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Rozprawy doktorskie na temat „Neural interfaces”

Autor: Grafiati

Data publikacji: 4 czerwca 2021

Data aktualizacji: 29 stycznia 2023

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1

Minev, Ivan Rusev. "Soft neural interfaces." Thesis, University of Cambridge, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.610257.

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Park, Seongjun. "Multifunctional fiber-based neural interfaces." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/118086.

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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 161-174).<br>Neurological disorders affect up to a billion people worldwide, and their socioeconomic burden is projected to increase as the population ages. However, our ability to understand and to treat neural disorders is currently limited by the lack of tools capable of interfacing with the brain over extended periods of time. This is hypothesized to stem from the mismatch in mechanical

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3

Garcia, Cortadella Ramon. "High-Bandwidth Graphene Neural Interfaces." Doctoral thesis, Universitat Autònoma de Barcelona, 2021. http://hdl.handle.net/10803/673787.

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El funcionament del cervell es basa en processos complexos, que encara no s’han descrit i comprès detalladament. En les últimes dècades, la neurociència ha experimentat un desenvolupament accelerat, impulsat per noves neurotecnologías que permeten monitoritzar les dinàmiques de l’activitat elèctrica al cervell amb una major resolució espai-temporal i una àrea de cobertura més àmplia. No obstant això, a causa de l’alta complexitat de les xarxes neuronals al cervell, que són compostes per poblacions neuronals fortament interconnectades en àmplies regions cerebrals, estem lluny de detectar una fr

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4

Barrett, Richard. "Novel processing routes for neural interfaces." Thesis, University of Birmingham, 2014. http://etheses.bham.ac.uk//id/eprint/5137/.

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The thesis describes novel processing routes that have been developed to fabricate neural interfaces. A process has been investigated that uses microfabrication techniques to fabricate a multi-channel regenerative implant that can record nerve impulses in the peripheral nervous system (PNS), called the Spiral Peripheral Nerve Interface (SPNI). It is shown both theoretically and experimentally that the implant improves the ability to record signals in the PNS via micro-channels that act as axonal amplifiers. New processing routes are introduced to create robust interconnections from the SPNI to

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Watterson, William James. "Fractal Interfaces for Stimulating and Recording Neural Implants." Thesis, University of Oregon, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10636408.

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<p> From investigating movement in an insect to deciphering cognition in a human brain to treating Parkinson's disease, hearing loss, or even blindness, electronic implants are an essential tool for understanding the brain and treating neural diseases. Currently, the stimulating and recording resolution of these implants remains low. For instance, they can record all the neuron activity associated with movement in an insect, but are quite far from recording, at an individual neuron resolution, the large volumes of brain tissue associated with cognition. Likewise, there is remarkable success in

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6

Tringides, Christina M. (Christina Myra). "Materials selection and processing for reliable neural interfaces." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/98667.

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Thesis: S.B., Massachusetts Institute of Technology, Department of Materials Science and Engineering, 2015.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 48-50).<br>The understanding of the brain would be revolutionized by a tool that can measure intra- and extra-cellular electrical potentials on a parallelized scale, without disrupting the neural physiology. Existing technologies do not sufficiently carry out these functions. Using a thermal drawing process (TDP), multimaterial fibers comprised of polymer-metal composites can be fabricated to create fl

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7

Watterson, William. "Fractal Interfaces for Stimulating and Recording Neural Implants." Thesis, University of Oregon, 2018. http://hdl.handle.net/1794/23169.

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From investigating movement in an insect to deciphering cognition in a human brain to treating Parkinson's disease, hearing loss, or even blindness, electronic implants are an essential tool for understanding the brain and treating neural diseases. Currently, the stimulating and recording resolution of these implants remains low. For instance, they can record all the neuron activity associated with movement in an insect, but are quite far from recording, at an individual neuron resolution, the large volumes of brain tissue associated with cognition. Likewise, there is remarkable success in the

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8

Bonaccini, Calia Andrea. "Graphene field-effect transistors as flexible neural interfaces for intracortical electrophysiology." Doctoral thesis, Universitat Autònoma de Barcelona, 2021. http://hdl.handle.net/10803/671635.

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En els últims anys s’han produït desenvolupaments tecnològics innovadors en el camp dels implants neuronals per a aplicacions mèdiques. La comprensió de el cervell humà es considera com un dels majors reptes científics del nostre temps; com a conseqüència, estem sent testimonis d’una intensificació de la investigació en el desenvolupament de les interfícies cervell-màquina (IMC) per llegir i estimular l’activitat cerebral. No obstant això, els implants neuronals actualment disponibles ofereixen una eficàcia clínica modesta, en part a causa de les limitacions que plantegen la invasivitat dels m

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9

Richards, Stephen M. "End-user interfaces to electronic books." Thesis, Teesside University, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.358404.

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Electronic book production is a developing field which is still in its infancy. As such, there is still relatively little material available in the form of design principles or guidelines for the production of such books. It is also extremely complex, in that electronic book designers can take advantage of a number of delivery techniques which are not available to authors of traditional paper-based books. Such techniques include: multimedia (the delivery of text, pictures, sound, and moving pictures); and hypermedia (the linking of reactive information items to form non-linear structures). Thi

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10

Valdar, William Seth Jermy. "Residue conservation in the prediction of protein-protein interfaces." Thesis, University College London (University of London), 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.246927.

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11

Tan, Daniel. "Restoring Sensation in Human Upper Extremity Amputees using Chronic Peripheral Nerve Interfaces." Case Western Reserve University School of Graduate Studies / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=case1405070015.

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Asplund, Maria. "Conjugated Polymers for Neural Interfaces : Prospects, possibilities and future challenges." Doctoral thesis, Stockholm : Teknik och hälsa, Technology and Health, Kungliga Tekniska högskolan, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-9817.

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13

Meeker, Daniella Elena Patricia Burdick Joel Wakeman. "Cognitive neural prosthetics : brain machine interfaces based in parietal cortex /." Diss., Pasadena, Calif. : California Institute of Technology, 2005. http://resolver.caltech.edu/CaltechETD:etd-06032005-170438.

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14

Rezaei, Masoud. "Multimodal implantable neural interfacing microsystem." Doctoral thesis, Université Laval, 2019. http://hdl.handle.net/20.500.11794/36437.

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Afin d’étudier le cerveau humain dans le but d’aider les patients souffrant de maladies neurologiques, on a besoin d’une interface cérébrale entièrement implantable pour permettre l’accès direct aux neurones et enregistrer et analyser l’activité neuronale. Dans cette thèse, des interfaces cerveau-machine implantables (IMC) à très faible puissance basées sur plusieurs circuits et innovations de systèmes ont été étudiées pour être utilisées comme analyseur neuronal. Un tel système est destiné à recueillir l’activité neuronale émise par centaines de neurones tout en les activant à la demande en u

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15

Klüber, Viktor. "Development of a BCI based on real-time neural source localization." Master's thesis, Pontificia Universidad Católica del Perú, 2016. http://tesis.pucp.edu.pe/repositorio/handle/123456789/9519.

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Brain-Computer-Interfaces (BCIs) provide a novel way of communication by interpreting different types of brain states. This principle of reading minds makes BCIs a challenging but at the same time fascinating topic among the different disciplines of electrophysiology and biomedical-signal-processing. This work describes the development of a non-invasive BCI approach using steadystate- visual-evoked-potentials (SSVEP) as a mental strategy. SSVEP based BCIs require an external visual stimulation, which in this work is transmitted by a LCD-screen. Consequently, a visual reactive BCI is int

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16

Gandhi, Vaibhav Sudhir. "Quantum neural network based EEG filtering and adaptive brain-robot interfaces." Thesis, Ulster University, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.573092.

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Brain-computer interface (BCI) technology provides a means of communication that allows individuals with severely impaired movement to communicate with assistive devices using the electroencephalogram (EEG) or other brain signals. Dealing with the unknown embedded noise within the raw EEG and the inherent lower bandwidth of BCI are still two of the major challenges in making BC! practical for day-to-day use. The raw EEG signal recorded non-invasively during motor i ~~~y (MI) is intrinsically " ." embedded with non-Gaussian noise while the actual noise-free EEG has so far not been attained. The

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17

Hess, Allison Elizabeth. "Integration of Process-Incompatible Materials for Microfabricated Polymer-Based Neural Interfaces." Case Western Reserve University School of Graduate Studies / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=case1301687079.

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18

Noblía, Matilda. "Automatic Anomaly Detection in Graphical User Interfaces Using Deep Neural Networks." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-264457.

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The automatic detection of code errors is a ubiquitous part of the quality assurance process performed during software development. However, graphical errors that may occur in user interfaces are often detected manually. This report examines if deep neural networks (DNNs), may be used to automatically detect two common types of anomalies present in a graphical user interface. The results point towards this being the case for the particular dataset used in this report.<br>Automatisk detektering av kodfel är standard i kvalitetsarbetet som utförs vid mjukvaruveckling. Grafiska fel som kan uppstå

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Green, Rylie Adelle Graduate School of Biomedical Engineering Faculty of Engineering UNSW. "Conducting polymers for neural interfaces: impact of physico-chemical properties on biological performance." Publisher:University of New South Wales. Graduate School of Biomedical Engineering, 2009. http://handle.unsw.edu.au/1959.4/43337.

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This research investigates the use of conducting polymer coatings on platinum (Pt) electrodes for use in neuroprostheses. Conducting polymers aim to provide an environment conducive to neurite outgrowth and attachment at the electrode sites, producing intimate contact between neural cells and stimulating electrodes. Conducting polymers were electropolymerised onto model Pt electrodes. Conventional polymers polypyrrole (PPy) and poly-3,4-ethylenedioxythiphene (PEDOT) doped with polystyrenesulfonate (PSS) and para-toluenesulfonate (pTS)were investigated. Improvement of material properties was as

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20

Nyberg, Tobias. "Nano and micro patterned organic devices : from neural interfaces to optoelectronic devices /." Linköping : Univ, 2002. http://www.bibl.liu.se/liupubl/disp/disp2002/tek750s.pdf.

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Vomero, Maria [Verfasser]. "Development and Assessment of Ultra-Compliant Polyimide-Based Neural Interfaces / Maria Vomero." München : Verlag Dr. Hut, 2019. http://d-nb.info/1200754565/34.

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22

Wattanapanitch, Woradorn. "An ultra low power implantable neural recording system for brain-machine interfaces." Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/66472.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2011.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 179-187).<br>In the past few decades, direct recordings from different areas of the brain have enabled scientists to gradually understand and unlock the secrets of neural coding. This scientific advancement has shown great promise for successful development of practical brain-machine interfaces (BMIs) to restore lost body functions to patients with disorders in the central nervous system. Practica

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Bernardin, Evans K. "Demonstration of Monolithic-Silicon Carbide (SiC) Neural Devices." Scholar Commons, 2018. https://scholarcommons.usf.edu/etd/7474.

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Brain Machine Interfaces (BMI) provide a communication pathway between the electrical conducting units of the brain (neurons) and external devices. BMI technology may provide improved neurological and physiological functions to patients suffering from disabilities due to damaged nervous systems. Unfortunately, microelectrodes used in Intracortical Neural Interfaces (INI), a subset of the BMI device family, have yet to demonstrate long-term in vivo performance due to material, mechanical and electrical failures. Many state-of-the-art INI devices are constructed using stacks of multiple material

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24

Wharin, Caitlin. "Using neural reconfiguration to improve decode performance for use in brain machine interfaces." Thesis, McGill University, 2012. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=110426.

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To develop an optimal cognitive neural prosthetic to assist patients with motor dysfunction we must have the ability to accurately decode reach goals from patient's neural activity. Implantable microelectrode arrays are often used to record neural activity. A challenge researchers typically face when using arrays is that only a small number of neurons can be isolated for recording. Moreover, these neurons tend to over-represent certain spatial locations while under-representing others, thereby outputting a bias towards only a portion of reachable directions. Several studies using brain-machine

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Twardowski, Michael D. "Deriving Motor Unit-based Control Signals for Multi-Degree-of-Freedom Neural Interfaces." Digital WPI, 2020. https://digitalcommons.wpi.edu/etd-dissertations/601.

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Beginning with the introduction of electrically powered prostheses more than 65 years ago surface electromyographic (sEMG) signals recorded from residual muscles in amputated limbs have served as the primary source of upper-limb myoelectric prosthetic control. The majority of these devices use one or more neural interfaces to translate the sEMG signal amplitude into voltage control signals that drive the mechanical components of a prosthesis. In so doing, users are able to directly control the speed and direction of prosthetic actuation by varying the level of muscle activation and the associa

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Wright, John A. Tai Yu-Chong. "Through-wafer 3-D micromachining and its applications for neural interfaces and microrelays /." Diss., Pasadena, Calif. : California Institute of Technology, 1999. http://resolver.caltech.edu/CaltechETD:etd-11092006-110012.

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Schaefer, Nathan. "High-density cortical implant for brain-machine interfaces based on two-dimensional materials." Doctoral thesis, Universitat Autònoma de Barcelona, 2021. http://hdl.handle.net/10803/672514.

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El descobriment experimental del grafè el 2004 va suposar l’aparició d’un nou camp de recerca basat en materials bidimensionals, que investiga les seves propietats per a aplicacions en electrònica, fotònica i optoelectrònica i, recentment, també en tecnologia biomèdica. La neurotecnologia en particular, és un tema que podria beneficiar-se fortament d’aquests nous materials, ja que la seva naturalesa mecànica i química els permet formar una interfície estable i adaptable a la topologia del cervell. El transistor de grafè de porta liquida (gSGFET) és un dels diversos dispositius de detecció emer

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Matthews, Brett Alexander. "Probabilistic modeling of neural data for analysis and synthesis of speech." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/50116.

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This research consists of probabilistic modeling of speech audio signals and deep-brain neurological signals in brain-computer interfaces. A significant portion of this research consists of a collaborative effort with Neural Signals Inc., Duluth, GA, and Boston University to develop an intracortical neural prosthetic system for speech restoration in a human subject living with Locked-In Syndrome, i.e., he is paralyzed and unable to speak. The work is carried out in three major phases. We first use kernel-based classifiers to detect evidence of articulation gestures and phonological attributes

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Narasimhan, Seetharam. "Ultralow-Power and Robust Implantable Neural Interfaces: An Algorithm-Architecture-Circuit Co-Design Approach." Case Western Reserve University School of Graduate Studies / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=case1333743306.

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Jehenne, Béryl. "Hybrid biophysical model of invasive electrical neural recordings : focus on chronic implants in the peripheral nervous system." Thesis, Sorbonne Paris Cité, 2017. http://www.theses.fr/2017USPCB112.

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Dans ce projet nous nous intéresserons à la création d’un nouveau modèle permettant de simuler des enregistrements extracellulaires de l’activité électrique neurale dans le système nerveux périphérique. Ce modèle fut développé pour permettre une meilleure compréhension de l’impact des différentes propriétés des interfaces sur la qualité des signaux recueillis. Ce projet fut en particulier conduit pour répondre au contexte actuel qui voit le développement de nombreuses applications dans le domaine des neuro-prothèses et autres interfaces neurales à but biomédical. Nos intentions étaient de four

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Piazentin, Denis Renato de Moraes. "Conjuntos K de redes neurais e sua aplicação na classificação de imagética motora." Universidade de São Paulo, 2014. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-10022015-203830/.

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Esta dissertação de mestrado tem por objetivo analisar os conjuntos-K, uma hierarquia de redes neurais biologicamente mais plausíveis, e aplicá-los ao problema de classificação de imagética motora através do eletroencefalograma (EEG). A imagética motora consiste no ato de processar um movimento motor da memória humana de longo tempo para a memória de curto prazo. A imagética motora deixa um rastro no sinal do EEG que torna possível a identificação e classificação dos diferentes movimentos motores. A tarefa de classificação de imagética motora através do EEG é reconhecida como complexa devido à

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Araujo, Carlos Eduardo de. "Implante neural controlado em malha fechada." Universidade Tecnológica Federal do Paraná, 2015. http://repositorio.utfpr.edu.br/jspui/handle/1/1687.

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Um dos desafios propostos por pesquisadores em neurociência aos engenheiros biomédicos é a interação cérebro-máquina. O sistema nervoso comunica-se interpretando sinais eletroquímicos, e circuitos implantáveis podem tomar decisões de modo a interagir com o meio biológico. Sabe-se também que a doença de Parkinson está relacionada a um déficit do neurotransmissor dopamina. Para controlar a concentração de dopamina diferentes técnicas tem sido empregadas como estimuladores elétricos, magnéticos e drogas. Neste trabalho obteve-se o controle da concentração do neurotransmissor de maneira automática

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33

Allison, Brendan. "P3 or not P3 : toward a better P300 BCI /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2003. http://wwwlib.umi.com/cr/ucsd/fullcit?p3090451.

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Sarasola, Sanz Andrea [Verfasser], and Niels [Akademischer Betreuer] Birbaumer. "Novel Neural Interfaces For Upper-Limb Motor Rehabilitation After Stroke / Andrea Sarasola Sanz ; Betreuer: Niels Birbaumer." Tübingen : Universitätsbibliothek Tübingen, 2019. http://d-nb.info/1189653710/34.

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Schiefer, Matthew Anthony. "Optimized Design of Neural Interfaces for Femoral Nerve Clinical Neuroprostheses: Anatomically-Based Modeling and Intraoperative Evaluation." Cleveland, Ohio : Case Western Reserve University, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=case1237683232.

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Mountney, John M. "Particle Filtering Programmable Gate Array Architecture for Brain Machine Interfaces." Diss., Temple University Libraries, 2011. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/140741.

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Electrical Engineering<br>Ph.D.<br>Decoding algorithms for brain machine interfaces map neural firing times to the underlying biological output signal through dynamic tuning functions. In order to maintain an accurate estimate of the biological signal, the state of the tuning function parameters must be tracked simultaneously. The evolution of this system state is often estimated by an adaptive filter. Recent work demonstrates that the Bayesian auxiliary particle filter (BAPF) offers improved estimates of the system state and underlying output signal over existing techniques. Performance of th

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Aydinli, Aykut. "Interface Design: Personal Preference Analysis." Master's thesis, METU, 2008. http://etd.lib.metu.edu.tr/upload/12610035/index.pdf.

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This thesis analyzes the relationship between users&rsquo<br>characteristics and users&rsquo<br>interface preferences. An online survey is developed for this study. This survey composed of two types of questions: (1) users&rsquo<br>personal information such as age, gender, country, cognitive structure, and also computer experience and (2) user interface elements. More than 2,500 participants from 120 different countries throughout the world completed our survey. Results were analyzed using cross tables. Our findings show that there is a relationship between users&rsquo<br>characteristics and u

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Pumarica, Julio Cesar Saldaña. "Sistemas de detecção e classificação de impulsos elétricos de sinais neurais extracelulares." Universidade de São Paulo, 2016. http://www.teses.usp.br/teses/disponiveis/3/3140/tde-19122016-133542/.

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O registro de sinais neurais através de matrizes de microeletrodos implantáveis no meio extracelular do córtex cerebral tem-se tornado um paradigma experimental para a neurociência. Por outro lado, a pesquisa recente sobre neuropróteses motoras tem mostrado que é possível decodificar comandos motores a partir dos sinais registrados no meio extracelular do córtex cerebral. Em ambos os contextos, neurociência experimental e desenvolvimento de neuropróteses motoras, um dos aspectos encontrados no estado da arte ´e a utilização de circuitos integrados (chips) implantados no cérebro. Nesses chips,

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Vitale, Nicholas Heywood. "A Bluetooth Low Energy-Enabled Neural Microsystem for Activity-Dependent Intracortical Microstimulation in Non-Human Primates." Case Western Reserve University School of Graduate Studies / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=case156534949054962.

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Liao, James Yu-Chang. "Evaluating Multi-Modal Brain-Computer Interfaces for Controlling Arm Movements Using a Simulator of Human Reaching." Case Western Reserve University School of Graduate Studies / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=case1404138858.

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Southard, Spencer. "Designing 2D Interfaces For 3D Gesture Retrieval Utilizing Deep Learning." UNF Digital Commons, 2017. https://digitalcommons.unf.edu/etd/774.

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Gesture retrieval can be defined as the process of retrieving the correct meaning of the hand movement from a pre-assembled gesture dataset. The purpose of the research discussed here is to design and implement a gesture interface system that facilitates retrieval for an American Sign Language gesture set using a mobile device. The principal challenge discussed here will be the normalization of 2D gestures generated from the mobile device interface and the 3D gestures captured from video samples into a common data structure that can be utilized by deep learning networks. This thesis covers con

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42

Willett, Francis R. "Intracortical Brain-Computer Interfaces: Modeling the Feedback Control Loop, Improving Decoder Performance, and Restoring Upper Limb Function with Muscle Stimulation." Case Western Reserve University School of Graduate Studies / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=case149035819787053.

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Quaranta, Vanessa [Verfasser], Jörg [Gutachter] Behler, and Dominik [Gutachter] Marx. "Neural network molecular dynamics studies of water-zinc oxide interfaces / Vanessa Quaranta ; Gutachter: Jörg Behler, Dominik Marx ; Fakultät für Chemie und Biochemie." Bochum : Ruhr-Universität Bochum, 2018. http://d-nb.info/1157095763/34.

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Guo, Liang. "High-density stretchable microelectrode arrays: an integrated technology platform for neural and muscular surface interfacing." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/39513.

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Numerous applications in neuroscience research and neural prosthetics, such as retinal prostheses, spinal-cord surface stimulation for prosthetics, electrocorticogram (ECoG) recording for epilepsy detection, etc., involve electrical interaction with soft excitable tissues using a surface stimulation and/or recording approach. These applications require an interface that is able to set up electrical communications with a high throughput between electronics and the excitable tissue and that can dynamically conform to the shape of the soft tissue. Being a compliant and biocompatible material with

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Ormenesse, Vinícius. "Interface cérebro-computador explorando métodos para representação esparsa dos sinais." reponame:Repositório Institucional da UFABC, 2018.

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Orientador: Prof. Dr. Ricardo Suyama<br>Dissertação (mestrado) - Universidade Federal do ABC, Programa de Pós-Graduação em Engenharia da Informação, Santo André, 2018.<br>Uma interface cerebro-computador (BCI) e projetada para que se consiga, de modo efetivo, fornecer uma via alternativa de comunicacao entre o cerebro do usuario e o computador. Sinais captados por meio de eletrodos, tipicamente posicionados no escalpo do individuo, sao previamente processados para que haja eliminacao de ruidos externos. A partir dai, diversas tecnicas para processamento de sinais sao utilizadas para posteriorm

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Natter, Martin, Andreas Mild, Markus Feurstein, Georg Dorffner, and Alfred Taudes. "The effect of incentive schemes and organizational arrangements on new product development process." SFB Adaptive Information Systems and Modelling in Economics and Management Science, WU Vienna University of Economics and Business, 2001. http://epub.wu.ac.at/160/1/document.pdf.

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This paper proposes a new model for studying the new product development process in an artificial environment. We show how connectionist models can be used to simulate the adaptive nature of agents' learning exhibiting similar behavior as practically experienced learning curves. We study the impact of incentive schemes (local, hybrid and global) on the new product development process for different types of organizations. Sequential organizational structures are compared to two different types of team-based organizations, incorporating methods of Quality Function Deployment such as the House of

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Burger, Christiaan. "A novel method of improving EEG signals for BCI classification." Thesis, Stellenbosch : Stellenbosch University, 2014. http://hdl.handle.net/10019.1/95984.

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Thesis (MEng)--Stellenbosch University, 2014.<br>ENGLISH ABSTRACT: Muscular dystrophy, spinal cord injury, or amyotrophic lateral sclerosis (ALS) are injuries and disorders that disrupts the neuromuscular channels of the human body thus prohibiting the brain from controlling the body. Brain computer interface (BCI) allows individuals to bypass the neuromuscular channels and interact with the environment using the brain. The system relies on the user manipulating his neural activity in order to control an external device. Electroencephalography (EEG) is a cheap, non-invasive, real time ac

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Motuk, Halil Erdem. "Intelligent Student Assessment And Coaching Interface To Web-based Education-oriented Intelligent Experimentation On Robot Supported Laboratory Set-ups." Master's thesis, METU, 2003. http://etd.lib.metu.edu.tr/upload/1092931/index.pdf.

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This thesis presents a framework for an intelligent interface for the access of robotsupported remote laboratories through the Internet. The framework is composed of the student assessment and coaching system, the experimentation scenario, and the associated graphical user interface. Student assessment and coaching system is the main feature of a successful intelligent interface for use during remote experimentation with a robot-supported laboratory setup. The system has a modular structure employing artificial neural networks and a fuzzy-rule based decision process to model the student behavi

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Viana, Casals Damià. "EGNITE: Engineered Graphene for Neural Interface." Doctoral thesis, Universitat Autònoma de Barcelona, 2021. http://hdl.handle.net/10803/673330.

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La tecnologia d’implants neuronals en medicina té com a objectiu restaurar la funcionalitat del sistema nerviós en casos de degeneració o dany greu registrant o estimulant l’activitat elèctrica del teixit nerviós. Els implants neuronals disponibles actualment ofereixen una eficàcia clínica modesta, en part a causa de les limitacions que tenen els metalls utilitzats en la interfície elèctrica amb el teixit. Aquests materials comprometen la resolució de la interfície i, per tant, la restauració funcional amb el rendiment i l’estabilitat. En aquest treball presento uns implants neuronals flexible

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D'Angio, Paul Christopher. "Adaptive and Passive Non-Visual Driver Assistance Technologies for the Blind Driver Challenge®." Diss., Virginia Tech, 2012. http://hdl.handle.net/10919/27582.

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This work proposes a series of driver assistance technologies that enable blind persons to safely and independently operate an automobile on standard public roads. Such technology could additionally benefit sighted drivers by augmenting vision with suggestive cues during normal and low-visibility driving conditions. This work presents a non-visual human-computer interface system with passive and adaptive controlling software to realize this type of driver assistance technology. The research and development behind this work was made possible through the Blind Driver Challenge® initiative taken

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