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Dissertations / Theses on the topic 'Visual attention network'

Author: Grafiati

Published: 7 June 2025

Last updated: 2 August 2025

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1

Popli, Labhesh. "AN ATTENTION BASED DEEP NEURAL NETWORK FOR VISUAL QUESTIONANSWERING SYSTEM." Cleveland State University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=csu1579015180507068.

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2

Saifullah, Mohammad. "Biologically-Based Interactive Neural Network Models for Visual Attention and Object Recognition." Doctoral thesis, Linköpings universitet, Institutionen för datavetenskap, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-79336.

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The main focus of this thesis is to develop biologically-based computational models for object recognition. A series of models for attention and object recognition were developed in the order of increasing functionality and complexity. These models are based on information processing in the primate brain, and specially inspired from the theory of visual information processing along the two parallel processing pathways of the primate visual cortex. To capture the true essence of incremental, constraint satisfaction style processing in the visual system, interactive neural networks were used for

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3

Beuth, Frederik. "Visual attention in primates and for machines - neuronal mechanisms." Universitätsverlag Chemnitz, 2017. https://monarch.qucosa.de/id/qucosa%3A35655.

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Visual attention is an important cognitive concept for the daily life of humans, but still not fully understood. Due to this, it is also rarely utilized in computer vision systems. However, understanding visual attention is challenging as it has many and seemingly-different aspects, both at neuronal and behavioral level. Thus, it is very hard to give a uniform explanation of visual attention that can account for all aspects. To tackle this problem, this thesis has the goal to identify a common set of neuronal mechanisms, which underlie both neuronal and behavioral aspects. The mechanisms are s

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4

Stengel, Chloé. "Frontal contributions to conscious visual perception through causal manipulation of brain rhythms." Thesis, Sorbonne université, 2019. http://www.theses.fr/2019SORUS354.

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Les oscillations corticales sous-tendent une grande variété de fonctions cognitives. Notamment, un rôle causal des oscillations beta-hautes dans le champ oculomoteur frontal (en anglais : FEF) droit pour l’orientation de l’attention et la facilitation de la perception a été solidement démontré. Cependant, pour la même région dans l’hémisphère gauche, il a été récemment suggéré que le bruit neuronal (càd une activité neuronale non prédictible), et non les oscillations, pourrait améliorer le traitement des stimuli sensoriels faibles et leur perception. Nous utilisons la Stimulation Magnétique Tr

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Benwell, Christopher Stephen Yates. "Pseudoneglect and visual attention networks." Thesis, University of Glasgow, 2015. http://theses.gla.ac.uk/7202/.

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Pseudoneglect represents the tendency for healthy individuals to show a slight but consistent bias in favour of stimuli appearing in the left visual field. The bias is often measured using variants of the line bisection task. An accurate model of the functional architecture of the visuospatial attention system must account for this widely observed phenomenon, as well as for modulation of the direction and magnitude of the bias within individuals by a variety of factors relating to the state of the participant and/or stimulus characteristics. To date, the neural correlates of pseudoneglect rema

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Blini, Elvio A. "Biases in Visuo-Spatial Attention: from Assessment to Experimental Induction." Doctoral thesis, Università degli studi di Padova, 2016. http://hdl.handle.net/11577/3424480.

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In this work I present several studies, which might appear rather heterogeneous for both experimental questions and methodological approaches, and yet are linked by a common leitmotiv: spatial attention. I will address issues related to the assessment of attentional asymmetries, in the healthy individual as in patients with neurological disorders, their role in various aspects of human cognition, and their neural underpinning, driven by the deep belief that spatial attention plays an important role in various mental processes that are not necessarily confined to perception. What follows is or

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7

Yogeswaran, Arjun. "Self-Organizing Neural Visual Models to Learn Feature Detectors and Motion Tracking Behaviour by Exposure to Real-World Data." Thesis, Université d'Ottawa / University of Ottawa, 2018. http://hdl.handle.net/10393/37096.

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Advances in unsupervised learning and deep neural networks have led to increased performance in a number of domains, and to the ability to draw strong comparisons between the biological method of self-organization conducted by the brain and computational mechanisms. This thesis aims to use real-world data to tackle two areas in the domain of computer vision which have biological equivalents: feature detection and motion tracking. The aforementioned advances have allowed efficient learning of feature representations directly from large sets of unlabeled data instead of using traditional handcr

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8

Guo, Dalu. "Attention Networks in Visual Question Answering and Visual Dialog." Thesis, The University of Sydney, 2021. https://hdl.handle.net/2123/25079.

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Attention is a substantial mechanism for human to process massive data. It omits the trivial parts and focuses on the important ones. For example, we only need to remember the keywords in a long sentence and the principal objects in an image for rebuilding the sources. Therefore, it is crucial to building an attention network for artificial intelligence to solve the problem as human. This mechanism has been fully explored in the text-based tasks, such as language translation, reading comprehension, and sentimental analysis, as well as the visual-based tasks, such as image recognition, object d

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9

Ma, Xiren. "Deep Learning-Based Vehicle Recognition Schemes for Intelligent Transportation Systems." Thesis, Université d'Ottawa / University of Ottawa, 2021. http://hdl.handle.net/10393/42247.

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With the increasing highlighted security concerns in Intelligent Transportation System (ITS), Vision-based Automated Vehicle Recognition (VAVR) has attracted considerable attention recently. A comprehensive VAVR system contains three components: Vehicle Detection (VD), Vehicle Make and Model Recognition (VMMR), and Vehicle Re-identification (VReID). These components perform coarse-to-fine recognition tasks in three steps. The VAVR system can be widely used in suspicious vehicle recognition, urban traffic monitoring, and automated driving system. Vehicle recognition is complicated due to the su

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10

Braga, Rodrigo. "Evidence for separable networks for auditory and visual attention." Thesis, Imperial College London, 2014. http://hdl.handle.net/10044/1/25118.

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The research reported in this thesis investigated the neural systems involved in auditory attention, and in particular how these may differ from those recruited for visual attention. One current leading theory of attentional control postulates that a single frontoparietal network (the 'dorsal attention network' or DAN) subserves top-down attention to all sensory modalities. However, there is an abundance of published evidence which contradicts this claim (which is discussed herein). This thesis reports the results of three studies. In the first study, I investigated auditory attention whilst c

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11

Lozo, Peter. "Neural theory and model of selective visual attention and 2D shape recognition in visual clutter /." Title page, contents and abstract only, 1996. http://web4.library.adelaide.edu.au/theses/09PH/09phl925.pdf.

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12

Tong, Song. "Informatics Approaches for Understanding Human Facial Attractiveness Perception and Visual Attention." Doctoral thesis, Kyoto University, 2021. http://hdl.handle.net/2433/264679.

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京都大学<br>新制・課程博士<br>博士(情報学)<br>甲第23398号<br>情博第767号<br>新制||情||131(附属図書館)<br>京都大学大学院情報学研究科知能情報学専攻<br>(主査)教授熊田孝恒, 教授西田眞也, 教授齋木潤, 准教授延原章平<br>学位規則第4条第1項該当<br>Doctor of Informatics<br>Kyoto University<br>DFAM

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13

Ungruh, Joachim. "A neurally based vision model for line extraction and attention." Thesis, Georgia Institute of Technology, 1992. http://hdl.handle.net/1853/8303.

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14

Rigo, Gustavo Vrech. "Modelando a atenção seletiva e a saliência visual através de redes complexas." Universidade de São Paulo, 2010. http://www.teses.usp.br/teses/disponiveis/76/76132/tde-27072010-104212/.

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A atenção seletiva é uma característica central do sistema visual humano, uma vez que todo o cérebro é otimizado de modo a perceber as informações ao seu redor da forma mais rápida possível. Porém, em geral os trabalhos nesta área apenas verificam quais são as regiões de maior freqüência da atenção seletiva, dando pouca importância para a sua mecânica. A presente dissertação propõe um modelo que represente a atenção seletiva como uma rede complexa, combinando naturalmente as áreas de redes complexas, cadeias de Markov, análise de imagens, atenção seletiva e saliência visual num modelo biologic

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15

Johnston, Samantha-Kaye Denise. "The Relationship between Visual and Auditory Attention Networks, Phonological Processing and Reading in Typically Developing and Disordered Reading Populations." Thesis, Curtin University, 2018. http://hdl.handle.net/20.500.11937/75054.

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This research examined the interaction between attention and phonology in predicting reading. Auditory orienting attention predicts reading mediated by phonological processing in beginning readers. In fluent readers, mediated and unmediated routes involve visual (orienting and executive) and auditory orienting attention. Visual alerting, visual and auditory orienting, and auditory executive attention predict reading accuracy for disordered readers through mediated and unmediated routes. Thus, reading ability determines reading pathway. Implications for theory and diagnostic approaches are addr

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16

Saifullah, Mohammad. "Exploring Biologically-Inspired Interactive Networks for Object Recognition." Licentiate thesis, Linköpings universitet, Institutionen för datavetenskap, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-64692.

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This thesis deals with biologically-inspired interactive neural networks for the task of object recognition. Such networks offer an interesting alternative approach to traditional image processing techniques. Although the networks are very powerful classification tools, they are difficult to handle due to their bidirectional interactivity. It is one of the main reasons why these networks do not perform the task of generalization to novel objects well. Generalization is a very important property for any object recognition system, as it is impractical for a system to learn all instances of an ob

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17

Ossandon, Valdes Tomas. "A prefrontal-temporal network underlying state changes between Stimulus-Driven and Stimulus-Independent Cognition." Phd thesis, Université Claude Bernard - Lyon I, 2010. http://tel.archives-ouvertes.fr/tel-00726306.

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The brain displays moment-to-moment activity fluctuations that reflect various levels of engagement with the outside world. Processing external stimuli is not only associated with increased brain metabolism but also with prominent deactivation in specific structures, collectively known as the default-mode network (DMN). The role of the DMN remains enigmatic partly because its electrophysiological correlates and temporal dynamics are still poorly understood. Using unprecedented wide-spread depth recordings in epileptic patients, undergoing intracranial EEG during pre-surgical evaluation, we rev

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18

Ibáñez, Soria David 1983. "Analysis of brain dynamics using echo-state networks." Doctoral thesis, Universitat Pompeu Fabra, 2018. http://hdl.handle.net/10803/663491.

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In the last decade recurrent neural networks have revolutionized the field of artificial intelligence. Their cyclic connections provide them with memory and thus with the capability of modeling processes with temporal context. Echo-state networks are a framework for recurrent neural networks that enormously simplifies their design and training. In this thesis we explore the capabilities of echo-state networks and their application in EEG feature extraction and classification problems. In a first study, we proved that such networks are capable of detecting generalized synchronization changes be

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19

Quiles, Marcos Gonçalves. "Redes com dinâmica espaço-temporal e aplicações computacionais." Universidade de São Paulo, 2009. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-27052009-145639/.

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Nas últimas décadas, testemunhou-se um crescente interesse no estudo de sistemas complexos. Tais sistemas são compostos por pelo menos dois componentes fundamentais: elementos dinâmicos individuais e uma estrutura de organização definindo a forma de interação entre estes. Devido a dinâmica de cada elemento e a complexidade de acoplamento, uma grande variedade de fenômenos espaço-temporais podem ser observados. Esta tese tem como objetivo principal explorar o uso da dinâmica espaço-temporal em redes visando a solução de alguns problemas computacionais. Com relação aos mecanismos dinâmicos, a si

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20

Tard, Céline. "Modulation corticale de la locomotion." Thesis, Lille 2, 2015. http://www.theses.fr/2015LIL2S067/document.

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Les patients atteints de maladie de Parkinson présentent des troubles de la marche, parfois paroxystiques, pouvant être aggravés ou améliorés par les stimuli environnementaux. L'attention portée, soit aux stimuli extérieurs, soit à la marche, pourrait ainsi moduler la locomotion.L’objectif principal était donc de mieux caractériser la manière dont les stimuli environnementaux modulent par le biais de réseaux attentionnels la locomotion. Ceci a été étudié chez les sujets sains puis chez les patients parkinsoniens, avec ou sans enrayage cinétique.Nous avons d'abord défini précisément les déficit

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21

Chaabouni, Souad. "Etude et prédiction d'attention visuelle avec les outils d'apprentissage profond en vue d'évaluation des patients atteints des maladies neuro-dégénératives." Thesis, Bordeaux, 2017. http://www.theses.fr/2017BORD0768/document.

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Cette thèse est motivée par le diagnostic et l’évaluation des maladies neuro-dégénératives et dans le but de diagnostique sur la base de l’attention visuelle.Néanmoins, le dépistage à grande échelle de la population n’est possible que si des modèles de prédiction automatique suffisamment robustes peuvent être construits. Dans ce contexte nous nous intéressons `a la conception et le développement des modèles de prédiction automatique pour un contenu visuel spécifique à utiliser dans l’expérience psycho-visuelle impliquant des patients atteints des maladies neuro-dégénératives. La difficulté d’u

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22

Jaume, Bennasar Andrés. "Las nuevas tecnologías en la administración de justicia. La validez y eficacia del documento electrónico en sede procesal." Doctoral thesis, Universitat de les Illes Balears, 2009. http://hdl.handle.net/10803/9415.

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La tesis se encarga de analizar, por un lado, la integración y el desarrollo de las nuevas tecnologías en la Administración de Justicia; y, por otro, los parámetros que constituyen la validez y eficacia del documento electrónico. <br/>La primera cuestión se centra en la configuración de los Sistemas de Información de la Oficina Judicial y del Ministerio Fiscal, así como de la informatización de los Registros Civiles, donde el art. 230 LOPJ es la pieza clave. Se estudian sus programas, aplicaciones, la videoconferencia, los ficheros judiciales y las redes de telecomunicaciones que poseen la cob

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23

(8072891), Pallavi Mishra. "VISUAL CONSTRAINT OPTIMIZATION NETWORK." Thesis, 2019.

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<p>One of the most important aspects of visual perception is inference of 3D shape from a 2D retinal image of the real world. The existence of several valid mapping functions from object to data makes this inverse problem ill-posed and therefore computationally difficult. In human vision, the retinal image is a 2D projection of the 3D real world. The visual system imposes certain constraints on the family of solutions in order to efficiently solve this inverse problem. This project specifically focuses on the aspect of minimization of standard deviation of all 3D angles (MSDA) for 3D perceptio

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24

Cheatwood, Joseph Laton. "Anatomy of a cortical-striatal-thalamic network mediating directed attention in the rat." 2004. http://purl.fcla.edu/fcla/etd/UFE0006421.

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Chen, Hsuan-Ying, and 陳軒盈. "Image/Video Super-Resolution and Fusion Using Visual Attention Model, Artificial Neural Network, and Particle Swarm Optimization." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/14706893808993433668.

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博士<br>國立中正大學<br>資訊工程研究所<br>99<br>Human perception tends to firstly pick attended regions, which correspond to prominent objects in an image. Visual attention region detection simulates the behavior of the human visual system (HVS) and detects regions of interest (ROIs) in the image. Artificial neural network (ANN) is a biologically motivated learning machine, which simulates the structure and behavior of the nervous system. The mathematical model comprises individual processing units called neurons that resemble neural activity. ANN is a powerful tool for dealing with nonlinearities. Particle

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26

Tobyne, Sean Michal. "Network organization of sensory-biased and multi-sensory working memory and attention in human cortex with fMRI." Thesis, 2019. https://hdl.handle.net/2144/36649.

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The ability to attentively filter sensory information and manipulate it in working memory is critical for our ability to interact with the world. Although primary and secondary sensory cortical areas have been well-studied, frontal lobe contributions to sensory attention and working memory remain under-investigated. This dissertation investigates the topography and network organization of sensory-biased and multi-sensory regions in the healthy human brain using functional magnetic resonance imaging (fMRI). First, this research developed a series of functional connectivity analyses of data fr

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ESTOCINOVA, Jana. "Perceptual and Attentional Mechanisms within the Human Lateral Occipital (LO) Region: An rTMS Approach." Doctoral thesis, 2013. http://hdl.handle.net/11562/557149.

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Any natural visual environment contains a huge collection of objects, which impact on our perception and compete for drawing our interest and therefore for being preferentially noticed. By effectively selecting a relevant fraction of the incoming information for further in-depth processing, visual selective attention (VSA) optimizes vision in order to overcome the intrinsically limited computational capacity of the visual system. Single-unit recording studies have demonstrated that multiple stimuli simultaneously impinging onto the receptive field (RF) of a given neuron compete for controlling

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Michalka, Samantha. "Flexible recruitment of cortical networks in visual and auditory attention." Thesis, 2014. https://hdl.handle.net/2144/14395.

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Our senses, while limited, shape our perception of the world and contribute to the functional architecture of the brain. This dissertation investigates the role of sensory modality and task demands in the cortical organization of healthy human adults using functional magnetic resonance imaging (fMRI). This research provides evidence for sensory modality bias in frontal cortical regions by directly contrasting auditory and visual sustained attention. This contrast revealed two distinct visual-biased regions in lateral frontal cortex - superior and inferior precentral sulcus (sPCS, iPCS) -

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29

Bruce, Neil D. B. "Saliency, attention and visual search : an information theoretic approach /." 2008. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&res_dat=xri:pqdiss&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&rft_dat=xri:pqdiss:NR45988.

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Thesis (Ph.D.)--York University, 2008.. Graduate Programme in Computer Science and Engineering.<br>Typescript. Includes bibliographical references (leaves 267-287). Also available on the Internet. MODE OF ACCESS via web browser by entering the following URL: http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&res_dat=xri:pqdiss&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&rft_dat=xri:pqdiss:NR45988

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Lozo, Peter. "Neural theory and model of selective visual attention and 2D shape recognition in visual clutter / by Peter Lozo." Thesis, 1996. http://hdl.handle.net/2440/18925.

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Bibliography: leaves 328-352.<br>xxxi, 352 leaves : ill. ; 30 cm.<br>This thesis proposes a neural theory, Selective Attention Adaptive Resonance Theory, and a neuro-engineered solution to selective visual attention, memory guided processing and illumination invariant recognition of complete (unoccluded), but distorted 2D shapes of 3D objects in cluttered visual images.<br>Thesis (Ph.D.)--University of Adelaide, Dept. of Electrical and Electronic Engineering, 1997?

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Chong, Eric Wai-Shing. "Neural framework for visual scene analysis with selective attention / by Eric Wai-Shing Chong." Thesis, 2001. http://hdl.handle.net/2440/20300.

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Includes bibliographical references (leaves 225-241).<br>xxviii, 241 leaves : ill. ; 30 cm.<br>Proposes an architectural framework based on neural networks for visual scene analysis with attentional mechanisms.<br>Thesis (Ph.D.)--Adelaide University, Dept. of Electrical and Electronic Engineering, 2001

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Chong, Eric Wai-Shing. "Neural framework for visual scene analysis with selective attention / by Eric Wai-Shing Chong." 2001. http://hdl.handle.net/2440/20300.

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Includes bibliographical references (leaves 225-241).<br>xxviii, 241 leaves : ill. ; 30 cm.<br>Title page, contents and abstract only. The complete thesis in print form is available from the University Library.<br>Proposes an architectural framework based on neural networks for visual scene analysis with attentional mechanisms.<br>Thesis (Ph.D.)--Adelaide University, Dept. of Electrical and Electronic Engineering, 2001

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Hüer, Janina. "Top-down attention: neural pathways in the human and non-human primate examined by electrophysiology, optogenetics and psychophysics." Doctoral thesis, 2018. http://hdl.handle.net/11858/00-1735-0000-002E-E581-8.

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Zeng, Tan-Wei, and 曾坦薇. "Employing peripheral precue, discrimination precision and attentional network test to investigate the visual performance field." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/m9vq95.

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碩士<br>國立東華大學<br>諮商與臨床心理學系<br>102<br>Visual performance field is inhomogeneous due to visual limitation. Previous studies indicated two important features: horizontal vertical anisotropy (HVA) and vertical meridian asymmetry (VMA) ( Rovamo & Virsu, 1979). In the present study, we aim to examine whether the HVA and VMA exist on the visual performance field, and further investigate how various visual factors affect these two features. In Experiment 1, we examine the HVA and VMA for precision and precue types by depicting the radial map and calculating the HVA and VMA ratio. The results show that

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Pereira, João Paulo Dinis. "A relação entre motion graphics e atenção visual em vídeo: um estudo de caso." Master's thesis, 2018. http://hdl.handle.net/1822/58648.

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Relatório de estágio de mestrado em Ciências da Comunicação (área de especialização em Audiovisual e Multimédia)<br>Os novos média, nomeadamente as redes sociais, resultado do advento e evolução da web 2.0, são hoje um local de autopromoção e de disseminação de anúncios e conceitos publicitários. Nesta medida, servindo como ferramenta para quem cria e para quem se quer prevenir, é importante perceber a forma como o(a) espectador(a) direciona a sua atenção quando assiste a mensagens difundidas no formato vídeo e o impacto que os elementos de motion graphics podem ter nessa direção. Durante a re

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Layton, Oliver W. "Neural models of inter-cortical networks in the primate visual system for navigation, attention, path perception, and static and kinetic figure-ground perception." Thesis, 2013. https://hdl.handle.net/2144/15224.

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Vision provides the primary means by which many animals distinguish foreground objects from their background and coordinate locomotion through complex environments. The present thesis focuses on mechanisms within the visual system that afford figure-ground segregation and self-motion perception. These processes are modeled as emergent outcomes of dynamical interactions among neural populations in several brain areas. This dissertation specifies and simulates how border-ownership signals emerge in cortex, and how the medial superior temporal area (MSTd) represents path of travel and heading, in

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