Relevant bibliographies by topics / Neuron generation / Dissertations / Theses
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Dissertations / Theses on the topic 'Neuron generation'

Author: Grafiati
Published: 4 June 2021
Last updated: 11 February 2022

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1

Nangla, Jyoti. "The study of neurogenesis in the rodent telencephalon." Thesis, University of Oxford, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.325881.

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2

Stifani, Nicolas. "Generation of motor neuron diversity in the cervical spinal cord." Thesis, McGill University, 2012. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=106433.

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Motor neurons are important neuronal cell types in charge of controlling the contraction of effector muscles. In order to be able to generate complex movements specific groups of motor neurons (termed pools) must form precise connections with the muscles they innervate. Spinal cord motor neuron identities are specified by the coordination of extrinsic signals and intrinsic sets of transcription factors expressed by undifferentiated progenitors and maturing neurons. In an effort to elucidate the intrinsic mechanisms that control the formation of defined motor neuron pools, the detailed expressi
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3

Lyon, Alison Nicole. "Generation and Analysis of Motor Neuron Disease Models in Zebrafish." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1337276861.

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4

Christou, Yiota Apostolou. "Generation of motor neurons from embryonic stem cells : application in studies of the motor neuron disease mechanism." Thesis, University of Sheffield, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.505426.

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Embryonic stem cells are pluripotent cells with the potential to differentiate into any cell type in the presence of appropriate stimulatory factors and environmental cues. Their broad developmental potential has led to the proposal that in the future, the use of human embryonic stem cells or their differentiated progeny may be beneficial in regenerative medicine. In particular, a current goal in the field of clinical neurology is to use stem cells in cell-based therapies for motor neuron disease (MND) or amyotrophic lateral ~clerosis. MND is a progressive neurodegenerative disease that specif
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5

Yoo, Raphael J. "Generation of fibronectin gradients on a patterned surface for neuron growth studies." Access to citation, abstract and download form provided by ProQuest Information and Learning Company; downloadable PDF file, p, 2005. http://proquest.umi.com/pqdweb?did=974436301&sid=6&Fmt=2&clientId=8331&RQT=309&VName=PQD.

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6

Yang, Yujie. "Analysis of developmental and regenerative spinal motor neuron generation in zebrafish larvae." Thesis, University of Edinburgh, 2017. http://hdl.handle.net/1842/23591.

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In contrast to mammals, adult zebrafish are able to regenerate motor neurons and regain swimming ability within 6 weeks after a spinal cord injury. During this regenerative process, a range of developmental signals such as dopamine and serotonin are found to be re-deployed. This makes the research of embryonic signals become essential for the promotion of regeneration in the future. In my research, I am interested in identifying genes that are important for motor neuron development and motor axon differentiation. I also aimed to study the ability of zebrafish larvae to regenerate spinal motor
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7

Šagát, Martin. "Návrh generativní kompetitivní neuronové sítě pro generování umělých EKG záznamů." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2020. http://www.nusl.cz/ntk/nusl-413114.

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The work deals with the generation of ECG signals using generative adversarial networks (GAN). It examines in detail the basics of artificial neural networks and the principles of their operation. It theoretically describes the use and operation and the most common types of failures of generative adversarial networks. In this work, a general procedure of signal preprocessing suitable for GAN training was derived, which was used to compile a database. In this work, a total of 3 different GAN models were designed and implemented. The results of the models were visually displayed and analyzed in
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8

Michalikova, Martina. "Mechanisms of spikelet generation in cortical pyramidal neurons." Doctoral thesis, Humboldt-Universität zu Berlin, Lebenswissenschaftliche Fakultät, 2017. http://dx.doi.org/10.18452/17753.

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Unter Spikelets versteht man kleine Depolarisationen mit einer Spike-ähnlichen Wellenform, die man in intrazellulären Ableitungen von verschiedenen Neuronentypen messen kann. In kortikalen Pyramidenzellen wurde ausgeprägte Spikelet-Aktivität nachgewiesen, die erheblich das Membranpotential beeinflussen kann (Crochet et al., 2004; Epsztein et al., 2010; Chorev and Brecht, 2012). Nichtsdestotrotz bleibt der Ursprung von Spikelets in diesen Neuronen unbekannt. In der vorgelegten Arbeit nutzte ich theoretische Modellierung um die Mechanismen von Spikelet-Erzeugung in Pyramidenzellen zu untersuchen
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9

Shao, Jie. "Putative Role of Connectivity in the Generation of Spontaneous Bursting Activity in an Excitatory Neuron Population." Thesis, Georgia Institute of Technology, 2004. http://hdl.handle.net/1853/5086.

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Population-wide synchronized rhythmic bursts of electrical activity are present in a variety of neural circuits. The proposed general mechanisms for rhythmogenesis are often attributed to intrinsic and synaptic properties. For example, the recurrent excitation through excitatory synaptic connections determines burst initiation, and the slower kinetics of ionic currents or synaptic depression results in burst termination. In such theories, a slow recovery process is essential for the slow dynamics associated with bursting. This thesis presents a new hypothesis that depends on the connecti
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10

Wagner, Justin. "Whole Exome Sequencing to Identify Disease-Causing Mutations in Lower Motor Neuron Disease and Peripheral Neuropathy." Thesis, Université d'Ottawa / University of Ottawa, 2016. http://hdl.handle.net/10393/34124.

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Lower motor neuron diseases and peripheral neuropathies are two groups of diseases that include multiple rare disorders where many causes are unknown and definitive treatments are unavailable. Understanding the molecular etiology of these genetic diseases provides an opportunity for rapid diagnosis, preconception genetic counseling and, in a subset, direction for the development of future treatment options. The recent introduction of whole exome sequencing (WES) marks a new era in Mendelian genetic disease research as the majority of the coding region of the genome can be sequenced in a time
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11

Wang, Ling. "Microchannel enhanced neuron-computer interface: design, fabrication, biophysics of signal generation, signal strength optimization, and its applications to ion-channel screening and basic neuroscience research." Doctoral thesis, Universitat Politècnica de Catalunya, 2011. http://hdl.handle.net/10803/52810.

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En el presente trabajo, utilizamos técnicas de microfabricación, simulaciones numéricas, experimentos de electrofisiología para explorar la viabilidad en me- jorar la interface ordenador-neurona a través de microcanales, y la biofísica para la generación de señales en los dispositivos con microcanales. También demos- tramos que los microcanales pueden ser usados como una técnica prometedora con alto rendimiento en el muestreo automático de canales iónicos a nivel subce- lular. Finalmente, se ha diseñado, fabricado y probado el micropozo-microcanal como modificación adicional a los arreg
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12

Almeida, Lirio Onofre Baptista de. "Instrumentação computacional de tempo real integrada para experimentos com o duto óptico da mosca." Universidade de São Paulo, 2013. http://www.teses.usp.br/teses/disponiveis/76/76132/tde-19032013-155627/.

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Este trabalho descreve as pesquisas e desenvolvimentos em instrumentação eletrônica computacional, realizados para viabilizar experiências na área de neurobiofísica, tendo como objetivos principais a geração de estímulos visuais para invertebrados e a captação de sinais eletrofisiológicos gerados por sistemas biológicos sensoriais submetidos a estímulos. Trata-se de um conjunto de equipamentos que, operando de maneira integrada, são capazes de fornecer e sincronizar estímulos, realizar a aquisição dos dados de sinais neurais a serem utilizados para controle e análise em experiências in vivo\"
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13

Shmelkov, Konstantin. "Approches pour l'apprentissage incrémental et la génération des images." Thesis, Université Grenoble Alpes (ComUE), 2019. http://www.theses.fr/2019GREAM010/document.

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Cette thèse explore deux sujets liés dans le contexte de l'apprentissage profond : l'apprentissage incrémental et la génération des images. L'apprentissage incrémental étudie l'entrainement des modèles dont la fonction objective évolue avec le temps (exemple : Ajout de nouvelles catégories à une tâche de classification). La génération d'images cherche à apprendre une distribution d'images naturelles pour générer de nouvelles images ressemblant aux images de départ.L’apprentissage incrémental est un problème difficile dû au phénomène appelé l'oubli catastrophique : tout changement important de
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14

Garcia, Torres Douglas. "Generation of Synthetic Data with Generative Adversarial Networks." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-254366.

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The aim of synthetic data generation is to provide data that is not real for cases where the use of real data is somehow limited. For example, when there is a need for larger volumes of data, when the data is sensitive to use, or simply when it is hard to get access to the real data. Traditional methods of synthetic data generation use techniques that do not intend to replicate important statistical properties of the original data. Properties such as the distribution, the patterns or the correlation between variables, are often omitted. Moreover, most of the existing tools and approaches requi
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15

Cherti, Mehdi. "Deep generative neural networks for novelty generation : a foundational framework, metrics and experiments." Thesis, Université Paris-Saclay (ComUE), 2018. http://www.theses.fr/2018SACLS029/document.

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Des avancées significatives sur les réseaux de neurones profonds ont récemment permis le développement de technologies importantes comme les voitures autonomes et les assistants personnels intelligents basés sur la commande vocale. La plupart des succès en apprentissage profond concernent la prédiction, alors que les percées initiales viennent des modèles génératifs. Actuellement, même s'il existe des outils puissants dans la littérature des modèles génératifs basés sur les réseaux profonds, ces techniques sont essentiellement utilisées pour la prédiction ou pour générer des objets connus (i.e
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16

Daley, Jr John. "Generating Synthetic Schematics with Generative Adversarial Networks." Thesis, Högskolan Kristianstad, Fakulteten för naturvetenskap, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hkr:diva-20901.

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This study investigates synthetic schematic generation using conditional generative adversarial networks, specifically the Pix2Pix algorithm was implemented for the experimental phase of the study. With the increase in deep neural network’s capabilities and availability, there is a demand for verbose datasets. This in combination with increased privacy concerns, has led to synthetic data generation utilization. Analysis of synthetic images was completed using a survey. Blueprint images were generated and were successful in passing as genuine images with an accuracy of 40%. This study confirms
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17

Machado, Lucas Corrêa Netto. "Método de segmentações geométricas sucessivas para treinamento de redes neurais artificiais". Universidade Federal de Juiz de Fora (UFJF), 2013. https://repositorio.ufjf.br/jspui/handle/ufjf/4164.

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Submitted by Renata Lopes (renatasil82@gmail.com) on 2017-04-24T19:36:29Z No. of bitstreams: 1 lucascorreanettomachado.pdf: 1851458 bytes, checksum: 2a8b67f0adf8343c28d4e1121a757f6d (MD5)<br>Approved for entry into archive by Adriana Oliveira (adriana.oliveira@ufjf.edu.br) on 2017-04-25T15:23:10Z (GMT) No. of bitstreams: 1 lucascorreanettomachado.pdf: 1851458 bytes, checksum: 2a8b67f0adf8343c28d4e1121a757f6d (MD5)<br>Made available in DSpace on 2017-04-25T15:23:10Z (GMT). No. of bitstreams: 1 lucascorreanettomachado.pdf: 1851458 bytes, checksum: 2a8b67f0adf8343c28d4e1121a757f6d (MD5) Pr
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18

Hayes, John A. "Phenotypic properties and intrinsic currents of neurons involved in the neural generation of mammalian breathing." W&M ScholarWorks, 2007. https://scholarworks.wm.edu/etd/1539623329.

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Breathing is essential for mammalian life. Although there is an emerging consensus that the inspiratory respiratory rhythm is generated in a lower brainstem region known as the preBotzinger Complex (preBotC), the mechanism of rhythmogenesis is still unclear. Additionally, the modulation of intrinsic currents within preBotC neurons has yet to be fully elucidated. This dissertation addresses both of these issues and relies on imaging, electrophysiological, and modeling techniques. The first chapter examines the size and composition of the preBotC. The chapter also decribes the means by which sub
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19

Serene, Stephen Rothrock. "Generative probabilistic models of neuron morphology." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/85494.

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Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2013.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (page 40).<br>Thanks to automation in ultrathin sectioning and confocal and electron microscopy, it is now possible to image large populations of neurons at single-cell resolution. This imaging capability promises to create a new field of neural circuit microanatomy. Three goals of such a field would be to trace multi-cell neural networks, to classify neurons into morphological cell types, and to
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20

Nord, Sofia. "Multivariate Time Series Data Generation using Generative Adversarial Networks : Generating Realistic Sensor Time Series Data of Vehicles with an Abnormal Behaviour using TimeGAN." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-302644.

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Large datasets are a crucial requirement to achieve high performance, accuracy, and generalisation for any machine learning task, such as prediction or anomaly detection, However, it is not uncommon for datasets to be small or imbalanced since gathering data can be difficult, time-consuming, and expensive. In the task of collecting vehicle sensor time series data, in particular when the vehicle has an abnormal behaviour, these struggles are present and may hinder the automotive industry in its development. Synthetic data generation has become a growing interest among researchers in several fie
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21

Williamson, Richard. "A new generation neural prosthesis." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape8/PQDD_0021/NQ46945.pdf.

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22

Parodi, Livia. "Identification of genetic modifiers in Hereditary Spastic Paraplegias due to SPAST/SPG4 mutations Spastic paraplegia due to SPAST mutations is modified by the underlying mutation and sex Hereditary spastic paraplegia: More than an upper motor neuron disease." Thesis, Sorbonne université, 2019. http://www.theses.fr/2019SORUS317.

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Les Paraplégies Spastiques Héréditaires (PSHs) sont un groupe de maladies neurodégénératives rares qui surviennent suite à la dégénérescence progressive des voies corticospinales, entraînant une spasticité des membres inférieurs, signe distinctif de la pathologie. Elles se caractérisent par une extrême hétérogénéité qui concerne à la fois les facteurs génétiques et cliniques, ainsi que d’autres aspects de la maladie, tels que l’âge d’apparition et la sévérité des signes. Cette variabilité est typiquement observée chez les patients porteurs de mutations pathogènes dans SPAST, le gène le plus fr
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23

Rončka, Martin. "Material Artefact Generation." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2019. http://www.nusl.cz/ntk/nusl-399191.

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Ne vždy je jednoduché získání dostatečně velké a kvalitní datové sady s obrázky zřetelných artefaktů, ať už kvůli nedostatku ze strany zdroje dat nebo složitosti tvorby anotací. To platí například pro radiologii, nebo také strojírenství. Abychom mohli využít moderní uznávané metody strojového učení které se využívají pro klasifikaci, segmentaci a detekci defektů, je potřeba aby byla datová sada dostatečně velká a vyvážená. Pro malé datové sady čelíme problémům jako je přeučení a slabost dat, které způsobují nesprávnou klasifikaci na úkor málo reprezentovaných tříd. Tato práce se zabývá prozkou
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24

Lai, Ka-Hang. "Neural network approaches to caricature generation." Thesis, Loughborough University, 2007. https://dspace.lboro.ac.uk/2134/34440.

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A caricature is defined as a humorous drawing of a human facial figure that makes some of its distinct features appear exaggerated. It is easily observed that the exaggerations made by different artists on facial components are often different and are non-linear. This uniqueness of the exaggerations signifies the drawing style of an artist, but has unfortunately been ignored in the design of existing computer based automatic caricature generation systems. Nevertheless learning the unique drawing style and modelling the non-linear exaggerations distinct to an artist provide the key but a real c
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25

Vazin, Tandis. "Generation of Dopaminergic Neurons from Human Embryonic Stem Cells." Doctoral thesis, Stockholm : Bioteknologi, Kungliga Tekniska högskolan, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-9591.

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26

Shiraishi, Atsushi. "Generation of thalamic neurons from mouse embryonic stem cells." Kyoto University, 2018. http://hdl.handle.net/2433/230993.

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27

Guzulaitis, Robertas. "The organisation principles of spinal neural network: temporal integration of somatosensory input and distribution of network activity." Doctoral thesis, Lithuanian Academic Libraries Network (LABT), 2013. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2013~D_20130925_093153-76748.

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Spinal cord integrates somatosensory information and generates coordinated motor responses. Temporal integration can be used for discrimination of important stimuli from noise. Here it is shown that temporal integration of somatosensory inputs in sub second time scale is possible without changes of intrinsic properties of motoneurons. The activity of premotor neurons increases during temporal integration and can be a mechanism for short term information storage in spinal cord. Suppression of motor activity after painful somatosensory stimulus is called cutaneous silent period. This motor suppr
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Guzulaitis, Robertas. "Nugaros smegenų neuronų tinklo veikimo principai: somatosensorinės informacijos integracija ir aktyvumo išplitimas." Doctoral thesis, Lithuanian Academic Libraries Network (LABT), 2013. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2013~D_20130925_093406-59707.

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Nugaros smegenys gauna somatosensorinę informaciją, ją integruoja ir generuoja motorinius atsakus. Disertacijoje parodoma, kad somatosensorinių įėjimų viršsekundinė laikinė integracija nugaros smegenų neuronų tinkle vyksta ne dėl motorinių neuronų vidinių savybių kitimo. Laikinės integracijos metu padidėja priešmotorinių neuronų aktyvumas ir tai gali lemti informacijos apie somatosensorinį įėjimą saugojimą. Somatosensorinis tylos periodas – tai motorinio aktyvumo slopinimas po skausmingo stimulo. Jis plačiai aprašytas žmonėse, bei taikomas diagnostikoje. Nepaisant plataus taikymo, somatosensor
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29

Chuong, Amy (Amy S. ). "Development of next-generation optical neural silencers." Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/69521.

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Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2011.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 65-74).<br>The ability to rapidly and safely silence the electrical activity of individual neurons or neuron populations is invaluable in the study of brain circuit mapping. The expression of light-driven ion channels and pumps allows these pathways to be observed, mapped and controlled with millisecond timescale resolution. We here show that it is possible to mediate the powerful
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Noakes, Zoe. "Generation of functional striatal neurons from human pluripotent stem cells." Thesis, Cardiff University, 2016. http://orca.cf.ac.uk/98932/.

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The striatal neuronal populations comprise medium spiny projection neurons (MSNs) and GABAergic and cholinergic interneurons. Huntington’s disease (HD) involves massive degeneration of striatal neurons. The derivation of MSNs and interneurons from human pluripotent stem cells (hPSCs) would allow modelling of striatal function and HD in vitro, as well as provide a viable source of tissue for cell replacement therapy. Our lab has previously demonstrated that Activin A can induce MSN fate in hPSCs, and that these cells can survive and differentiate in vitro and in vivo. In this study, it was foun
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Arber, Charles. "Generation of disease-relevant neurons from human pluripotent stem cells." Thesis, Imperial College London, 2013. http://hdl.handle.net/10044/1/14670.

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This thesis describes investigations into exogenous factors that influence fate-choices during human pluripotent stem cell (PSC) differentiation in vitro. I describe novel growth factor environments and small molecule regimes that provide patterning signals enabling directed differentiation of human PSCs towards biomedically relevant neurons. I provide evidence that the TGFβ growth factor Activin can promote ventral telencephalic differentiation. Small adjustments in Activin administration can produce an over-representation of forebrain derived medium spiny neurons and cortical interneurons, w
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Patani, Rickie. "Generating motor neuron subtype diversity from human pluripotent stem cells." Thesis, University of Cambridge, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.610349.

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Lewis, John E. "Dynamics of neural networks and respiratory rhythm generation." Thesis, McGill University, 1991. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=60568.

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The phase resetting effects of stimulating the superior laryngeal nerve at different phases of the respiratory cycle in cats were measured in terms of the latency of onset of the cycle following stimulation. Fixed-delay stimulation was also used; for certain combinations of delay, stimulus intensity, and cycles between stimuli, it resulted in (1) a variable, rather than consistent, response, and (2) a transient increase in cycle duration during and after stimulation. Phase resetting and fixed-delay stimulation of a simple three-phase model for neural rhythm generation produce responses that ar
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Dowrick, Thomas Martin. "Biologically motivated circuits for third generation neural networks." Thesis, University of Liverpool, 2011. http://livrepository.liverpool.ac.uk/3024754/.

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Wen, Tsung-Hsien. "Recurrent neural network language generation for dialogue systems." Thesis, University of Cambridge, 2018. https://www.repository.cam.ac.uk/handle/1810/275648.

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Language is the principal medium for ideas, while dialogue is the most natural and effective way for humans to interact with and access information from machines. Natural language generation (NLG) is a critical component of spoken dialogue and it has a significant impact on usability and perceived quality. Many commonly used NLG systems employ rules and heuristics, which tend to generate inflexible and stylised responses without the natural variation of human language. However, the frequent repetition of identical output forms can quickly make dialogue become tedious for most real-world users.
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Jasieczek, Christina Bozena. "Investigation of hydrogen bonding and SHG activity of organic salts and co-crystals." Thesis, University of Sussex, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.318504.

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Kalainathan, Diviyan. "Generative Neural Networks to infer Causal Mechanisms : algorithms and applications." Thesis, Université Paris-Saclay (ComUE), 2019. http://www.theses.fr/2019SACLS516.

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La découverte de relations causales est primordiale pour la planification, le raisonnement et la décision basée sur des données d'observations ; confondre corrélation et causalité ici peut mener à des conséquences indésirables. La référence pour la découverte de relations causales est d'effectuer des expériences contrôlées. Mais dans la majorité des cas, ces expériences sont coûteuses, immorales ou même impossible à réaliser. Dans ces cas, il est nécessaire d'effectuer la découverte causale seulement sur des données d'observations. Dans ce contexte de causalité observationnelle, retrouver des
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Bahreininejad, Ardeshir. "Artificial neural networks for parallel finite element computations." Thesis, Heriot-Watt University, 1996. http://hdl.handle.net/10399/707.

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Hatami, Maryam [Verfasser], and Thomas [Akademischer Betreuer] Skutella. "Combination of Prox1/NeuroD1 Transcription Factor Overexpression Boosts Generation of Dentate Gyrus Granule Neurons from Pluripotent Stem Cells / Maryam Hatami ; Betreuer: Thomas Skutella." Heidelberg : Universitätsbibliothek Heidelberg, 2018. http://d-nb.info/1177386011/34.

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Casas, Manzanares Noé. "Injection of linguistic knowledge into neural text generation models." Doctoral thesis, Universitat Politècnica de Catalunya, 2020. http://hdl.handle.net/10803/671045.

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Language is an organic construct. It emanates from the need for communication and changes through time, influenced by multiple factors. The resulting language structures are a mix of regular syntactic and morphological constructions together with divergent irregular elements. Linguistics aims at formalizing these structures, providing a rationalization of the underlying phenomena. However, linguistic information alone is not enough to fully characterize the structures in language, as they are intrinsically tied to meaning, which constrains and modulates the applicability of the linguistic phen
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Ellerbrock, Thomas M. "Multilayer neural networks learnability, network generation, and network simplification /." [S.l. : s.n.], 1999. http://deposit.ddb.de/cgi-bin/dokserv?idn=958467897.

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Vougiouklis, Pavlos. "Neural generation of textual summaries from knowledge base triples." Thesis, University of Southampton, 2019. https://eprints.soton.ac.uk/428045/.

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Most people need textual or visual interfaces in order to make sense of Semantic Web data. In this thesis, we investigate the problem of generating natural language summaries for structured data encoded as triples using neural networks. We propose an end-to-end trainable architecture that encodes the information from a set of triples into a vector of fixed dimensionality and generates a textual summary by conditioning the output on this encoded vector. In order to both train and evaluate the performance of our approach, we explore different methodologies for building the required data-to-text
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43

Zhang, Xingxing. "Natural language generation as neural sequence learning and beyond." Thesis, University of Edinburgh, 2017. http://hdl.handle.net/1842/28930.

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Natural Language Generation (NLG) is the task of generating natural language (e.g., English sentences) from machine readable input. In the past few years, deep neural networks have received great attention from the natural language processing community due to impressive performance across different tasks. This thesis addresses NLG problems with deep neural networks from two different modeling views. Under the first view, natural language sentences are modelled as sequences of words, which greatly simplifies their representation and allows us to apply classic sequence modelling neural networks
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Khan, Muhammad Jazib. "Programmable Address Generation Unit for Deep Neural Network Accelerators." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-271884.

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The Convolutional Neural Networks are getting more and more popular due to their applications in revolutionary technologies like Autonomous Driving, Biomedical Imaging, and Natural Language Processing. With this increase in adoption, the complexity of underlying algorithms is also increasing. This trend entails implications for the computation platforms as well, i.e. GPUs, FPGA, or ASIC based accelerators, especially for the Address Generation Unit (AGU), which is responsible for the memory access. Existing accelerators typically have Parametrizable Datapath AGUs, which have minimal adaptabili
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Friel, Ruairi Donal. "The generation of a herpes simplex virus vector to target motor neurons." Thesis, University of Glasgow, 2001. http://theses.gla.ac.uk/3960/.

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Herpes simplex virus (HSV) is a neurovirulent virus that in the course of natural infection of man predominantly infects sensory neurons. The aim of this project was to develop a safe, nonvirulent HSV, capable of expressing exogenous genes which altered the binding characteristics of the virus so that tropism was directed predominantly to motor nerves. It was envisaged that these viruses could then act as prototypes for gene therapy vectors targeted to the treatment of motor nerve diseases. To achieve this, two mutant viruses were created, RFa and RFb. These contained deletions of the main HSV
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Brown, Sarah. "Adult generation of dopaminergic neurons in a genetic model of Parkinson's disease." Thesis, University of Sheffield, 2018. http://etheses.whiterose.ac.uk/21269/.

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Pace, Ryland Weed. "Mechanisms underlying inspiratory burst generation in preBotzinger complex neurons of neonatal mice." W&M ScholarWorks, 2008. https://scholarworks.wm.edu/etd/1539616802.

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Understanding how molecular and cellular events integrate into a physiological behavior is a major question in neuroscience. Breathing can be easily studied using rhythmically active in vitro models that provide experimental access to perform cellular- and synapse-level experiments. While it is widely accepted that breathing depends on a specific region of the brainstem dubbed the preBotzinger complex (preBotC), the mechanisms responsible for rhythm generation remain unclear. In Chapter 1, we examine the pacemaker hypothesis, which posits that pacemaker properties and/or the persistent sodium
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Soofi, Wafa Ahmed. "Regulation of rhythmic activity in the stomatogastric ganglion of decapod crustaceans." Diss., Georgia Institute of Technology, 2014. http://hdl.handle.net/1853/53440.

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Neuronal networks produce reliable functional output throughout the lifespan of an animal despite ceaseless molecular turnover and a constantly changing environment. The cellular and molecular mechanisms underlying the ability of these networks to maintain functional stability remain poorly understood. Central pattern generating circuits produce a stable, predictable rhythm, making them ideal candidates for studying mechanisms of activity maintenance. By identifying and characterizing the regulators of activity in small neuronal circuits, we not only obtain a clearer understanding of how ne
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Stigeborn, Patrik. "Generating 3D-objects using neural networks." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-230668.

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Enabling a 2D- to 3D-reconstruction is an interesting future service for Mutate AB, where this thesis is conducted. Convolutional neural networks (CNNs) is examined in different aspects, in order to give a realistic perception of what this technology is capable of. The task conducted, is the creation of a CNN that can be used to predict how an object from a 2D image would look in 3D. The main areas that this CNN is optimized for are Quality, Speed, and Simplicity. Where Quality is the output resolution of the 3D object, Speed is measured by the number of seconds it takes to complete a reconstr
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Liu, Mengxin. "Generative Neural Network for Portfolio Optimization." Thesis, Mälardalens högskola, Akademin för utbildning, kultur och kommunikation, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-53027.

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This thesis aims to overcome the drawbacks of traditional portfolio optimization by employing Generative Deep Neural Networks on real stock data. The proposed framework is capable of generating return data that have similar statistical characteristics as the original stock data. The result is acquired using Monte Carlo simulation method and presented in terms of individual risk. This method is tested on real Swedish stock market data. A practical example demonstrates how to optimize a portfolio based on the output of the proposed Generative Adversarial Networks.
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