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Дисертації з теми "Artificial Brains"

Автор: Grafiati

Опубліковано: 3 червня 2025

Оновлено: 31 липня 2025

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1

TEGELUND, BJÖRN, and JOHAN WIKSTRÖM. "Evolution of Artificial Brains in Simulated AnimalBehaviour." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-136174.

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In this report we simulate artificial intelligence in animals using genetic algorithms. In similar models, advanced artificial neural networks have been used for decision making. We present two simpler decision-making models. Using two models based on linear and radial basis functions we find similar behaviours as those found in other studies, including food seeking, obstacle avoidance and predator-versus-prey dynamics. The results show that both decision-making models are equally efficient at gathering food and avoiding obstacles. The models differed in survival strategies when faced with dan

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2

Koperski, Jeffrey David. "Frames, brains, and chinese rooms problems in artificial intelligence /." Lynchburg, Va. : Liberty University, 1991. http://digitalcommons.liberty.edu.

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3

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.

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Animals evolved to survive in dynamic environments by developing multiple behavioral strategies to adapt and to learn from their interaction with the world. Associative mechanisms and internal representations are at the core brain computation, however, to acquire a complete knowledge of their relevance for behavior it is necessary to take into consideration their embodied nature. In an interdisciplinary effort which integrates methods from computational modeling, robotics, and electrophysiology, this dissertation presents a series of studies that aim at advancing the understanding of the autom

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4

Foucault, Cédric. "Adaptive learning in humans, brains and neural networks : the role of uncertainty and probabilities." Electronic Thesis or Diss., Sorbonne université, 2023. http://www.theses.fr/2023SORUS629.

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Lors de l’apprentissage, le cerveau est confronté à un problème difficile. Il apprend d’un environnement qui est à la fois stochastique et dynamique, c’est-à-dire qui se caractérise par des distributions de probabilité qui sont susceptibles de changer. La stochasticité incite le cerveau à intégrer un grand nombre d’observations passées pour arriver à une meilleure précision des connaissances acquises, tandis que la propension au changement l’incite à ne prendre en compte que les observations les plus récentes. Cette tension donne lieu à un compromis dans le taux d’apprentissage à utiliser, que

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5

Risi, Sebastian. "Towards Evolving More Brain-Like Artificial Neural Networks." Doctoral diss., University of Central Florida, 2012. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/5460.

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An ambitious long-term goal for neuroevolution, which studies how artificial evolutionary processes can be driven to produce brain-like structures, is to evolve neurocontrollers with a high density of neurons and connections that can adapt and learn from past experience. Yet while neuroevolution has produced successful results in a variety of domains, the scale of natural brains remains far beyond reach. In this dissertation two extensions to the recently introduced Hypercube-based NeuroEvolution of Augmenting Topologies (HyperNEAT) approach are presented that are a step towards more brain-lik

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6

Kim, Eun Young Reinhardt Joseph M. Johnson Hans J. "Multistructure segmentation of multimodal brain images using artificial neural networks." [Iowa City, Iowa] : University of Iowa, 2009. http://ir.uiowa.edu/etd/387.

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7

Kim, Eun Young. "Multistructure segmentation of multimodal brain images using artificial neural networks." Thesis, University of Iowa, 2009. https://ir.uiowa.edu/etd/387.

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A method for simultaneously segmenting multiple anatomical brain structures from multi-modal MR images has been developed. An artificial neural network (ANN) was trained from a set of feature vectors created by a combination of high-resolution registration methods, atlas based spatial probability distributions, and a training set of 16 expert traced data sets. A set of feature vectors were adapted to increase performance of ANN segmentation; 1) a modified spatial location for structural symmetry of human brain, 2) neighbors along the priors' descent for directional consistency, and 3) candidat

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8

Golesorkhi, Mehrshad. "The Brain's Intrinsic Spatiotemporal Structure and Its Potential Application in Artificial Intelligence." Thesis, Université d'Ottawa / University of Ottawa, 2021. http://hdl.handle.net/10393/42211.

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Neuroscience focuses largely on how the brain mediates perception and cognition. However, this leaves open the basic organization and hierarchies of the brain’s neural activity by itself prior to and independent of its role in cognition. A recent model characterizes the brain’s intrinsic features in terms of temporo- spatial dynamical (rather than cognitive) terms – the brain’s spatiotemporal hierarchies shape what is called ‘brain’s intrinsicality’. The brain’s intrinsicality may provide potential applications in designing artificial intelligence (AI). In this dissertation, I explore ‘intrins

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9

Chang, Spencer J. "Brain Tumor Classification Using Hit-or-Miss Capsule Layers." DigitalCommons@CalPoly, 2019. https://digitalcommons.calpoly.edu/theses/2006.

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The job of classifying or annotating brain tumors from MRI images can be time-consuming and difficult, even for radiologists. To increase the survival chances of a patient, medical practitioners desire a means for quick and accurate diagnosis. While datasets like CIFAR, ImageNet, and SVHN have tens of thousands, hundreds of thousands, or millions of samples, an MRI dataset may not have the same luxury of receiving accurate labels for each image containing a tumor. This work covers three models that classify brain tumors using a combination of convolutional neural networks and of the concept of

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10

Grönqvist, Hampus, and David Zetterdahl. "METAL IN YOUR BRAIN - AI." Thesis, Örebro universitet, Institutionen för naturvetenskap och teknik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-36147.

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Denna rapport går igenom utvecklingen av spelet Metal in Your Brain som skickas in som ett bidrag till Swedish Game Awards (SGA), nordens största spelutvecklar-tävling och hur den artificiella intelligensen är uppbyggd och funktionerar. Den artificiella intelligensen är konstruerad på två sätt: fuzzy logic som står bakom de handlingar som en icke spelande karaktär (NPC) tar beroende på vilken situation den befinner sig i och A*-sökning som används för att en NPC ska kunna söka sig fram till ett mål och ta den kortaste vägen eller fly från spelaren för att gömma sig bakom närmsta skydd. Metal i

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11

Gonzalez, Andrea. "Artificial rearing alters c-Fos expression in the brain of juvenile female rats." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/MQ58872.pdf.

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12

KOBAYASHI, Takeshi, Hiroyuki HONDA, Tetsuo OGAWA, et al. "Construction of an Electroencephalogram-Based Brain-Computer Interface Using an Artificial Neural Network." Institute of Electronics, Information and Communication Engineers, 2003. http://hdl.handle.net/2237/15000.

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13

Gozzoli, Manuel. "Intelligenza Artificiale: tecniche e applicazioni." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2017.

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14

Bundsen, Andreas. "Artificial selection for large and small relative brain size in guppies (Poecilia reticulata) results in differences in cognitive ability." Thesis, Uppsala universitet, Institutionen för biologisk grundutbildning, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-192953.

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Vertebrate brain size is remarkably variable at all taxonomic levels. Brains of mammals forexample, range from 0.1 gram in small bats (Chiroptera) to about 8-9 kilos in Sperm whales(Physeter macrocephalus). But what does this variation in size really mean? The link between brainsize and cognition is debated due to, for instance the difficulties of comparing cognitive ability indifferent species. A large number of comparative studies continue to provide information aboutcorrelations found both within and between species. The relative size of the brain is an example of apopular measurement that

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15

Sheppard, Steven James. "Diagnosis from single photon emission tomography images of the human brain using artificial neural networks." Thesis, University of Warwick, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.307348.

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16

Weman, Nicklas. "Empirical Investigation of the Effect of Pruning Artificial Neural Networks With Respect to Increased Generalization Ability." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-60112.

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This final thesis covers the basics of artificial neural networks, with focus on supervised learning, pruning and the problem of achieving good generalization ability. An empirical investigation is conducted on twelve dierent problems originating from the Proben1 benchmark collection.The results indicate that pruning is more likely to improve generalization if the data is sensitive to overtting or if the networks are likely to be trapped in local minima.

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17

Friholm, Robin, and Paulina Odeholm. "Människan och webben : Ett arbete om hur webben påverkar människan." Thesis, Blekinge Tekniska Högskola, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-10527.

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I detta arbete skriver vi om den semantiska webben och vad den har för effekt på människan. Vi börjar med att skriva vad den semantiska webben är för att sedan gå över till hur webben fram till idag påverkat människan för att kunna fastställa vad en semantisk webb kan göra föratt påverka oss. Vi skriver även om det mänskliga elementet, hur vi utvecklas tillsammansmed teknologin och hur vi har förändrats under processen. Vi skriver hur webben ändrarspråket, tänkandet och till och med hur den gör oss människor lata men även hur den hjälpeross i vår utveckling.<br>In this paper we write about the

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18

Murphy, Donald. "An investigation of relationships between television viewing and the artificial fulfillment of creative, right brain properties." Instructions for remote access. Click here to access this electronic resource. Access available to Kutztown University faculty, staff, and students only, 1992. http://www.kutztown.edu/library/services/remote_access.asp.

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Thesis (M.S.)--Kutztown University of Pennsylvania, 1992.<br>Source: Masters Abstracts International, Volume: 45-06, page: 2717. Abstract precedes thesis as 2 preliminary leaves. Typescript. Includes bibliographical references (leaves 53-54).

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19

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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20

Kalvakolanu, Anjaneya Teja Sarma. "Brain Tumor Detection and Classification from MRI Images." DigitalCommons@CalPoly, 2021. https://digitalcommons.calpoly.edu/theses/2267.

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A brain tumor is detected and classified by biopsy that is conducted after the brain surgery. Advancement in technology and machine learning techniques could help radiologists in the diagnosis of tumors without any invasive measures. We utilized a deep learning-based approach to detect and classify the tumor into Meningioma, Glioma, Pituitary tumors. We used registration and segmentation-based skull stripping mechanism to remove the skull from the MRI images and the grab cut method to verify whether the skull stripped MRI masks retained the features of the tumor for accurate classification. In

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21

El-Deredy, Wael. "Artificial neural networks in pattern recognition : classification and analysis of proton NMR spectra of human brain tumours." Thesis, University College London (University of London), 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.300151.

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22

MUSUMECI, MARIALESSIA. "ARTIFICIAL INTELLIGENCE APPLIED TO THE STUDY OF CONSCIOUS PERCEPTIVE STATES." Doctoral thesis, Università degli Studi di Milano, 2019. http://hdl.handle.net/2434/607650.

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My PhD research consists of the processing of signals from a 14-electrode EEG system, connected to immersive glasses that allow for a realistic visual experience and for the investigation of the brain network in order to identify signal features corresponding to different perceptive and cognitive stimuli. The aim of the research is to implement a procedure that identifies correspondences among EEG signals and chaotic attractors. The chaotic attractors can be defined as a trajectory of a dynamical system, contained in a defined volume of phase space. A dynamical system can have chaotic beha

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23

Frassineti, Lorenzo. "Development of multimodal systems for monitoring paediatric brain disorders." Doctoral thesis, Università di Siena, 2023. https://hdl.handle.net/11365/1227514.

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In the last years, artificial intelligence (AI) methods are extensively applied in several fields, including healthcare, with several applications to support diagnostic approaches or treatments. The research activities carried on during my PhD work have been devoted to the development of AI methods to support neonatologists and paediatric neurologists in the detection, characterization, and monitoring of brain disorders in paediatric subjects. Specifically, the PhD work was focused on the development of multimodal systems for: neonatal and absence seizure detection; quantitative characterizati

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24

Clark, Matthew C. "Knowledge-Guided Processing of Magnetic Resonance Images of the Brain." Scholar Commons, 1998. http://purl.fcla.edu/fcla/etd/SFE0000001.

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25

Lin, Chii-Wann. "Optical measurement of intracellular pH in brain tissue and the quantitative application of artificial neural networks to spectral analysis." Case Western Reserve University School of Graduate Studies / OhioLINK, 1993. http://rave.ohiolink.edu/etdc/view?acc_num=case1056659116.

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26

Yagi, Hideo. "Spontaneous and artificial lesions of magnocellular reticular formation of brain stem deteriorate avoidance learning in senescence accelerated mouse SAM." Kyoto University, 1999. http://hdl.handle.net/2433/181754.

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27

Chaturvedi, Ashutosh. "Development of Accurate Computational Models for Patient-Specific Deep Brain Stimulation." Case Western Reserve University School of Graduate Studies / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=case1323392558.

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28

Dalhoumi, Sami. "On pattern classification in motor imagery-based brain-computer interfaces." Thesis, Montpellier, 2015. http://www.theses.fr/2015MONTS240.

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Une interface cerveau-machine (ICM) est un système qui permet d'établir une communication directe entre le cerveau et un dispositif externe, en contournant les voies de sortie normales du système nerveux périphérique. Différents types d'ICMs existent dans la littérature. Parmi eux, les ICMs basées sur l'imagerie motrice sont les plus prometteuses. Elles sont basées sur l'autorégulation des rythmes sensorimoteurs par l'imagination de mouvement des membres différents (par exemple, imagination du mouvement de la main gauche et la main droite). Les ICMs basées sur l'imagerie motrice sont les meill

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29

Laureano, Álvaro Macedo. "Uso de células natural killer expandidas e ativadas in vitro na presença de células apresentadora de antígenos artificial (AAPC) no tratamento de meduloblastoma." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2014. http://hdl.handle.net/10183/108331.

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Meduloblastoma (MB) e Tumor Teratóide Rabdóide Atipico (TTRA) são tumores malignos do sistema nervoso central (SNC) que ocorrem na infância. Embora tenha havido um aumento na sobrevida, recorrência e metástases são frequentes e as opções terapêuticas poucas e tóxicas para crianças. Uma alternativa à terapia tradicional é a imunoterapia, que pode contornar os efeitos tóxicos associados à radioterapia e quimioterapia. De uma forma geral a imunoterapia depende da presença de antígenos associados a tumor (TAA) e/ou processamento de antígenos expressos pelo HLA classe I. No entanto, TAA para MB ou

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30

Salihoglu, Utku. "Toward a brain-like memory with recurrent neural networks." Doctoral thesis, Universite Libre de Bruxelles, 2009. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/210221.

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For the last twenty years, several assumptions have been expressed in the fields of information processing, neurophysiology and cognitive sciences. First, neural networks and their dynamical behaviors in terms of attractors is the natural way adopted by the brain to encode information. Any information item to be stored in the neural network should be coded in some way or another in one of the dynamical attractors of the brain, and retrieved by stimulating the network to trap its dynamics in the desired item’s basin of attraction. The second view shared by neural network researchers is to base

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31

Ahmed, Eman Ahmed Sayed. "Modélisation constructive des systèmes à événements discrets. Application aux organismes artificiels." Thesis, Université Côte d'Azur, 2020. http://www.theses.fr/2020COAZ4016.

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Les humains peuvent ressentir leurs muscles. Ils peuvent également reconnaître leur environnement et les objets qui s'y trouvent. Enfin, ils sont capables de se situer dans cet environnement et d'y atteindre des objets. Comment ces capacités sont acquises et interagissent les unes avec les autres au cours du développement ? Cette question demeure ouverte en biologie. Notre objectif est donc d’aider les biologistes à mieux comprendre comment un humain est capable de construire sa carte cognitive et d’effectuer des mouvements dirigés vers un objectif. Sur le plan développemental, l’acquisition d

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32

Clark, Matthew C. "Knowledge guided processing of magnetic resonance images of the brain [electronic resource] / by Matthew C. Clark." University of South Florida, 2001. http://purl.fcla.edu/fcla/etd/SFE0000001.

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Includes vita.<br>Title from PDF of title page.<br>Document formatted into pages; contains 222 pages.<br>Includes bibliographical references.<br>Text (Electronic thesis) in PDF format.<br>ABSTRACT: This dissertation presents a knowledge-guided expert system that is capable of applying routinesfor multispectral analysis, (un)supervised clustering, and basic image processing to automatically detect and segment brain tissue abnormalities, and then label glioblastoma-multiforme brain tumors in magnetic resonance volumes of the human brain. The magnetic resonance images used here consist of three f

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33

Mendeleck, Andre. "Um modelo conexionista para a geração de movimentos voluntarios em ambiente desestruturado." [s.n.], 1995. http://repositorio.unicamp.br/jspui/handle/REPOSIP/263849.

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Orientador: Douglas Eduardo Zampieri<br>Tese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia Mecanica<br>Made available in DSpace on 2018-07-20T21:35:26Z (GMT). No. of bitstreams: 1 Mendeleck_Andre_D.pdf: 34563816 bytes, checksum: eb6f74befb171f93b3b0ab498352357e (MD5) Previous issue date: 1995<br>Resumo: Neste trabalho apresentamos uma estrutura neuronal artificial com autoaprendizado para o auxílio à geração de trajetórias em um ambiente desestruturado, O objetivo é formar uma sequência de valores de referência que podem auxiliar a definição de um caminho ou uma tr

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34

Viola, Federica. "Automatic Sleep Scoring To Study Brain Resting State Networks During Sleep In Narcoleptic And Healthy Subjects : A Combination Of A Wavelet Filter Bank And An Artificial Neural Network." Thesis, Linköpings universitet, Institutionen för medicin och hälsa, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-110950.

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Manual sleep scoring, executed by visual inspection of the EEG, is a very time consuming activity, with an inherent subjective decisional component. Automatic sleep scoring could ease the job of the technicians, because faster and more accurate. Frequency information characterizing the main brain rhythms, and consequently the sleep stages, needs to be extracted from the EEG data. The approach used in this study involves a wavelet filter bank for the EEG frequency features extraction. The wavelet packet analysis tool in MATLAB has been employed and the frequency information subsequently used fo

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35

Teo, Jason T. W. Information Technology &amp Electrical Engineering Australian Defence Force Academy UNSW. "Pareto multi-objective evolution of legged embodied organisms." Awarded by:University of New South Wales - Australian Defence Force Academy. School of Information Technology and Electrical Engineering, 2003. http://handle.unsw.edu.au/1959.4/38682.

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The automatic synthesis of embodied creatures through artificial evolution has become a key area of research in robotics, artificial life and the cognitive sciences. However, the research has mainly focused on genetic encodings and fitness functions. Considerably less has been said about the role of controllers and how they affect the evolution of morphologies and behaviors in artificial creatures. Furthermore, the evolutionary algorithms used to evolve the controllers and morphologies are pre-dominantly based on a single objective or a weighted combination of multiple objectives, and a large

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36

Abbasi, Mohammad Aamir. "Integration of sensory feedback in a closed-loop cortical brain-machine interface requires somatotopy." Thesis, Université de Paris (2019-....), 2019. https://theses.md.univ-paris-diderot.fr/ABBASI_MohammadAamir_va1.pdf.

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Le développement des interfaces cerveau-machine (ICM) apporte une nouvelle perspective aux patients en perte d'autonomie motrice. En combinant des enregistrements en ligne de l'activité cérébrale avec un algorithme de décodage, les patients peuvent apprendre à contrôler un bras robotique afin d'effectuer des actions simples. Cependant, contrairement à la grande quantité d'informations somatosensorielles fournie par les membres physiologiques vers le cerveau, les ICM actuelles sont dépourvues de capteurs de toucher et de force. Les patients doivent donc se fier uniquement à la vision et à l'aud

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Gomez, Chloé. "DeepStim Project. Modeling states of consciousness and their modulation by electrical Deep Brain Stimulation : from experimental data to computational models." Electronic Thesis or Diss., université Paris-Saclay, 2024. http://www.theses.fr/2024UPASL027.

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Le diagnostic des patients dans le coma est souvent diﬃcile. Les examens cérébraux ren- seignent les médecins sur l’étendue des lésions cérébrales mais ne permettent pas de déterminer avec précision l’état de conscience du patient. De plus, aucune approche thérapeutique ne permet une restauration systématique de la conscience.Des études pionnières menées sur des patients et des Primates Non Humains (PNH) ont montré que la Stimulation Cérébrale Profonde (SCP) des noy- aux intralaminaires du thalamus pouvait restaurer ou améliorer la conscience lorsqu’elle est altérée.Cependant, les conséquences

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Corral, López Alberto. "The link between brain size, cognitive ability, mate choice and sexual behaviour in the guppy (Poecilia reticulata)." Doctoral thesis, Stockholms universitet, Zoologiska institutionen, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-148547.

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Competition over access for mates has led to the evolution of many striking examples of morphological traits and behaviour in animals. The rapid development of the sexual selection field in recent decades have dramatically advanced our understanding of what traits make individuals more successful in attracting mates and how preferences for mates evolve over time. However, till now, research in this field has put less emphasis on the mechanisms that underlie variation in mate choice and sexual behaviour. Cognitive processes could potentially be key drivers of individual variation in mating pref

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39

Carboni, Lucrezia. "Graphes pour l’exploration des réseaux de neurones artificiels et de la connectivité cérébrale humaine." Electronic Thesis or Diss., Université Grenoble Alpes, 2023. http://www.theses.fr/2023GRALM060.

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L'objectif principal de cette thèse est d'explorer la connectivité cérébrale et celle des réseaux de neurones artificiels d'un point de vue de leur connectivité. Un modèle par graphes pour l'analyse de la connectivité structurelle et fonctionnelle a été largement étudié dans le contexte du cerveau humain mais, un tel cadre d'analyse manque encore pour l'analyse des systèmes artificiels. Avec l'objectif d'intégrer l'analyse de la connectivité dans les système artificiels, cette recherche se concentre sur deux axes principaux. Dans le premier axe, l'objectif principal est de déterminer une carac

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40

Niepceron, Brad. "Développement d'une application d'aide au diagnostic basée sur les réseaux de neurones artificiels pour la détection de tumeurs cérébrales." Electronic Thesis or Diss., Amiens, 2021. http://www.theses.fr/2021AMIE0071.

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Au cours de la dernière décennie, l'étude de systèmes de diagnostics de tumeurs cérébrales a attiré une attention particulière compte tenu de la croissance rapide de l'apprentissage profond et du développement de réseaux de neurones artificiels efficaces. Dans le domaine clinique, les algorithmes basés sur l'apprentissage profond sont utilisés pour résoudre des tâches visuelles, telles que la détection ou la segmentation de tissus malsains. Ces méthodes ont notamment prouvé leur efficacité dans le diagnostic de tumeurs agressives telles que les gliomes de haut grade. Néanmoins, contraints par

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41

Mileros, Martin D. "A Real-Time Classification approach of a Human Brain-Computer Interface based on Movement Related Electroencephalogram." Thesis, Linköping University, Department of Mechanical Engineering, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-2824.

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<p>A Real-Time Brain-Computer Interface is a technical system classifying increased or decreased brain activity in Real-Time between different body movements, actions performed by a person. Focus in this thesis will be on testing algorithms and settings, finding the initial time interval and how increased activity in the brain can be distinguished and satisfyingly classified. The objective is letting the system give an output somewhere within 250ms of a thought of an action, which will be faster than a persons reaction time. </p><p>Algorithms in the preprocessing were Blind Signal Separation a

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Pacheco, Renato Ferrari. "Módulos neurais para modelagem de falsas memórias." Universidade de São Paulo, 2004. http://www.teses.usp.br/teses/disponiveis/18/18133/tde-12052017-103355/.

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As falsas memórias são um tipo falha de memória, em que o indivíduo pode (a) reconhecer como tendo visto antes um objeto ou evento que não tenha ocorrido ou (b) não reconhecer algo previamente presenciado. Estes são o falso reconhecimento e a rejeição errada. Segundo a teoria do rastro difuso, dois processos distintos agem em paralelo durante a memorização e reconhecimento, um sobre as informações literais (verbatim) e o outro sobre a essência do significado da palavra (gist). Neste trabalho é proposto um sistema modular de redes neurais artificiais que considera estes dois processos, caracter

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43

Kogeyama, Renato. "Who is the cowboy in Washington?: beating google at their own game with neuroscience and cryptography." reponame:Repositório Institucional do FGV, 2014. http://hdl.handle.net/10438/13524.

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Submitted by RENATO Kogeyama (rkogeyama@gmail.com) on 2015-03-06T14:50:01Z No. of bitstreams: 1 Dissertação final.pdf: 1794273 bytes, checksum: b90c57e65dc2272d6edcdbabe5703b90 (MD5)<br>Approved for entry into archive by Janete de Oliveira Feitosa (janete.feitosa@fgv.br) on 2015-03-10T12:44:03Z (GMT) No. of bitstreams: 1 Dissertação final.pdf: 1794273 bytes, checksum: b90c57e65dc2272d6edcdbabe5703b90 (MD5)<br>Approved for entry into archive by Marcia Bacha (marcia.bacha@fgv.br) on 2015-03-12T19:58:58Z (GMT) No. of bitstreams: 1 Dissertação final.pdf: 1794273 bytes, checksum: b90c57e65dc227

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McConnell, George Charles. "Chronic inflammation surrounding intra-cortical electrodes is correlated with a local, neurodegenerative state." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/26615.

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Thesis (Ph.D)--Biomedical Engineering, Georgia Institute of Technology, 2009.<br>Committee Chair: Bellamkonda, Ravi; Committee Member: Babensee, Julia; Committee Member: Butera, Robert; Committee Member: DeWeerth, Steve; Committee Member: Lee, Robert; Committee Member: McKeon, Robert. Part of the SMARTech Electronic Thesis and Dissertation Collection.

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45

Khacef, Lyes. "Exploration du calcul bio-inspiré avec des architectures neuromorphiques auto-organisées." Thesis, Université Côte d'Azur, 2020. http://www.theses.fr/2020COAZ4085.

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La plasticité corticale du cerveau est l'une des principales caractéristiques qui nous permettent d'apprendre et de nous adapter à notre environnement. En effet, le cortex cérébral a la capacité de s'auto-organiser grâce à deux formes de plasticité : la plasticité structurelle qui crée ou coupe les connexions synaptiques entre les neurones, et la plasticité synaptique qui modifie la force des connexions synaptiques. Ces mécanismes sont très probablement à la base d'une caractéristique extrêmement intéressante du développement du cerveau humain : l'association multimodale. Malgré la diversité d

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Smart, Otis Lkuwamy. "Evolutionary algorithms and frequent itemset mining for analyzing epileptic oscillations." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/22709.

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Thesis (Ph. D.)--Electrical and Computer Engineering, Georgia Institute of Technology, 2007.<br>Committee Chair: Vachtsevanos, George J.; Committee Co-Chair: Litt, Brian; Committee Member: Butera, Robert J.; Committee Member: Echauz, Javier; Committee Member: Howard, Ayanna M.; Committee Member: Williams, Douglas B.

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47

Voils, Danny. "Scale Invariant Object Recognition Using Cortical Computational Models and a Robotic Platform." PDXScholar, 2012. https://pdxscholar.library.pdx.edu/open_access_etds/632.

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This paper proposes an end-to-end, scale invariant, visual object recognition system, composed of computational components that mimic the cortex in the brain. The system uses a two stage process. The first stage is a filter that extracts scale invariant features from the visual field. The second stage uses inference based spacio-temporal analysis of these features to identify objects in the visual field. The proposed model combines Numenta's Hierarchical Temporal Memory (HTM), with HMAX developed by MIT's Brain and Cognitive Science Department. While these two biologically inspired paradigms a

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Phan, Nhat Tan. "Calcul non-conventionnel basé sur les propriétés stochastiques de dispositifs spintroniques." Electronic Thesis or Diss., Université Grenoble Alpes, 2025. http://www.theses.fr/2025GRALT006.

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L'avancement rapide de l'intelligence artificielle (IA) au XXIe siècle a conduit à des percées remarquables dans divers domaines, du traitement du langage naturel à la vision par ordinateur. Cependant, la croissance exponentielle de l'IA pousse les technologies traditionnelles des semi-conducteurs à leurs limites, nécessitant des approches fondamentalement nouvelles en matière de calcul pouvant fournir la puissance et l'efficacité nécessaires. Les nanodispositifs spintroniques, en particulier les nano-oscillateurs à couple de spin (STNOs) et les jonctions tunnel superparamagnétiques perpendicu

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O, brien Caitlin. "Effects of prenatal stress on sepia officinalis." Thesis, Normandie, 2017. http://www.theses.fr/2017NORMC249/document.

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Le stress prénatal est un sujet d'intérêt éthologique croissant en raison de ses effets sur la santé humaine et le bien-être des animaux. Cette thése de doctorat s’intéresse à la seiche Sepia officinalis, un modèle pratique dans lequel la progéniture en développement peut être séparée de leurs mères pour examiner diverses sources potentielles de stress en isolement expérimental. Plusieurs catégories de facteurs de stress ont été appliquées aux embryons et aux juvéniles et la progéniture résultante a été testée dans une série d'épreuves physiologiques et comportementales. L'objectif était de dé

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50

Eraßme, Rolf. "Der Mensch und die 'Künstliche Intelligenz': Eine Profilierung und kritische Bewertung der unterschiedlichen Grundauffassungen vom Standpunkt des gemäßigten Realismus." Diss., RWTH Aachen, 2002. http://hdl.handle.net/10919/71556.

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After a short introduction concerning the problem of "Artificial Intelligence" (AI) the work continues with a summary of the state of the art.Thereafter, it goes on to profile four different basic scientific views of human beings and AI: symbolism, connectionism, biologism and physicalism. The emphasis is on the elucidation of anthropologically relevant statements to intelligence, spirit, thinking, perception, will, consciousness, self-consciousness, feelings and life.It is demonstrated that the basic views referred to represent greatly abbreviated and distorted pictures of human beings. Theor

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