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Pathological synchronization in neuronal populations : a control theoretic perspective ; Vision Automatique de la synchronisation neuronale pathologique

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  • Additional Information
    • Contributors:
      Laboratoire des signaux et systèmes (L2S); Université Paris-Sud - Paris 11 (UP11)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS); Université Paris Sud - Paris XI; Françoise Lamnabhi-Lagarrigue
    • Publication Information:
      HAL CCSD
    • Publication Date:
      2012
    • Collection:
      Supélec (Ecole supérieure d'électricité): Publications scientifiques (HAL)
    • Abstract:
      In the first part of this thesis, motivated by the development of deep brain stimulation for Parkinson's disease, we consider the problem of reducing the synchrony of a neuronal population via a closed-loop electrical stimulation. This, under the constraints that only the mean membrane voltage of the ensemble is measured and that only one stimulation signal is available (mean-field feedback). The neuronal population is modeled as a network of interconnected Landau-Stuart oscillators controlled by a linear single-input single-output feedback device. Based on the associated phase dynamics, we analyze existence and robustness of phase-locked solutions, modeling the pathological state, and derive necessary conditions for an effective desynchronization via mean-field feedback. Sufficient conditions are then derived for two control objectives: neuronal inhibition and desynchronization. Our analysis suggests that, depending on the strength of feedback gain, a proportional mean-field feedback can either block the collective oscillation (neuronal inhibition) or desynchronize the ensemble.In the second part, we explore two possible ways to analyze related problems on more biologically sound models. In the first, the neuronal population is modeled as the interconnection of nonlinear input-output operators and neuronal synchronization is analyzed within a recently developed input-output approach. In the second, excitability and synchronizability properties of neurons are analyzed via the underlying bifurcations. Based on the theory of normal forms, a novel reduced model is derived to capture the behavior of a large class of neurons remaining unexplained in other existing reduced models. ; Dans la première partie de cette thèse, motivée par le développement de la stimulation cérébrale profonde comme traitement des symptômes moteurs de la maladie de Parkinson, nous considérons le problème de réduire la synchronie d'une population neuronale par l'intermédiaire d'une stimulation électrique en boucle fermée. Ceci, sous les ...
    • Relation:
      NNT: 2012PA112069
    • Online Access:
      https://theses.hal.science/tel-00695029
      https://theses.hal.science/tel-00695029/document
      https://theses.hal.science/tel-00695029/file/VD2_FRANCI_ALESSIO_06042012.pdf
    • Rights:
      info:eu-repo/semantics/OpenAccess
    • Accession Number:
      edsbas.FF0A111D