Dissertations / Theses on the topic 'Cerebellum model'
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Gavigan, Thomas. "VOLUMETRIC GROWTH MODEL OF HUMAN MEDULLOBLASTOMA IN THE NUDE MOUSE CEREBELLUM." VCU Scholars Compass, 2010. http://scholarscompass.vcu.edu/etd/133.
Full textSenatore, Rosa. "The role of basal ganglia and cerebellum in motor learning. A computational model." Doctoral thesis, Universita degli studi di Salerno, 2012. http://hdl.handle.net/10556/373.
Full textOur research activity investigates the computational processes underlying the execution of complex sequences of movements and aims at understanding how different levels of the nervous system interact and contribute to the gradual improvement of motor performance during learning. Many research areas, from neuroscience to engineering, investigate, from different perspectives and for diverse purposes, the processes that allow humans to efficiently perform skilled movements. From a biological point of view, the execution of voluntary movements requires the interaction between nervous and musculoskeletal systems, involving several areas, from the higher cortical centers to motor circuits in the spinal cord. Understanding these interactions could provide important insights for many research fields, from machine learning to medicine, from the design of robotic limbs to the development of new treatments for movement disorders, such as Parkinson’s disease. This goal could be achieved by finding an answer to the following questions: · How does the central nervous system control and coordinate natural voluntary movements? · Which brain areas are involved in learning a new motor skill? What are the changes that happen in these neural structures? What are the aspects of the movement memorized? · Which is the process that allows people to perform a skilled task, such as playing an instrument, being apparently unaware of the movements they are performing? · What happen when a neurodegenerative disease affects the brain areas involved in executing movements? These questions have been addressed from different perspectives and levels of analysis, from the exploration of the anatomical structure of the neural systems thought to be involved in motor learning (such as the basal ganglia, cerebellum and hippocampus) to the investigation of their neural interaction; from the analysis of the activation of these systems in executing a motor task to the specific activation of a single or a small group of neurons within them. In seeking to understand all the breadth and facets of motor learning, many researchers have used different approaches and methods, such as genetic analysis, neuroimaging techniques (such as fMRI, PET and EEG), animal models and clinical treatments (e.g. drugs administration and brain stimulation). These studies have provided a large body of knowledge that has led to several theories related to the role of the central nervous system in controlling and learning simple and complex movements. These theories envisage the interaction among multiple brain regions, whose cooperation leads to the execution of skilled movements. How can we test these interactions for the purpose of evaluating a theory? Our answer to this question is investigating these interactions through computational models, which provide a valuable complement to the experimental brain research, especially in evaluating the interactions within and among multiple neural systems. Based on these concepts arises our research, which addresses the questions previously pointed out and aims at understanding the computational processes performed by two neural circuits, the Basal Ganglia and Cerebellum, in motor learning. We propose a new hypothesis about the neural processes occurring during acquisition and retention of novel motor skills. According to our hypothesis, a sequence of movements is stored in the nervous system in the form of a spatial sequence of points (composing the trajectory plan associated to the motor sequence) and a sequence of motor commands. We propose that learning novel motor skills requires two phases, in which two different processes take place. Early in learning, when movements are slower, less accurate, and attention demanding, the motor sequence is performed by converting the sequence of target points into the appropriate sequence of motor commands. During this phase, the trajectory plan is acquired and the movements rely on the information provided by the visuo-proprioceptive feedback, which allows to correct the sequence of movements so that the actual trajectory plan corresponds to the desired one and the lowest energy is spent by the muscular subsystem involved. During the late learning phase, when the sequence of movements is performed faster and automatically, with little or no cognitive resources needed to complete it, and is characterized by anticipatory movements, the sequence of motor commands is acquired and thus, the sequence of movements comes to be executed as a single behavior. We suggest that the Basal Ganglia and Cerebellum are involved in learning novel motor sequences, although their role is crucial in different stages of learning. Accordingly, we propose a neural scheme for procedural motor learning, comprising the basal ganglia, cerebellum and cortex, which envisages that the basal ganglia, interacting with the cortex, select the sequence of target points to reach (composing the trajectory plan), whereas the cerebellum, interacting with the cortex, is responsible for converting the trajectory plan into the appropriate sequence of motor commands. Consequently, we suggest that early in learning, task performance is more dependent on the procedural knowledge maintained by the cortex-basal ganglia system, while after a long-term practice, when the sequence of motor commands is acquired within the cerebellum, task performance is more dependent on the motor command sequence maintained by the cortexcerebellar system. We tested the neural scheme (and the hypothesis behind it) through a computational model that incorporates the key anatomical, physiological and biological features of these brain areas in an integrated functional network. Analyzing the behavior of the network in learning novel motor tasks and executing well-known motor tasks, both in terms of the neural activations and motor response provided, we found that the results obtained fit those reported by many neuroimaging and experimental studies presented in the literature. We also carried out further experiments, simulating neurodegenerative disorders (Parkinson's and Huntington disease, which affect the basal ganglia) and cerebellar damages. Results obtained by these experiments validates the proposed hypothesis, showing that the basal ganglia play a key role during the early stage of learning, whereas the cerebellum is crucial for motor skill retention. Our model provides some insights about the learning mechanisms occurring within the cerebellum and gains further understanding of the functional dynamics of information processing within the basal ganglia and cerebellum in normal as well as in diseased brains. Therefore the model provides novel predictions about the role of basal ganglia and cerebellum in motor learning, motivating further investigations of their interactions. [edited by author]
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Babenko, Olena Mykolayivna, and University of Lethbridge Faculty of Arts and Science. "The molecular mechanisms underlying epigenetics of the stress response in the cerebellum in a rat model." Thesis, Lethbridge, Alta. : University of Lethbridge, Dept. of Biological Sciences, c2010, 2010. http://hdl.handle.net/10133/2604.
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Chintawar, Satyan. "Neural precursor cells: interaction with blood-brain barrier and neuroprotective effect in an animal model of cerebellar degeneration." Doctoral thesis, Universite Libre de Bruxelles, 2009. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/210202.
Full textIn a brain stem cell niche, NSCs reside in a complex cellular and extracellular microenvironment comprising their own progeny, ependymal cells, numerous blood vessels and various extracellular matrix molecules. Recently, it was reported that blood vessel ECs-NSCs crosstalk plays an important role in tissue homeostasis. Bloodstream offers a natural delivery vehicle especially in case of diffuse neurodegenerative diseases which require widespread distribution of exogenous cells. As NSCs are confronted with blood-brain barrier endothelial cells (BBB-ECs) before they can enter into brain parenchyma, we investigated their interaction using primary cultures in an in vitro BBB model. We isolated human fetal neural precursor cells (hfNPCs) from aborted fetal brain tissues and expanded in vitro. We showed that in an in vitro model, human BBB endothelium induces the rapid differentiation of hfNPCs and allows them to cross the endothelial monolayer, with the differentiated progeny remaining in close contact with endothelial cells. These results are not reproduced when using a non-BBB endothelium and are partly dependent on the cytokine MCP1. Our data suggest that, in the presence of attractive signals released by a damaged brain, intravascularly administered NPCs can move across an intact BBB endothelium and differentiate in its vicinity. Overall, our findings have implications for the development of cellular therapies for cerebellar degenerative diseases and understanding of the brain stem cell niche.
Doctorat en Sciences biomédicales et pharmaceutiques
info:eu-repo/semantics/nonPublished
Takagishi, Yoshiko, 芳子 高岸, and Yoshiharu Murata. "Myosin Va mutation in rats is an animal model for the human hereditary neurological disease, Griscelli syndrome type 1." New York Academy of Sciences, 2006. http://hdl.handle.net/2237/10947.
Full textHecker, David [Verfasser]. "Migration of interneuronal precursor cells in the developing cerebellum of mice : model-based cell tracking and simulation / David Hecker." Bonn : Universitäts- und Landesbibliothek Bonn, 2010. http://d-nb.info/1016155654/34.
Full textKlein, de Licona Hannah Washington. "Congenital LCMV virus: mechanism of brain disease in a rat model of congenital viral infection." Diss., University of Iowa, 2010. https://ir.uiowa.edu/etd/531.
Full textBalastik, Martin. "Trim2 mutant mice as a model for cerebellar ataxia." Doctoral thesis, [S.l.] : [s.n.], 2003. http://deposit.ddb.de/cgi-bin/dokserv?idn=975117025.
Full textMARSHALL, CRAIG ANTHONY. "QUANTITATIVE MEASUREMENT OF THE EXPRESSION OF TWO GENES IN THE CORETX AND CEREBELLUM OF A MOUSE MODEL OF JUVENILE ALZHEIMER’S." Thesis, The University of Arizona, 2016. http://hdl.handle.net/10150/613283.
Full textParnell, Scott E., Jayanth Ramadoss, Michael D. Delp, Michael W. Ramsey, Wei-Jung A. Chen, James R. West, and Timothy A. Cudd. "Chronic Ethanol Increases Fetal Cerebral Blood Flow Specific to the Ethanol-Sensitive Cerebellum Under Normoxaemic, Hypercapnic and Acidaemic Conditions: Ovine Model." Digital Commons @ East Tennessee State University, 2007. https://dc.etsu.edu/etsu-works/4134.
Full textJaeg, Tiphaine. "Exploring the mitochondrial function in muscle and molecular dysregulation in cerebellum in a mouse model for ARCA2, a recessive ataxia with coenzyme Q10 deficiency." Thesis, Strasbourg, 2017. http://www.theses.fr/2017STRAJ082/document.
Full textARCA2, a rare form of recessive ataxia, is characterized by early onset progressive ataxia, cerebellar atrophy and a mild Coenzyme Q10 deficiency. Most of the patients show additional neurological signs such as epilepsy and exercise intolerance. Mutations in the COQ8A gene lead to ARCA2. COQ8A is suggested as being an unorthodox protein kinase like, with a regulatory role in CoQ biosynthesis, in mammals. To better understand ARCA2, a constitutive Coq8a knock-out (KO) mouse model was generated, which recapitulates most of the patient’s symptoms. Here we report the use of cellular models and the affected tissues to uncover the molecular signature of COQ8A loss and CoQ deficit. Despite CoQ deficit in the muscle, no mitochondrial bioenergetics defect was uncovered. In parallel, we have identified, by RT-qPCR, a key set of genes that are dysregulated in cerebellum, very early on in the pathology. We are currently investigating these pathways to uncover the link with COQ8A function. Altogether, our experiments will shed light on the early molecular events that lead to ARCA2 and may help draw a link between COQ8A function, CoQ pools and the symptoms observed in patients
Maffei, Giovanni. "Automatic and deliberate control of action: an embodied perspective of artificial and biological brains." Doctoral thesis, Universitat Pompeu Fabra, 2018. http://hdl.handle.net/10803/666954.
Full textEls animals van evolucionar per sobreviure en entorns dinàmics desenvolupant múltiples estratègies de comportament per adaptar-se i aprendre de la seva interacció amb el món. Els mecanismes associatius i les representacions internes estan en el nucli del càlcul del cervell, però, per adquirir un coneixement complet de la seva rellevància per a la conducta, cal tenir en compte la seva naturalesa incorporada. En un esforç interdisciplinari que integra mètodes de modelització computacional, robòtica i electrofisiologia, aquesta tesi presenta una sèrie d’estudis que pretenen avançar en la comprensió dels processos automàtics i deliberats que regulen el control de l’acció incorporat al cervell. Mitjançant la formulació d’una arquitectura de control biològicament restringida dedicada a una tasca de forjat en el món real, posem el terreny per modelar i analitzar una conducta orientada a objectius complexos que sorgeix de la interacció entre el sistema cerebrovascular cerebral automàtic que adquireix associacions sensorials motores i deliberat sistema fronto-hipocamp que proporciona una navegació i una planificació orientades a objectius. Després de l’anàlisi conductual del model d’estímul-resposta de l’aprenentatge cerebel.lari, ens preguntem més endavant com es pot aplicar el cerebel a un control anticipat que e ́s a la vegada adaptatiu i resistent a la incertesa. Per respondre a aquesta pregunta, explorem les propietats del sistema de control automàtic i avancem una nova hipòtesi sobre el paper del cerebel, tot reformant la seva computacio ́ en el domini perceptiu. Finalment, preguntem com interactuen els sistemes automa`tic i deliberat durant situacions inesperades que requereixen un canvi sobtat de plans. Analitzant la dina`mica neural de l’escorça frontal humana en el control del canvi d’acció deliberada, recolzem l’aportació de dinàmiques oscil.ladores de baixa freqüència en aquesta àrea per orquestrar el comportament, basant-se en representacions internes d’objectius i regles. Tot plegat, aquests resultats contribueixen a la nostra comprensió de com processos automàtics i deliberats controlen l’acció en el cervell i avancen noves idees que desafien o allarguen les teories actuals. Malgrat l’objectiu principal d’entendre el cervell, aquestes idees també es podrien aplicar al desenvolupament de nous sistemes de control per a una nova generació de robots.
Šuminaite, Daumante. "Elucidating the reversibility of ataxia." Thesis, University of Edinburgh, 2017. http://hdl.handle.net/1842/28911.
Full textEl, Nagar Salsabiel. "Rôle du facteur de transcription Otx2 dans le développement normal et tumoral du cervelet." Thesis, Université Côte d'Azur (ComUE), 2017. http://www.theses.fr/2017AZUR4138.
Full textMedulloblastomas (MB) are the most common brain tumors in paediatrics. They appear during development in the posterior part of the brain, mainly in cerebellum. MB can be stratified in four groups: the WNT and SHH groups, where these signalling pathways are aberrantly activated, and the groups 3 and 4, which display chromosomal abnormalities and multiple amplifications, including c-Myc (group 3) and N-Myc (group 4). One of the most frequent genetic alterations in MB is the overexpression of the Otx2 transcription factor (in 75% of cases). This factor, which is essential for central nervous system development, is expressed in granule cell precursors (GCP) of the cerebellum, which represent the cell of origin of the majority of MB. During the perinatal period, GCPs undergo intense proliferation in response to Sonic Hedgegog (SHH), making them particularly susceptible to tumorigenesis. During this thesis, we were interested in examining the function of Otx2 in GCPs. We have shown that conditional ablation of Otx2 leads to a GCP proliferation defect and that Otx2 stimulates the proliferation of these cells independently of the Shh signaling pathway. Moreover, ablation of Otx2 in a mice model of Shh-dependent medulloblastomas yielded very interesting results: while Otx2 does not seem to be required for the initiation of these tumors, it is essential for their long-term maintenance. In parallel, we tried to create a new murine model for the MB group 3 by inducing the expression, during the postnatal period, of an active dominant of c-Myc in cells expressing Otx2. This approach yielded unexpected results: choroid plexus carcinomas, instead of MB, were obtained
RIZZA, MARTINA FRANCESCA. "Parameter estimation of cerebellar stellate neuron model." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2017. http://hdl.handle.net/10281/180709.
Full textThe focus of my research is the modeling of biophysical properties of the cerebellar neurons. Computational models of neurons are mathematical descriptions used to describe and simulate biological processes of these cells and are a valuable means for the neuronal investigation. I will describe the conductance-based models, based on Hodgkin and Huxley (HH) mathematical description and spiking neuron models, based on integrate and fire (IF) theory. Then, I will focus on the models of the cerebellar neurons, being the area of interest of my research. The first part of the thesis examines the reconstruction of the multi-compartmental model of the cerebellar stellate cell (SC), modelled with the HH notation. The model reproduced the main electrophysiological properties of the SC, the gap junctions functioning and the synaptic activity, achieving satisfying results. However, the most advanced models, based on the HH theory, in order to reproduce the correct neuronal dynamics, require the fine-tuning of a large number of parameters, which are the maximum ionic conductance (Gi-max). The definition of appropriate Gi-max values, for each section of the morphology, is a complex task: they cannot be experimentally determined, so they must be assigned during the modeling phase and accurately validated. The manual calibration of Gi-max parameters for each channel is also a time-consuming and error-prone task. In order to explore the quite extensive parameter space of single-neuron models, it is possible to exploit numerical optimization techniques, able to, automatically, estimate the most fitting Gi-max values, obtaining neuron models that can reproduce the expected electro-physiological behavior, compared with the experimental results. Therefore, the second part of the thesis investigates an approach based on an automatic parameter estimation (PE) method that exploits the swarm intelligence (SI) technique known as particle swarm optimization (PSO). The investigation of this complex problem is made possible by the increase of the computational power and the high performing computing (HPC) techniques that allows scientist to develop specific procedures to calibrate automatically the parameter tuning. PSO was applied to the cerebellar SC neuron model for the first time and choosing the correct fitness functions, to quantify how well the optimization solutions compare with the target traces. The methodology proposed relies on the execution of a massive number of simulations, whose computational costs are relevant. To reduce the overall running time, the methodology was implemented on a parallel architecture. In this way, the fitness evaluations were accelerated with a computer cluster. The third part of the thesis reviews a challenging area of neuronal development, focusing on the cerebellar neuronal development. The cerebellar development is a complex biological process that requires a huge interaction between biochemical and biophysical mechanisms. Many aspects of development, such as neurons differentiation, proliferation and migration, axon and dendritic growth, synapses formation and stabilization, were extensively described with experiments in both the brain and the cerebellum, but only some of these aspects were described with computational models. Many models describe specific neurogenesis and axonal connectivity in the cerebral cortex, hippocampus, olfactory bulb and spinal cord. The frameworks, used to build these models, describe specifically several characteristics that could be applied to the cerebellum. I will review the available models and the latest tools to model the development of the cerebellar network, creating a new framework, which will explain all the specific properties of the cerebellum.
Lu, Song, and 鲁嵩. "Phenotype analysis of Pdss2 conditional knockout mouse." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2010. http://hub.hku.hk/bib/B45552381.
Full textKoontz, Thadeus B. "MCMV induced cerebellar maldevelopment." Thesis, Birmingham, Ala. : University of Alabama at Birmingham, 2007. https://www.mhsl.uab.edu/dt/2007p/koontz.pdf.
Full textAnderson, Jennifer Louise Medical Sciences Faculty of Medicine UNSW. "Cerebellar synaptic plasticity in two animal models of muscular dystrophy." Publisher:University of New South Wales. Medical Sciences, 2008. http://handle.unsw.edu.au/1959.4/43524.
Full textMatos, Pinto Thiago. "Computational models of intracellular signalling and synaptic plasticity induction in the cerebellum." Thesis, University of Hertfordshire, 2013. http://hdl.handle.net/2299/11560.
Full textOrtiz, Abalia Jon. "Estudio de los efectos de la reducción de la expresión de Dyrk1A, mediante interferencia de RNA, sobre el fenotipo motor del model transgénico TgDyrk1A. Implantación de kis receptores glutamatérgicos de tipo NMDA." Doctoral thesis, Universitat Pompeu Fabra, 2008. http://hdl.handle.net/10803/7188.
Full textThe are growing evidences to consider DYRK1A as a candidate gene for some of the neurological alterations present in DS phenotype such as mental retardation which is a common feature in the syndrome, or motor deficits which show a high prevalence among DS individuals. With the aim to validate the contribution of Dyrk1A to DS phenothype, we have developped a gene therapy strategy based on RNA interference to reduce gene expression in the transgenic model TgDyrk1A, and we have evaluated the effects in the motor phenotype of these animals. Moreover, we have studied the implication of the NMDA glutamate receptor in the motor alterations present in the model. The results obtained validate the strategy developped and suggest the deregulation of the NMDA receptor as one of the main causes underlying motor dysfunction in TgDyrk1A mice.
Darka, Murat Özdemir Serhan. "The control of a manipulator using cerebellar model articulation controllers/." [s.l.]: [s.n.], 2003. http://library.iyte.edu.tr/tezler/master/makinamuh/T000251.pdf.
Full textScarfe, Peter Craig. "Error minimising gradients for improving cerebellar model articulation controller performance." Thesis, Curtin University, 2009. http://hdl.handle.net/20.500.11937/1241.
Full textLeroux, Sarah. "Etude des hypoxies périnatales : conception d'outils et effets sur le développement du cervelet chez la souris. Hypoxia is associated with a retardation of cerebellar development and long-term functional deficits in a mouse model of apnea of prematurity." Thesis, Normandie, 2019. http://www.theses.fr/2019NORMR100.
Full textThe cerebellum is involved in major motor functions such as coordination and equilibrium. Recently, it has also been shown to play a role in cognitive abilities like language, attention or learning. At birth, the development of the cerebellar cortex in human is not completed and continues until the first postnatal months. Thereby, this structure appears to be particularly vulnerable to various perinatal injuries, such as hypoxic incidents. Perinatal hypoxia (HP) represents a common pathology responsible for neurodevelopmental disorders and is involved in 1/3 of neonatal deaths. It could be induced by different events such as looping of umbilical cord (continuous hypoxia) or apnea of prematurity (intermittent hypoxia) and affects many cerebral regions. However, its impact on the cerebellum has not been investigated in detail. Yet, a correlation between the functions controlled by the cerebellum and the deficits observed in children affected by an oxygen (O2) deficiency at birth has been demonstrated. Taken together, these data suggest that perinatal hypoxia may lead to modifications in the cerebellar circuit organization and induce functional alterations. Thus, this study aims to identify the effects of two types of HP on the cerebellar development; (i) an intermittent hypoxia (HI) consisting of 2-minute cycles of hypoxia and reoxygenation repeated over 6 hours on mice during 10 days from postnatal day 2 (P2), referring to apnea of prematurity, and (ii) a continuous hypoxia (HC) of 5% of O2 during 40 minutes on P6, P12 and P21 mice, mimicking a perinatal respiratory delay. Firstly, we studied the oxidative stress and showed that ROS production increases in P12 mice after both protocols, indicating that hypoxia affects the cerebellum. In HC, this oxidative stress is associated with a moderate increase in apoptosis without histological and behavioral consequences in the short or long term. However, IH induces a significant delay in histogenesis, leading to a decrease in the thickness of the cerebellar cortex layers. This disorganization of the cerebellum is accompanied by deficits in reflex acquisition. Our results suggest that IH may induce a long-term protective mechanism via, at least, an anti-apoptotic effect which compensates histological alterations from P21. However, this compensatory process is insufficient and defaults in motor coordination and cognition persist in adult mice. In order to study more precisely hypoxia and report its effects in vivo in real time, we also characterized 7 probes derived from sulforhodamine-101 and sensitive to a lack of oxygen. The emission and excitation spectra obtained demonstrate that 5 of these molecules are excitable in the infrared, and can thus be detectable by two-photon microscopy. In addition, we demonstrated that they are not degraded, confirming that they are usable for in vivo imaging. Thus, this work validates our two hypoxia models but shows that each type of hypoxia has specific effects on the developing cerebellum: continuous hypoxia acts in the short-term while intermittent hypoxia leads to profound structural and functional impacts. In the long term, our data aim to determine the precise mechanisms underlying the deleterious effects of HP with fluorescent dies sensitive to hypoxia, and to correlate the functional deficits observed in children who have suffered from perinatal hypoxia with cerebellum alterations to improve their health care
ROMANO, FAUSTO. "Evaluation of acute alcohol intoxication as a model of cerebellar disease." Doctoral thesis, Università degli studi di Pavia, 2017. http://hdl.handle.net/11571/1203377.
Full textSteuber, Volker. "Computational models of intracellular signalling in cerebellar Purkinje cells." Thesis, University of Edinburgh, 1999. http://hdl.handle.net/1842/21550.
Full textAl-Gonaiah, Majed A. "Investigating xanthine oxidase toxicity models in cultured cerebellar granule neurons." Thesis, University of Glasgow, 2009. http://theses.gla.ac.uk/1057/.
Full textAnderle, Marica. "Human cerebellar organoids as an in vitro 3D model of Group 3 Medulloblastoma." Doctoral thesis, Università degli studi di Trento, 2020. http://hdl.handle.net/11572/262782.
Full textJo, Sungho 1974. "Application of a model of cerebellar function to the maintenance of human upright posture." Thesis, Massachusetts Institute of Technology, 2001. http://hdl.handle.net/1721.1/34345.
Full textIncludes bibliographical references (leaves 82-87).
In this thesis a simple human postural control model is suggested and analyzed based on hypothesized neurophysiology of the cerebellar function and the musculoskeletal system. The cerebellum model is made up of simple linear filters such as differentiator and integrator. The simple linear filters implement a linear feedback control scheme including a phase lead compensator. The neural feedback signal represents the action of the cerebellum in the processing of angular position and angular velocity error signals. The goal of the investigation is to indicate whether the simple linear filters can describe neurophysiological functions of the cerebellum to compensate for the neural delays and coordinate the postural strategies that make possible human upright posture in gravity. Performance of the model is investigated with regard to disturbance rejection after adjustment of the parameters representing the cerebellum and the muscle. Whether the combination of the cerebellar and musculoskeletal control systems can realistically model human posture balance recovery is evaluated by simulating human postural maintenance during backward translation of a support surface. The simulation is compared with actual human postures and movements. The simulation realizes the ankle and hip strategy that prevails in human posture, and suggests the functions of the cerebellum.
by Sungho Jo.
S.M.
Kalia, Lokeshvar Nath. "An investigation of the behaviour of the granular layer of the cerebellum using neuronal and network models." Thesis, Imperial College London, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.312830.
Full textKaslin, Jan, and Michael Brand. "Cerebellar Development and Neurogenesis in Zebrafish." Springer, 2013. https://tud.qucosa.de/id/qucosa%3A33555.
Full textRamadoss, Jayanth. "Mechanisms underlying fetal alcohol spectrum disorders: ovine model." 2008. http://hdl.handle.net/1969.1/ETD-TAMU-2660.
Full text(8755629), Laura E. Hawley. "Quantifying DYRK1A during perinatal development in the hippocampus, cerebral cortex, and cerebellum of the Ts65Dn mouse model." Thesis, 2020.
Find full textThe relationship between gene copy number and protein expression levels has not thoroughly been examined in humans or mouse models of Down syndrome (DS) in relationship to developmental changes in the trisomic brain. Found on human chromosome 21 (Hsa21) and triplicated in DS, Dual-specificity tyrosine-phosphorylated regulated kinase 1A (DYRK1A) has been linked in DS to neurological deficits by restricting cell growth and proliferation. Little information exists regarding DYRK1A during perinatal development and how its expression may lead to cognitive deficits, and none exists that explores the gene-to-protein relationship during these critical time periods. This study aims to 1) Quantify variable DYRK1A expression across development as a function of age, sex, and brain region in trisomic Ts65Dn mice compared to euploid counterparts and 2) establish that the spatiotemporal pattern of developmental DYRK1A in the brain is not influenced solely by gene copy number, and that reduction of Dyrk1a in euploid and trisomic mice does not result in a corresponding global reduction of DYRK1A expression. DYRK1A was quantified in three areas of the postnatal brain at seven ages using the Ts65Dn mouse, the most studied model of DS, and found that trisomic expression is significantly increased on postnatal day ([P]6), declining by the third week to near euploid levels. We also uncovered a sexual dimorphic expression of DYRK1A when comparing animals of different sexes within the same genotype. Data from Dyrk1a knockdown mice indicated that reducing only Dyrk1a in euploid and in otherwise trisomic animals yields highly variable levels of DYRK1A, dependent on sex and tissue type, supporting the non-intuitive relationship between gene dosage and protein expression. These data emphasize the need to understand the age-dependent regulation of antecedent conditions that are causing changes in Dyrk1a expression in the brain.
BRUNO, FRANCESCO. "Morphofunctional impairment of neuronal and glial cells in the developing cerebellum of a mouse model of Niemann-Pick type C1 disease." Doctoral thesis, 2017. http://hdl.handle.net/11573/986527.
Full textIzzo, Mariapaola. "The KCASH2KO mice: a new mouse model with mild cerebellar Hedgehog-dependent phenotype and spermatozoa abnormalities." Doctoral thesis, 2019. http://hdl.handle.net/11573/1269209.
Full textTeles, Magda. "Adult neurogenesis in a new model specie, the cichlid fish Oreochromis mossambicus." Master's thesis, 2010. http://hdl.handle.net/10400.12/4045.
Full textEm comparação com outros vertebrados, os peixes teleósteos têm um enorme potencial para produzir células novas no cérebro de animais adultos. Em contraste com os mamíferos, onde o processo de neurogénese adulta encontra-se restrito a duas áreas cerebrais, a zona subventricular (SVZ) e a zona subgranular parte do giro dentado do hipocampo, em peixes teleósteos foram descritas mais de 10 regiões neurogénicas. Através da marcação de células mitóticas com 5-bromo-2’-deoxiuridina (BrdU), foram caracterizadas as zonas proliferativas da Tilapia de Moçambique (Oreochromis mossanbicus). Nesta espécies, foram encontradas zonas proliferativas em regiões específicas do bolbos olfactivo, telecéfalo, região pré-optica, hipotálamo, tálamo, tecto óptico, torus longitudinalis, nas três divisões do cerebelo, valvula cerebelli, corpus cerebelli, e lobus caudalis e na região da medula, abrangendo assim toda a extensão cerebral. A localização destas zonas proliferativas parece ser extremamente conservada ao longo da taxonomia e até o número total de células produzidas parece ser mantido com pouca variação. Com um tempo de sobrevivência de 2 horas, foram encontrados na tilapia um total de 80.000 células novas em comparação com as 100.000 descritas para o peixe eléctrico Apteronotus leptorhynchus. Os nossos resultados sugerem que a actividade mitótica em regiões discretas do cérebro adulto são uma característica primitiva que tem sido conservada ao longo da evolução.
ABSTRACT: Compared to other vertebrate species, fish exhibit an enormous potential to produce new cells in the adult brain. In contrast to mammals, where proliferation zones are restricted to two brain areas, the sub ventricular zone (SVZ), and the subgranular zone (SGZ), part of the dentate gyrus of hippocampus, in teleost species more than 10 neurogenic regions have been described. By labeling mitotically dividing cells with 5-bromo-2'-deoxyuridine (BrdU), we have characterized the proliferation zones in the Mozambique tilapia (Oreochromis mossambicus). Proliferation zones were located in specific brain regions of the olfactory bulb, telencephalon, preoptic area, hypothalamus, thalamus, optic tectum, torus longitudinalis, in all three subdivisions of the cerebellum, the valvula cerebelli, the corpus cerebelli, and the lobus caudalis cerebelli and in the region of the medulla oblongata. These proliferation zones appeared to be extremely conserved across taxonomy and even the total number of new generated cells seems to be preserved. After 2 hours survival time we found a total of approximately 80.000 new cells for tilapia compared to 100.000 new cells described for Apteronotus leptorhynchus. Our results suggest that the presence of mitotic activity in specific brain regions is a primitive feature that has been conserved through evolution.
Yu-Ju, Liu. "Fault Accommodation Using Cerebellar-Model Articulation Controller." 2004. http://www.cetd.com.tw/ec/thesisdetail.aspx?etdun=U0009-0112200611330190.
Full textLiu, Yu-Ju, and 劉郁汝. "Fault Accommodation Using Cerebellar-Model Articulation Controller." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/05841755424482700783.
Full text元智大學
電機工程學系
92
This thesis presents the fault accommodation using Cerebellar-Model Articulation Controller and recurrent Cerebellar-Model Articulation Controller. These controllers are applied to a three-tank system and two engine systems to illustrate their effectiveness. First, a learning architecture, with CMAC network as on-line approximator of the off-nominal system behavior, is used for the accommodation control of two engine systems and a three-tank system. Simulation results show that this method can effectively achieve the fault accommodation. Furthermore, a robust fault accommodation scheme used recurrent Cerebellar-Model Articulation Controller approach, is used for two engine system faults. Simulation results show that the fault accommodation performance can be further improved.
Chuang, Chih-Ying, and 莊智穎. "STUDY OF PARAMETRIC CEREBELLAR MODEL ARTICULATION CONTROLLER." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/99899097621827012510.
Full textLin, Tzu-Hua, and 林子華. "A Study on Cerebellar Model Articulation Controller." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/2m53up.
Full text國立臺北科技大學
電機工程系研究所
95
The PID controller is the longest standing and the most popular controller that has ever been used in the industry because it is convenient and has a simple structure. However, the PID controller can not be used for every system. If the PID controller is used in a more complicated system or in a system where it is not possible to estimate the mathematical model of the plant, then the control performance could be very poor and the plant may not be able to be controlled. In addition, if the parameters of the plant are changed due to external factors, the parameters for the PID controller cannot be immediately modified online, thus the robustness of the PID controller may be deteriorated. In recent years, the development of control theories shows a trend towards intelligent controllers. Among them, artificial neural network (NN), fuzzy controls, and cerebellar model articulation controllers (CMAC), etc., are the most popular. CMAC is a branch of traditional artificial neural networks, and has advantages over traditional artificial neural networks, with less computation required, high computation speed, intelligent learning capability, simple structure, and the ability to adjust the parameters on-line. In view of the disadvantages of PID controllers, the CMAC PID controller, which allows real-time parameter adjustment, is studied specifically and implemented in this thesis. In this study, the C++ programming language is used for the implementation of the CMAC algorithm. Meanwhile, Matlab/Simulink is used as well to simulate the following systems: the second-order systems with steady-state errors and with/without delay, and the second-order unstable systems with/without delay. As the simulation result shows, the CMAC PID controller can effectively control the above systems and the performance is improved significantly.
Hsu, Julie Yong. "The relationship between posterior cerebellum volume and cross-modal divided attention in Autism Spectrum Disorders." Thesis, 2011. http://hdl.handle.net/2152/ETD-UT-2011-12-4431.
Full texttext
Šalomová, Martina. "Změny motorických funkcí u myšího modelu cerebelární degenerace v průběhu ontogeneze." Master's thesis, 2017. http://www.nusl.cz/ntk/nusl-367899.
Full textLu, Wei-Ting, and 呂韋廷. "Deadzone compensation based on Cerebellar Model Articulation Controller." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/82472173577771948228.
Full text龍華科技大學
工程技術研究所
100
In this paper, the utilization of adaptive control and Cerebellar Model Articulation Controller is the compensation of the phenomenon of Non-Linear Deadzone which is in Servo-Hydraulic System. In addition, the controlled-dynamical model is separated into Non-Linear Deadzone System and Linear Time-Invariant System. In the systems, there are two Cerebellar Model Articulation Controller; One is for identifying the parameters of Deadzone, then the result is used to train the other one which is used for the inverse compensation of Deadzone that is employed to eliminate the phenomenon of Non-Linear Deadzone. The parameters of Liner System in the theory of Recursive identification are utilized to identify the systems, and the parameters from the end of the testament are used model reference adaptive pole placement to design the controller. According to these simulations, it can be obtained good results.
Chi-Jui, Kao. "Intelligent Car-Following Control Using Cerebellar Model Articulation Controller." 2004. http://www.cetd.com.tw/ec/thesisdetail.aspx?etdun=U0009-0112200611330076.
Full textLin, Ming-Hung, and 林明宏. "Design and Applications of Robust Cerebellar Model Articulation Controller." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/57069450746764653910.
Full text清雲科技大學
電機工程研究所
94
In this thesis the cerebellar model articulation controller (CMAC) is the main controller. First , since the dynamic characteristics of the linear piezoelectric ceramic motor (LPCM) are highly nonlinear and time varying, it is difficult to design a suitable motor position controller to achieve high-precision position control at all time. An robust cerebellar model articulation controller (CMAC) via the backstepping control technique is proposed. In the robust CMAC backstepping control system, an adaptive CMAC is used to mimic an ideal backstepping control law and a robust controller is designed to compensate for the difference between the ideal backstepping control law and the adaptive CMAC. The adaptation laws of the control system are derived in the sense of Lyapunov stability analysis, so that the stability of the system can be guaranteed. the controlled LPCM possesses the advantages of good tracking control performance and robustness to uncertainties under wide operating ranges. The effectiveness of the proposed control system is verified with hardware experiments under the occurrence of uncertainties. Then, an adaptive recurrent cerebellar model articulation controller (RCMAC) with a guaranteed performance is proposed for the car-following collision prevention systems to track periodic reference trajectories. In this control scheme, the proposed dynamic structure of RCMAC has superior capability to the conventional static cerebellar model articulation controller (CMAC) in efficient learning mechanism and dynamic response. The control laws for the robust RCMAC control system are derived based on the control technique and the Lyapunov stability analysis, so that system-tracking stability can be guaranteed in the closed-loop system. Finally, the proposed robust RCMAC control system is applied for the car-following collision prevention control. Simulation results show that this method can achieve favorable tracking performance for a safe car-following control.
Kao, Chi-Jui, and 高啟瑞. "Intelligent Car-Following Control Using Cerebellar Model Articulation Controller." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/41258903770963265558.
Full text元智大學
電機工程學系
92
The application of new technologies of computer and communications on the transportation vehicle can improve the vehicle safety and accelerate the vehicle performance dramatically. Also, the vehicle can communicate with all other information suppliers at any time. This is called the Intelligent Vehicle (IV). This thesis focuses on the design of the cerebellar model articulation controller (CMAC) based on adaptive control, supervisory control and recursive control, which attempt to provide a comprehensive treatment of CMACs in closed-loop control applications. For supervisory recurrent cerebellar-model articulation controller (SRCMAC), the car-following control system is formulated as a tracking problem. The SRCMAC is designed to achieve satisfactory tracking performance for car-following control system. Finally, a design method of recurrent CMAC for multi-input multi-output nonlinear systems is developed and is applied to lane-change control system. From the simulation results, the proposed intelligent control techniques have been shown to achieve satisfactory control performance for the considered nonlinear systems. In addition to use matlab’s simulations, the virtual reality (VR) simulations are also carried out. In the VR system, we use 3D Studio MAX to construct the scenes, and use the 3D animation development tool MATFOR VR to program the entire playing process. Moreover, we add dynamic motion equation and control method into the scenes, and use virtual reality technique to show the motion of translation and rotation of vehicles.
Lan, Shih-Wei, and 藍世緯. "Adaptive Echo Cancellation Using Deep Cerebellar Model Articulation Controller." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/80404587248894079955.
Full text元智大學
電機工程學系
105
ABSTRACT It had the very big breakthrough in the machine learning development in recent years. No matter the Watson which developed by IBM or Google’s AlphaGo, they both are based on depth of neural networks. And the cerebellar model articulation controller (CMAC) has been widely used in various applications of neural networks, such as: inverted pendulum, nonlinear channel equalization and robot control. It has great generalization and learning fast characteristics enough to deal with the basic applications of neural network. But if the complexity of the higher non-linear task, there will be learning learning-difficulty situation. And the CMAC was originally designed for simple control applications, so high-dimensional input processing, such as: speech recognition which can’t be used by normal CMAC, so it need to improved. This paper proposed the deep cerebellar model articulation controller(DCMAC) for echo cancellation and the MIMO-DCMAC with the Softmax function for speech recognition. We stack the conventional single-layered CMAC models into multiple layers to form a DCMAC model, and re-modify the back propagation algorithm to get the update of DCMAC’s parameter. Due to the deep structure, DCMAC can have a better generalization error than the normal CMAC. The experimental results also show that DCMAC can build model more effectively than CMAC in signal processing.
Lin, Shou-Chuang, and 林首壯. "High Performance PID-type Cerebellar Model Articulation Controller Design." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/t6rks5.
Full text國立臺北科技大學
電機工程系所
94
As modeling the physical systems to meet the need of control purpose, finding mathematical models of these systems is a challenging work, and there are many approaches proposed to solve this problem. To reduce the complexity of analysis, model reduction and linearization techniques are frequently adopted. Also, insignificant parameters or inferences are sometimes neglected during the modeling process. Though using the forgoing obtained mathematical models can easily and quickly calculate the control force, in some circumstances, the control behavior of simulation is deviated from that of implementation because of too many unpractical assumptions and oversimplification. Consequently, the controller designed based on the mathematical model did not work properly. Due to the increasing complexity of modern controlled objects, accurate mathematical models are getting difficult to obtain. Mathematical models used in conventional control system analysis and design are established by way of experiments. From the frequency responses of experiments, the simplified models of the control system are then built by zero-pole matching and then the transfer function of the derived model to can be used to describe the dynamic characteristics. Motivated by Ziegler and Nichols PID tuning method, there are various PID controller design methods suggested. When the mathematical model is of order 1 or order 2, the designed PID controller performs well. However, for the high order systems, the performance of designed controller based on the second order system deteriorates and the closed-loop system is even out of control in the worst case. Moreover, when the parameters of plant fluctuate due to the environmental or artificial factors, PID parameters can not on-line and real-time self adjust. As a result, the robustness of closed-loop system is affected. To overcome the aforementioned disadvantages and implement the high performance PID controller with real-time parameter tuning ability, this thesis proposes a new Credit Assignment Cerebellar Model Articulation Controller (CA-CMAC), which is widely investigated in the intelligent control field. The research result of this thesis, the on-line CA-CMAC algorithm, is programmed by C++ language and accompanied with Matlab/Simulink to simulate the following plants: induction motor, aircraft, second-order system with steady-state error, and second-order unstable system. From the simulation results, it is seen that the proposed PID CA-CMAC can effectively control these plants and the performances of dynamic behaviors are improved dramatically.
龔書暉. "The cerebella model articulation controller based on CAM architecture." Thesis, 2001. http://ndltd.ncl.edu.tw/handle/97458667971351984150.
Full textSnow, Wanda Mae. "Cerebellar pathophysiology in a mouse model of Duchenne muscular dystrophy." 2012. http://hdl.handle.net/1993/11296.
Full textPeng, Yen-Jui, and 彭彥瑞. "Dynamic Petri Cerebellar Model Articulation Controller for Magnetic Levitation System." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/48571506368131012507.
Full text元智大學
電機工程學系
99
In this thesis, the control of the magnetic levitation system is achieved by the proposed intelligent controller, which is based on the cerebellar model articulation controller (CMAC). The magnetic levitation system is a complicated and tough problem for the conventional controller, because the system is a highly nonlinear system. Since the magnetic levitation system is without mechanical contact, friction and noise, it can be used for precise positioning. These advantages make it a wide range of applications on the maglev train, magnetic bearing, wind tunnel, and conveyor system, etc. The proposed intelligent controller is composed of a novel dynamic Petri CMAC controller which is utilized to approximate an ideal controller. The dynamic Petri is used to determine the passing of the Gaussian function value. Finally, the proposed intelligent control system is applied to the magnetic levitation system, and its performance is verified through simulation and experiments based on the field programmable gate array (FPGA) chip. From the simulation and experimental results for the magnetic levitation system, the system stability and desired control performance can be achieved by the proposed intelligent controller.