Academic literature on the topic 'Visual area'
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Journal articles on the topic "Visual area"
Newsome, William T., John H. R. Maunsell, and David C. van Essen. "Ventral posterior visual area of the macaque: Visual topography and areal boundaries." Journal of Comparative Neurology 252, no. 2 (October 8, 1986): 139–53. http://dx.doi.org/10.1002/cne.902520202.
Full textPapatheodorou, Sotiris, Anthony Tzes, and Yiannis Stergiopoulos. "Collaborative visual area coverage." Robotics and Autonomous Systems 92 (June 2017): 126–38. http://dx.doi.org/10.1016/j.robot.2017.03.005.
Full textWadlow, Maria G. "Special Interest Areas: VISUAL INTERACTION DESIGN SPECIAL INTEREST AREA." ACM SIGCHI Bulletin 25, no. 1 (January 1993): 52–53. http://dx.doi.org/10.1145/157203.1048703.
Full textKaas, Jon H., and Leah A. Krubitzer. "Area 17 lesions deactivate area MT in owl monkeys." Visual Neuroscience 9, no. 3-4 (October 1992): 399–407. http://dx.doi.org/10.1017/s0952523800010804.
Full textCohen, Laurent, Stanislas Dehaene, Lionel Naccache, Stéphane Lehéricy, Ghislaine Dehaene-Lambertz, Marie-Anne Hénaff, and François Michel. "The visual word form area." Brain 123, no. 2 (February 2000): 291–307. http://dx.doi.org/10.1093/brain/123.2.291.
Full textKienitz, Ricardo, Kleopatra Kouroupaki, and Michael C. Schmid. "Microstimulation of visual area V4 improves visual stimulus detection." Cell Reports 40, no. 12 (September 2022): 111392. http://dx.doi.org/10.1016/j.celrep.2022.111392.
Full textMasafumi, Tanaka, and Creutzfeldt Otto Detlev. "Visual properties of neurons in the prelunate visual area." Neuroscience Research Supplements 7 (January 1988): S210. http://dx.doi.org/10.1016/0921-8696(88)90428-8.
Full textGalletti, Claudio, Patrizia Fattori, Michela Gamberini, and Dieter F. Kutz. "The cortical visual area V6: brain location and visual topography." European Journal of Neuroscience 11, no. 11 (November 1999): 3922–36. http://dx.doi.org/10.1046/j.1460-9568.1999.00817.x.
Full textRockland, Kathleen S. "Visual System: Prostriata — A Visual Area Off the Beaten Path." Current Biology 22, no. 14 (July 2012): R571—R573. http://dx.doi.org/10.1016/j.cub.2012.05.030.
Full textSawa, Fumi. "Visual Area Networking by OpenGL Vizserver." Journal of the Visualization Society of Japan 22, no. 1Supplement (2002): 177–78. http://dx.doi.org/10.3154/jvs.22.1supplement_177.
Full textDissertations / Theses on the topic "Visual area"
Hudson, Andrew E. "Attentional modulation in primate visual area V4 /." Access full-text from WCMC:, 2007. http://proquest.umi.com/pqdweb?did=1296098321&sid=10&Fmt=2&clientId=8424&RQT=309&VName=PQD.
Full textCadieu, Charles Fredrick. "Modeling shape representation in visual cortex area V4." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/30367.
Full textThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Includes bibliographical references (p. 85-89).
Visual processing in biological systems is classically described as a hierarchy of increasingly sophisticated representations, originating in primary visual cortex (V1), progressing through intermediate area V4, and ascending to inferotemporal cortex. The computational mechanisms that produce representations in intermediate area V4 have remained a mystery. In this thesis I show that the standard model, a quantitative model which extends the classical description of visual processing, provides a computational mechanism capable of reproducing and predicting the responses of neurons in area V4 with a translation invariant combination of V1 responses. Using techniques I have developed, model neurons accurately predict the responses of 8 V4 neurons to within-class stimuli, such as closed contours and gratings, and achieve an average correlation coefficient of 0.77 between predicted responses and measured V4 responses. Furthermore, model neurons fit to a V4 neuron's grating stimulus response, can qualitatively predict the V4 neuron's 2-spot reverse correlation map. These results successfully demonstrate the first attempt to bridge V1 and V4 experimental data, by describing how representation in V4 could emerge from the nonlinear combination of V1 neural responses.
by Charles Fredrick Cadieu.
M.Eng.
Mansouri, Sina Sharif. "On Visual Area Coverage Using Micro Aerial Vehicles." Licentiate thesis, Luleå tekniska universitet, Signaler och system, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-68666.
Full textDuncan, Hazel Annette. "Beyond shadowplay : the body and the visual." Monash University, Centre for Comparative Literature and Cultural Studies, 2004. http://arrow.monash.edu.au/hdl/1959.1/5216.
Full textKing, Li-Wei. "Selectivity and development of the visual word form area." Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/79184.
Full textCataloged from PDF version of thesis. "February 2013."
Includes bibliographical references (p. 95-113).
An area of left occipitotemporal cortex commonly referred to as the visual word form area (VWFA), has consistently been shown to activate during the processing of written language. However, the exact nature of the region's selectivity is still under debate. In this thesis, I explore the selectivity of the visual word form area at three different levels. First, I examine whether the VWFA differentiates between letter strings of different lexicality and pronounceability and argue that the VWFA's selectivity is greatly influenced by attention. Second, I explore the developmental course of mirror discrimination in the VWFA, and show that children do not display adult-like mirror discrimination of letters even into early adolescence. Finally, I look at the developmental course of VWFA selectivity for words compared to nonlinguistic visual stimuli. While children have adult-like activation patterns when words are compared to a low-level visual control, they show less specialization compared to adults when objects are used as a control.
by Li-Wei King.
Ph.D.
Chen, Zhuling M. Eng Massachusetts Institute of Technology. "Production system improvement : floor area reduction and visual management." Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/78157.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (p. 69-70).
This thesis suggests on the development process of a new layout design and visual management tools to improve the efficiency of a production line in a medical device company. Lean production philosophy and common lean techniques were adopted as a guideline in this project. A new layout design was proposed to utilize less manufacturing space while maintaining or improving the current production rate. A thorough study of the current system was conducted and preliminary analysis on the current system efficiency was evaluated. Design concepts were generated based on major reduction opportunities, namely removal of non-production areas on the floor, a point of use inventory system, consolidation of equipment and benches, new bench configuration. The final layout design reduced 479 ft 2 from the original layout with the same production rate. Visual management tools were developed after identifying key performance indicators for the production line. The visual management tools presented important data in a comprehensive way, facilitated communication among the production team and management team and empowered production associates in making continuous improvement on the floor. Key Words: Lean Manufacturing, Floor Area Reduction, Visual Management, Key Performance Indicators, System Efficiency
by Zhuling Chen.
M.Eng.in Manufacturing
Zaharia, Andrew D. "Neural computation of visual motion in macaque area MT." Thesis, New York University, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10192285.
Full textHow does the visual system determine the direction and speed of moving objects? In the primate brain, visual motion is processed at several stages. Neurons in primary visual cortex (V1), filter incoming signals to extract the motion of oriented edges at a fine spatial scale. V1 neurons send these measurements to the extrastriate visual area MT, where neurons are selective for direction and speed in a manner that is invariant to simple or complex patterns. Previous theoretical work proposed that MT neurons achieve selectivity to pattern motion by combining V1 inputs consistent with a common velocity. Here, we performed two sets of experiments to test this hypothesis. In the first experiment, we recorded single-unit V1 and MT responses to drifting sinusoidal gratings and plaids (two gratings superimposed). These stimuli either had jointly varying direction and drift rate (consistent with a constant velocity) or independently varying direction and drift rate. In the second experiment, we presented arbitrary, randomly chosen combinations of gratings in rapid succession, to sample as widely as possible the space of stimuli that could excite or suppress neural responses. Responses to single gratings alone were insufficient to uniquely identify the organization of MT selectivity. To account for MT responses to both simple and compound stimuli, we developed new versions of an existing cascaded linear-nonlinear model in which each MT neuron pools inputs from V1. We fit these models to our data. By comparing the performance of the different model variants and examining their parameters that best accounted for the data, we showed that MT responses are best described when selectivity is organized along a common velocity. This confirms previous predictions that MT neurons are selective for the arbitrary motion of objects, independent of object shape or texture. We explore new model variants of MT computation that capture this behavior. These studies show that in order to characterize sensory computation, stimuli must be complex enough to engage the nonlinear aspects of neural selectivity. By exploring different linear-nonlinear model architectures, we identified the essential components of MT computation. Together, these provide an effective framework for characterizing changes in selectivity between connected sensory areas. Supplementary materials: figures 3.4(a-e), 3.10(a-e), and 3.14(a-e) are rendered as movies.
Downes, Sarah. "Reading Jean Rhys : empire, modernism and the politics of the visual." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2014. http://hdl.handle.net/10722/206736.
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English
Doctoral
Doctor of Philosophy
Crook, J. M. "A neurophysiological investigation of the feline extrastriate visual cortex (area 18) using oriented and textured stimuli : A comparison with area 17." Thesis, Keele University, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.379422.
Full textBiro, Dora. "The role of visual landmarks in the homing pigeon's familiar area map." Thesis, University of Oxford, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.249515.
Full textBooks on the topic "Visual area"
Lydia, Matthews, ed. Site to sight : mapping Bay Area visual culture. San Francisco: [s.n.], 1995.
Find full textLydia, Matthews, and California College of Arts and Crafts (Oakland, Calif.), eds. Site to sight: Mapping Bay Area visual culture. San Francisco: [California College of Arts and Crafts], 1995.
Find full textgroup), E. Area (Art, P.S.1 Contemporary Art Center., and Art Basel Miami Beach (7th : 2008), eds. Resonance: Federico Díaz, E Area : visual activism, installations, architecture. Milano: Charta, 2008.
Find full textLimited, Price Waterhouse, and Ecologistics Limited, eds. Visual impact study: Innisfil Landfill Site service area amendment application. Waterloo, ON: Ecologistics, 1991.
Find full textKate, Gregory, ed. Building Internet applications with Visual C++. Indianapolis, IN: Que, 1995.
Find full textGotham turnstiles: A visual depiction of rapid transit in the New York metropolitan area from 1958-1968. Flushing, NY: H&M Productions, 1992.
Find full textGray, Colette. Visual impairment in the early years child: An evaluation of training provision in the Southern Board Area. Belfast: Stranmillis Press, 2004.
Find full textKate, Gregory, ed. Building Internet applications with Visual C[plus plus] ... Kate Gregory ... [et al.]. Indianapolis: Que, 1995.
Find full textCappellini, Vito, ed. Electronic Imaging & the Visual Arts. EVA 2019 Florence. Florence: Firenze University Press, 2019. http://dx.doi.org/10.36253/978-88-6453-869-3.
Full textCappellini, Vito, ed. Electronic Imaging & the Visual Arts. EVA 2017 Florence. Florence: Firenze University Press, 2017. http://dx.doi.org/10.36253/978-88-6453-502-9.
Full textBook chapters on the topic "Visual area"
Noggle, Chad A. "Visual Area." In Encyclopedia of Child Behavior and Development, 1545–46. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-0-387-79061-9_3031.
Full textCohen, Ronald A. "Dorsomedial Visual Area." In Encyclopedia of Clinical Neuropsychology, 892. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-0-387-79948-3_1359.
Full textCohen, Ronald. "Dorsomedial Visual Area." In Encyclopedia of Clinical Neuropsychology, 1. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56782-2_1359-2.
Full textCohen, Ronald A. "Dorsomedial Visual Area." In Encyclopedia of Clinical Neuropsychology, 1220. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-57111-9_1359.
Full textSlotnick, Scott. "The Visual Word Form Area." In Controversies in Cognitive Neuroscience, 122–43. London: Macmillan Education UK, 2013. http://dx.doi.org/10.1007/978-1-137-27236-2_6.
Full textMohr, Daniel, and Gabriel Zachmann. "Segmentation-Free, Area-Based Articulated Object Tracking." In Advances in Visual Computing, 112–23. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24028-7_11.
Full textSong, Bi, Ricky J. Sethi, and Amit K. Roy-Chowdhury. "Wide Area Tracking in Single and Multiple Views." In Visual Analysis of Humans, 91–107. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-997-0_6.
Full textWiddel, Heino. "A Method of Measuring the Visual Lobe Area." In Eye Movements and Psychological Functions, 73–83. London: Routledge, 2021. http://dx.doi.org/10.4324/9781003165538-8.
Full textHa, JeongMok, JeaYoung Jeon, GiYeong Bae, SungYong Jo, and Hong Jeong. "Cost Aggregation Table: Cost Aggregation Method Using Summed Area Table Scheme for Dense Stereo Correspondence." In Advances in Visual Computing, 815–26. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-14249-4_78.
Full textAiraksinenni, P. Juhani, P. A. Juvala, A. Tuulonen, H. I. Alanko, R. Valkonen, and A. Tuohino. "Visual field and neuroretinal rim area changes with time." In Seventh International Visual Field Symposium, Amsterdam, September 1986, 287–91. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3325-5_37.
Full textConference papers on the topic "Visual area"
"Area chairs." In 2016 Visual Communications and Image Processing (VCIP). IEEE, 2016. http://dx.doi.org/10.1109/vcip.2016.7805418.
Full text"Area Chairs." In 2007 IEEE Symposium on Visual Analytics Science and Technology. IEEE, 2007. http://dx.doi.org/10.1109/vast.2007.4388987.
Full textnajeeb, dina, and Ani Nahapetian. "2C Vision Game: Visual Acuity Self-Testing Using Mobile Devices." In 9th International Conference on Body Area Networks. ICST, 2014. http://dx.doi.org/10.4108/icst.bodynets.2014.258235.
Full textLin, Chun-Hung, and Ja-Ling Wu. "Fast motion estimation algorithm with adjustable search area." In Visual Communications and Image Processing '95, edited by Lance T. Wu. SPIE, 1995. http://dx.doi.org/10.1117/12.206667.
Full textBielecka, Malgorzata. "Visual culture – an area of educational research." In 2nd International Conference of Art, Illustration and Visual Culture in Infant and Primary Education. São Paulo: Editora Edgard Blücher, 2012. http://dx.doi.org/10.5151/edupro-aivcipe-39.
Full textKarasev, P. A., M. M. Serrano, P. A. Vela, and A. Tannenbaum. "Visual closed-loop tracking with area stabilization." In 2010 American Control Conference (ACC 2010). IEEE, 2010. http://dx.doi.org/10.1109/acc.2010.5531326.
Full textKosara, Robert. "Evidence for Area as the Primary Visual Cue in Pie Charts." In 2019 IEEE Visualization Conference (VIS). IEEE, 2019. http://dx.doi.org/10.1109/visual.2019.8933547.
Full textGan, Jiangbin, and Thorsten Thormählen. "Photometric Stereo with Area Lights for Lambertian Surfaces." In CVMP '21: European Conference on Visual Media Production. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3485441.3485651.
Full textGardiner, M. J. "Area-based vectorisation for cartoon image coding." In IEE International Conference on Visual Information Engineering (VIE 2005). IEE, 2005. http://dx.doi.org/10.1049/cp:20050107.
Full textYan, Tian-yi, Feng-zhe Jin, and Jing-long Wu. "Visual field representation and location of visual area V1 in human visual cortex by functional MRI." In 2009 ICME International Conference on Complex Medical Engineering - CME 2009. IEEE, 2009. http://dx.doi.org/10.1109/iccme.2009.4906645.
Full textReports on the topic "Visual area"
Scinto, Leonard F. Research in the Area of Visual Search. Fort Belvoir, VA: Defense Technical Information Center, June 1986. http://dx.doi.org/10.21236/ada168923.
Full textBornaetxea, T., A. Blais-Stevens, and B. Miller. Landslide inventory map of the Valemount area, British Columbia. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/330911.
Full textHathaway, John, Brent Pulsipher, Barry Roberts, and Sean McKenna. Application of Integrated Visual Sample Plan UXO Design and Analysis Module to the Former Camp Beale for the ESTCP Wide Area Assessment Demonstration. Fort Belvoir, VA: Defense Technical Information Center, August 2008. http://dx.doi.org/10.21236/ada606787.
Full textAnschuetz, Robert. ADST ARWA Visual System Module Interface Design Document. Fort Belvoir, VA: Defense Technical Information Center, February 1994. http://dx.doi.org/10.21236/ada283297.
Full textAnschuetz, Robert. ADST ARWA Visual System Module Software Programmer's Manual. Fort Belvoir, VA: Defense Technical Information Center, March 1994. http://dx.doi.org/10.21236/ada283299.
Full textde Sousa, Eduardo, Renata Matsui, Leonardo Boldrini, Leandra Baptista, and José Mauro Granjeiro. Mesenchymal stem cells for the treatment of articular cartilage defects of the knee: an overview of systematic reviews. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, December 2022. http://dx.doi.org/10.37766/inplasy2022.12.0114.
Full textHoward, Jo. Practical Guides for Participatory Methods: Mapping and Power Analysis. Institute of Development Studies, January 2023. http://dx.doi.org/10.19088/ids.2023.002.
Full textTabinskyy, Yaroslav. VISUAL CONCEPTS OF PHOTO IN THE MEDIA (ON THE EXAMPLE OF «UKRAINER» AND «REPORTERS»). Ivan Franko National University of Lviv, March 2021. http://dx.doi.org/10.30970/vjo.2021.50.11099.
Full textKerrigan, Susan, Phillip McIntyre, and Marion McCutcheon. Australian Cultural and Creative Activity: A Population and Hotspot Analysis: Geelong and Surf Coast. Queensland University of Technology, 2020. http://dx.doi.org/10.5204/rep.eprints.206969.
Full textVakaliuk, Tetiana A., Olha V. Korotun, and Serhiy O. Semerikov. The selection of cloud services for ER-diagrams construction in IT specialists databases teaching. CEUR Workshop Proceedings, June 2021. http://dx.doi.org/10.31812/123456789/4371.
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