Academic literature on the topic 'Visual perceptual learning'

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Journal articles on the topic "Visual perceptual learning"

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Lu, Zhong-Lin, Tianmiao Hua, Chang-Bing Huang, Yifeng Zhou, and Barbara Anne Dosher. "Visual perceptual learning." Neurobiology of Learning and Memory 95, no. 2 (2011): 145–51. http://dx.doi.org/10.1016/j.nlm.2010.09.010.

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Dosher, Barbara, and Zhong-Lin Lu. "Visual Perceptual Learning and Models." Annual Review of Vision Science 3, no. 1 (2017): 343–63. http://dx.doi.org/10.1146/annurev-vision-102016-061249.

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Bang, J. W., S. Sato, T. Watanabe, and Y. Sasaki. "Reconsolidation in visual perceptual learning." Journal of Vision 13, no. 9 (2013): 910. http://dx.doi.org/10.1167/13.9.910.

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Sowden, Paul T. "Expert perceivers and perceptual learning." Behavioral and Brain Sciences 22, no. 3 (1999): 396–97. http://dx.doi.org/10.1017/s0140525x99552023.

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Expert perceivers may learn more than just where to apply visual processing, or which part of the output from the visual system to attend to. Their early visual system may be modified, as a result of their specific needs, through a process of early visual learning. We argue that this is, in effect, a form of long-term, indirect cognitive penetration of early vision.
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Erbes, Sabine, and Georg Michelson. "Stereoscopic Visual Perceptual Learning in Seniors." Geriatrics 6, no. 3 (2021): 94. http://dx.doi.org/10.3390/geriatrics6030094.

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Background: We showed that seniors can improve their stereoscopic ability (stereoacuity) and corresponding reaction time with repetitive training and, furthermore, that these improvements through training are still present even after a longer period of time without training. Methods: Eleven seniors (average age: 85.90 years) trained twice a week for six weeks with dynamic stereoscopic perception training using a vision training apparatus (c-Digital Vision Trainer®). Stereoscopic training was performed in 12 training session (n = 3072) of visual tasks. The task was to identify and select one of
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Hock, Howard S., Elizabeth Webb, and L. Clayton Cavedo. "Perceptual learning in visual category acquisition." Memory & Cognition 15, no. 6 (1987): 544–56. http://dx.doi.org/10.3758/bf03198389.

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Lobley, Katy, and Vincent Walsh. "Perceptual Learning in Visual Conjunction Search." Perception 27, no. 10 (1998): 1245–55. http://dx.doi.org/10.1068/p271245.

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Perceptual learning in colour/orientation visual conjunction search was examined in five experiments. Good transfer occurred to other conjunction arrays when only one element of the conjunction (either colour or orientation) was changed. When both elements (colour and orientation) were changed, but the same feature spaces were used (ie other colours and orientations) or when a new dimension was introduced to the transfer task (shapes instead of orientation), transfer was poor. The results suggest that perceptual learning of visual conjunction search is constrained mainly by stimulus parameters
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Kumano, Hironori, and Takanori Uka. "Neuronal mechanisms of visual perceptual learning." Behavioural Brain Research 249 (July 2013): 75–80. http://dx.doi.org/10.1016/j.bbr.2013.04.034.

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Denison, R., M. Schram, J. Sheynin, and M. Silver. "Visual statistical learning guides perceptual selection." Journal of Vision 13, no. 9 (2013): 1102. http://dx.doi.org/10.1167/13.9.1102.

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Tlapale, E., B. Dosher, and Z. L. Lu. "Modeling perceptual learning of visual motion." Journal of Vision 13, no. 9 (2013): 248. http://dx.doi.org/10.1167/13.9.248.

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Dissertations / Theses on the topic "Visual perceptual learning"

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Tang-Wright, Kimmy. "Visual topography and perceptual learning in the primate visual system." Thesis, University of Oxford, 2016. https://ora.ox.ac.uk/objects/uuid:388b9658-dceb-443a-a19b-c960af162819.

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The primate visual system is organised and wired in a topological manner. From the eye well into extrastriate visual cortex, a preserved spatial representation of the vi- sual world is maintained across many levels of processing. Diffusion-weighted imaging (DWI), together with probabilistic tractography, is a non-invasive technique for map- ping connectivity within the brain. In this thesis I probed the sensitivity and accuracy of DWI and probabilistic tractography by quantifying its capacity to detect topolog- ical connectivity in the post mortem macaque brain, between the lateral geniculate
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Nagel, Karin Lynne. "Training visual pattern recognition : using worked examples to aid schema acquisition." Thesis, Georgia Institute of Technology, 1993. http://hdl.handle.net/1853/28851.

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Sulman, Noah. "The influence of valenced images on perceptual learning." [Tampa, Fla] : University of South Florida, 2008. http://purl.fcla.edu/usf/dc/et/SFE0002381.

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Lavis, Yvonna Marie Psychology Faculty of Science UNSW. "An investigation of the mechanisms responsible for perceptual learning in humans." Publisher:University of New South Wales. Psychology, 2008. http://handle.unsw.edu.au/1959.4/42882.

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Discrimination between similar stimuli is enhanced more by intermixed pre-exposure than by blocked pre-exposure to those stimuli. The salience modulation account of this intermixed-blocked effect proposes that the unique elements of intermixed stimuli are more salient than those of blocked stimuli. The inhibition account proposes that inhibitory links between the unique elements of intermixed stimuli enhance discrimination. The current thesis evaluated the two accounts in their ability to explain this effect in humans. In Experiments 1 and 2, categorisation and same-different judgements were m
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Schlagbauer, Bernhard [Verfasser], and Thomas [Akademischer Betreuer] Geyer. "Dynamics of perceptual learning in visual search / Bernhard Schlagbauer ; Betreuer: Thomas Geyer." München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2017. http://d-nb.info/112859403X/34.

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Bonaccorsi, Joyce. "Enriched experience, visual cortex plasticity and recovery from amblyopia in adult rats: effects on visual perceptual learning." Doctoral thesis, Scuola Normale Superiore, 2013. http://hdl.handle.net/11384/85965.

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McDermott, Kyle C. "Visual search and eye movements in novel and familiar contexts." abstract and full text PDF (free order & download UNR users only), 2008. http://0-gateway.proquest.com.innopac.library.unr.edu/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:1453596.

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Van, Horn Nicholas M. "Perceptual Learning And Visual Short-Term Memory: The Limitations And Mechanisms Of Interacting Processes." The Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1408731180.

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Kim, Dongho. "Roles of reward, memory, and cognitive control on visual perceptual learning and decision-making." Thesis, Boston University, 2013. https://hdl.handle.net/2144/12793.

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Thesis (Ph.D.)--Boston University PLEASE NOTE: Boston University Libraries did not receive an Authorization To Manage form for this thesis or dissertation. It is therefore not openly accessible, though it may be available by request. If you are the author or principal advisor of this work and would like to request open access for it, please contact us at open-help@bu.edu. Thank you.<br>A prevailing hypothesis of visual perceptual learning (VPL) is that for a feature to be learned, focused attention must be directed to that feature. Along these lines, top-down, task-related factors are also re
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Lie, Kin-pou, and 李健豹. "The hierarchical nature of acquisition of visual specificity in spatial contextual cueing." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2009. http://hub.hku.hk/bib/B43223965.

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Books on the topic "Visual perceptual learning"

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Manfred, Fahle, and Poggio Tomaso, eds. Perceptual learning. MIT Press, 2002.

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Visual perceptual skill building. Critical Thinking Books & Software, 1998.

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Perceptual organization and visual recognition. Kluwer Academic Publishers, 1985.

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Linde, Lucille M. J. Motor-perceptual training and visual-perceptual research: How students improved in seven lessons! L.M.J. Linde, 1992.

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Alan, Slater, ed. Perceptual development: Visual, auditory, and speech perception in infancy. Psychology Press, 1998.

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Eugene, Chekaluk, and Llewellyn Keith, eds. The Role of eye movements in perceptual processes. North-Holland, 1992.

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Barsch, Ray H. Fine tuning: An auditory-visual training program. Academic Therapy Publicatons, 1995.

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L, Gregory R., ed. The artful eye. Oxford University Press, 1995.

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Darras, Bernard. Au commencement était l'image: Du dessin de l'enfant à la communication de l'adulte. E.S.F., 1996.

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Teaching writing to visual, auditory, and kinesthetic learners. Corwin Press, 2006.

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Book chapters on the topic "Visual perceptual learning"

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Lu, Zhong-Lin, and Barbara Anne Dosher. "Visual Perceptual Learning." In Encyclopedia of the Sciences of Learning. Springer US, 2012. http://dx.doi.org/10.1007/978-1-4419-1428-6_258.

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Sasaki, Yuka, and Takeo Watanabe. "Visual Perceptual Learning and Sleep." In Clinical Systems Neuroscience. Springer Japan, 2014. http://dx.doi.org/10.1007/978-4-431-55037-2_19.

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De Weerd, Peter, Raphael Pinaud, and Giuseppe Bertini. "Plasticity in V1 Induced by Perceptual Learning." In Plasticity in the Visual System. Springer US, 2006. http://dx.doi.org/10.1007/0-387-28190-8_12.

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Wang, Xiaochun, Xiali Wang, and Don Mitchell Wilkes. "An Incremental EM Algorithm Based Visual Perceptual Grouping." In Machine Learning-based Natural Scene Recognition for Mobile Robot Localization in An Unknown Environment. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-9217-7_12.

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Qiu, Waishan, Wenjing Li, Xun Liu, and Xiaokai Huang. "Subjectively Measured Streetscape Qualities for Shanghai with Large-Scale Application of Computer Vision and Machine Learning." In Proceedings of the 2021 DigitalFUTURES. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-5983-6_23.

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AbstractRecently, many new studies emerged to apply computer vision (CV) to street view imagery (SVI) dataset to objectively extract the view indices of various streetscape features such as trees to proxy urban scene qualities. However, human perceptions (e.g., imageability) have a subtle relationship to visual elements which cannot be fully captured using view indices. Conversely, subjective measures using survey and interview data explain more human behaviors. However, the effectiveness of integrating subjective measures with SVI dataset has been less discussed. To address this, we integrated crowdsourcing, CV, and machine learning (ML) to subjectively measure four important perceptions suggested by classical urban design theory. We first collected experts’ rating on sample SVIs regarding the four qualities which became the training labels. CV segmentation was applied to SVI samples extracting streetscape view indices as the explanatory variables. We then trained ML models and achieved high accuracy in predicting the scores. We found a strong correlation between predicted complexity score and the density of urban amenities and services Point of Interests (POI), which validates the effectiveness of subjective measures. In addition, to test the generalizability of the proposed framework as well as to inform urban renewal strategies, we compared the measured qualities in Pudong to other five renowned urban cores worldwide. Rather than predicting perceptual scores directly from generic image features using convolution neural network, our approach follows what urban design theory suggested and confirms various streetscape features affecting multi-dimensional human perceptions. Therefore, its result provides more interpretable and actionable implications for policymakers and city planners.
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Suwa, Masaki, and Hiroshi Motoda. "A perceptual criterion for visually controlling learning." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/3-540-57370-4_60.

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"Plasticity of Low-Level Visual Networks." In Perceptual Learning. The MIT Press, 2002. http://dx.doi.org/10.7551/mitpress/5295.003.0013.

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"High-Level Learning of Early Visual Tasks." In Perceptual Learning. The MIT Press, 2002. http://dx.doi.org/10.7551/mitpress/5295.003.0019.

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"Adaptation and Learning in the Visual Perception of Gratings." In Perceptual Learning. The MIT Press, 2002. http://dx.doi.org/10.7551/mitpress/5295.003.0012.

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"The Role of Attention in Learning Simple Visual Tasks." In Perceptual Learning. The MIT Press, 2002. http://dx.doi.org/10.7551/mitpress/5295.003.0018.

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Conference papers on the topic "Visual perceptual learning"

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BERARDI, NICOLETTA, and ADRIANA FIORENTINI. "VISUAL PERCEPTUAL LEARNING." In Proceedings of the International School of Biophysics. WORLD SCIENTIFIC, 2001. http://dx.doi.org/10.1142/9789812799975_0034.

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Balas, Benjamin, and Lisa Oakes. "Modeling infant visual preference as perceptual oscillation." In 2015 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob). IEEE, 2015. http://dx.doi.org/10.1109/devlrn.2015.7345451.

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Churchland, Paul M. "Conceptual and neuronal plasticity in visual processing." In OSA Annual Meeting. Optica Publishing Group, 1988. http://dx.doi.org/10.1364/oam.1988.tud2.

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The substantial dependents of perceptual processing on one’s prior conceptual set is by now a familiar theme. I here explore the possibility of radical changes in the character and content of one’s perceptual processing, changes occasioned by radical changes in one’s background conceptual framework. Recent research into learning, categorization, and perception in artificial and neural nets provides new ground for this exploration and new insights into the nature of both conceptual and perceptual plasticity in living creatures.
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Wenger, Michael, Rebecca Von Der Heide, Jennifer Bittner, and Brianna Sullivan. "Modeling Inner and Outer Psychophysics: An Application to Visual Perceptual Learning." In 2006 IEEE/NLM Life Science Systems and Applications Workshop. IEEE, 2006. http://dx.doi.org/10.1109/lssa.2006.250380.

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Eng, Katelyn, Beverly Hannah, Keith Leung, and Yue Wang. "Effects of auditory, visual and gestural input on the perceptual learning of tones." In 7th International Conference on Speech Prosody 2014. ISCA, 2014. http://dx.doi.org/10.21437/speechprosody.2014-169.

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Gonçalves, Luan A., Ronaldo F. Zampolo, and Fabrício B. Barros. "A multi-stream dense network with different receptive fields to assess visual quality." In VII Symposium on Knowledge Discovery, Mining and Learning. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/kdmile.2019.8790.

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The prediction of visual quality is crucial in image and video systems. Image quality metrics based on the mean square error prevail in the field, due to their mathematical straightforwardness, even though they do not correlate well with the visual human perception. Latest achievements in the area support that the use of convolutional neural networks (CNN) to assess perceptual visual quality is a clear trend. Results in other applications, like blur detection and de-raining, indicate the combination of different receptive fields (i.e., convolutional kernels with different dimensions) improves
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Meng, Shengbin, Yang Li, Yiting Liao, Junlin Li, and Shiqi Wang. "Learning to encode user-generated short videos with lower bitrate and the same perceptual quality." In 2020 IEEE International Conference on Visual Communications and Image Processing (VCIP). IEEE, 2020. http://dx.doi.org/10.1109/vcip49819.2020.9301835.

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Brlek, Eva, Lovorka Gotal Dmitrović, and Marin Milković. "PERCEPTUAL ATTRIBUTES OF VISUAL STIMULI AS A SIGNIFICANT INDICATOR IN THE COMMUNICATION PROCESS IN CHILDREN WITH HYPERACTIVE DISORDER." In 13th International Conference on Education and New Learning Technologies. IATED, 2021. http://dx.doi.org/10.21125/edulearn.2021.0104.

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Kordigel Aberšek, Metka. "WRITING VERSUS TYPING IN THE BIOLOGY CLASSROOM: A CASE STUDY IN SLOVENIA." In Proceedings of the 2nd International Baltic Symposium on Science and Technology Education (BalticSTE2017). Scientia Socialis Ltd., 2017. http://dx.doi.org/10.33225/balticste/2017.65.

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The act of writing is a complex cognitive process, relying on perceptual sensorimotor combinations (Mangen et. all, 2015). Writing is the process of externalizing the content of our thinking, what we know, what we think, what we feel … Writing always involves the skilful handling of mechanical/technical devices, and necessarily results in a visuographic representation: some kind of readable text in a form of letters or symbols (Mangen, Velay, 2010). The neuroscientific research points out writing is a process that requires the integration of visual, proprioceptive (haptics/kinaesthetic) and ta
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Corlaci, Ionut, and Mihaela Puiu. "THE WAYS FOR IMPROVING THE USE OF VISUAL FEEDBACK BY E-PROGRAMMES IN MEN'S ARTISTIC GYMNASTICS." In eLSE 2016. Carol I National Defence University Publishing House, 2016. http://dx.doi.org/10.12753/2066-026x-16-225.

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An important element for improving technical performances in sport is the access of coaches and athletes to objective information regarding the form and content of specific movements. In artistic gymnastics, the organisation and regulation of motor behaviour, necessary to improve the perceptual motor skills, are based mainly on proprioceptive information. Hypothesis: We want to highlight through this research the fact that by using visual feedback we can shorten or improve time for learning elements, combinations of elements, but also create attractive exercises in high performance training. H
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