroscience, 373–77. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-4831-7_62.
Texto completo da fonteClaydon, Lisa. "Cognitive neuroscience, criminal justice and control". In The Routledge Handbook of Technology, Crime and Justice, 462–78. Abingdon, Oxon; New York, NY: Routledge, 2017. | Series:: Routledge, 2017. http://dx.doi.org/10.4324/9781315743981-28.
Texto completo da fonteLegerén Lago, Beatriz, e Verónica Crespo-Pereira. "Innovation, Transmedia and Neuroscience in Television". In Studies in Systems, Decision and Control, 103–12. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91860-0_7.
Texto completo da fonteCisek, Paul, Daniel Bullock e Stephen Grossberg. "Cortical Circuits for Control of Voluntary Arm Movements". In Computational Neuroscience, 287–92. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4757-9800-5_46.
Texto completo da fonteWadden, Tom, e Örjan Ekeberg. "Localized Neural Network Control of Spring Actuated Leg". In Computational Neuroscience, 543–46. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4757-9800-5_85.
Texto completo da fonteZanutto, B. Silvano, Enrique T. Segura, Bruno Cernuschi Frias e Alberto E. Dams. "The Ontogeny of the Nervous Control of Cardiovascular Circulation". In Computational Neuroscience, 567–73. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4757-9800-5_89.
Texto completo da fonteFeldman, Anatol G. "Running Away from KGB Informers to Neuroscience". In Referent control of action and perception, 1–11. New York, NY: Springer New York, 2015. http://dx.doi.org/10.1007/978-1-4939-2736-4_1.
Texto completo da fonteRastegar, Mojgan. "Epigenetic Control and Cerebellar Neurodevelopmental Disorders". In Contemporary Clinical Neuroscience, 273–95. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-23104-9_13.
Texto completo da fonteChing, ShiNung. "Control-Theoretic Approaches for Modeling, Analyzing, and Manipulating Neuronal (In)activity". In Dynamic Neuroscience, 219–38. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-71976-4_9.
Texto completo da fonteTrabalhos de conferências sobre o assunto "Contrôle en neuroscience"
Huang, J., A. Isidori, L. Marconi, M. Mischiati, E. Sontag e W. M. Wonham. "Internal Models in Control, Biology and Neuroscience". In 2018 IEEE Conference on Decision and Control (CDC). IEEE, 2018. http://dx.doi.org/10.1109/cdc.2018.8619624.
Texto completo da fonteCopelli, Mauro. "PHYSICS OF PSYCHOPHYSICS: CONTRIBUTIONS FROM STATISTICAL MECHANICS TO NEUROSCIENCE". In Conferência Brasileira de Dinâmica, Controle e Aplicações. SBMAC, 2011. http://dx.doi.org/10.5540/dincon.2011.001.1.0215.
Texto completo da fonteSantosa, Hendrik. "Optical Imaging Technique: A Powerful Tool for Neuroscience". In 2021 International Conference on Instrumentation, Control, and Automation (ICA). IEEE, 2021. http://dx.doi.org/10.1109/ica52848.2021.9625668.
Texto completo da fonteZheng, Rui, Xinkai Kuai, Guosheng Yang e Siyao Fu. "A tri-modal Schema for cognitive neuroscience research". In 2012 Third International Conference on Intelligent Control and Information Processing (ICICIP). IEEE, 2012. http://dx.doi.org/10.1109/icicip.2012.6391465.
Texto completo da fonteGarcia-Violini, Demian, Nicolas I. Bertone, Sebastian Martinez, Franco Chiesa-Docampo, Veronica De la Fuente, Mariano Belluscio, Joaquin Piriz e Ricardo S. Sanchez-Poria. "Closed-Loop in Neuroscience: Can a Brain be Controlled?" In 2018 Argentine Conference on Automatic Control (AADECA). IEEE, 2018. http://dx.doi.org/10.23919/aadeca.2018.8577350.
Texto completo da fonteSchiff, S. J. "Kalman meets neuron: The emerging intersection of control theory with neuroscience". In 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2009. http://dx.doi.org/10.1109/iembs.2009.5333752.
Texto completo da fonteCastiñeiras de Saa, Juan R., e Alfonso Renart. "Control Limited Perceptual Decision Making". In 2023 Conference on Cognitive Computational Neuroscience. Oxford, United Kingdom: Cognitive Computational Neuroscience, 2023. http://dx.doi.org/10.32470/ccn.2023.1725-0.
Texto completo da fonteBroucke, Mireille. "On the Use of Regulator Theory in Neuroscience with Implications for Robotics". In 18th International Conference on Informatics in Control, Automation and Robotics. SCITEPRESS - Science and Technology Publications, 2021. http://dx.doi.org/10.5220/0010639100110023.
Texto completo da fonteBroucke, Mireille. "On the Use of Regulator Theory in Neuroscience with Implications for Robotics". In 18th International Conference on Informatics in Control, Automation and Robotics. SCITEPRESS - Science and Technology Publications, 2021. http://dx.doi.org/10.5220/0010639100002994.
Texto completo da fonteBashivan, Pouya, Kohitij Kar e James DiCarlo. "Neural Population Control via Deep ANN Image Synthesis". In 2018 Conference on Cognitive Computational Neuroscience. Brentwood, Tennessee, USA: Cognitive Computational Neuroscience, 2018. http://dx.doi.org/10.32470/ccn.2018.1222-0.
Texto completo da fonteRelatórios de organizações sobre o assunto "Contrôle en neuroscience"
Singh, Anjali. What Is Optogenetics and How Does It Work? ConductScience, julho de 2022. http://dx.doi.org/10.55157/cs20220704.
Texto completo da fonte