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1

Giraud, J. M., J. R. Fenolland, F. May, O. Hammam, A. M. Sadat, A. Bey Boumezrag, and J. P. Renard. "Analyse d’un nouvel indice d’évaluation du champ visuel, le VFI, dans l’hypertonie oculaire et le glaucome." Journal Français d'Ophtalmologie 33, no. 1 (January 2010): 2–9. http://dx.doi.org/10.1016/j.jfo.2009.11.004.

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Giraud, J. M., K. Reda, F. May, J. R. Fenolland, R. Dariel, A. Nicaise, J. F. Maurin, and J. P. Renard. "475 Analyse d’un nouvel indice d’évaluation du champ visuel, le VFI, dans l’hypertonie oculaire et le glaucome." Journal Français d'Ophtalmologie 32 (April 2009): 1S147–1S148. http://dx.doi.org/10.1016/s0181-5512(09)73599-5.

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3

Heijl, Anders, Georg Lindgren, Jonny Olsson, and Peter �smanl. "On weighted visual field indices." Graefe's Archive for Clinical and Experimental Ophthalmology 230, no. 4 (1992): 397–98. http://dx.doi.org/10.1007/bf00165953.

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4

Hardage, Lani, and Robert L. Stamper. "Reliability Indices for Automated Visual Fields." Ophthalmology 96, no. 12 (December 1989): 1810. http://dx.doi.org/10.1016/s0161-6420(89)32969-1.

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5

Flammer, Josef. "The concept of visual field indices." Graefe's Archive for Clinical and Experimental Ophthalmology 224, no. 5 (September 1986): 389–92. http://dx.doi.org/10.1007/bf02173350.

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6

Valsecchi, Matteo, Elena Betta, and Massimo Turatto. "Visual oddballs induce prolonged microsaccadic inhibition." Experimental Brain Research 177, no. 2 (September 2, 2006): 196–208. http://dx.doi.org/10.1007/s00221-006-0665-6.

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7

Jamnik, Jure, and Gregor Zvelc. "The Embodiment of Power and Visual Dominance Behaviour." Interdisciplinary Description of Complex Systems 15, no. 4 (2017): 228–41. http://dx.doi.org/10.7906/indecs.15.4.1.

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8

Van der Burg, Erik, Mark R. Nieuwenstein, Jan Theeuwes, and Christian N. L. Olivers. "Irrelevant Auditory and Visual Events Induce a Visual Attentional Blink." Experimental Psychology 60, no. 2 (November 1, 2013): 80–89. http://dx.doi.org/10.1027/1618-3169/a000174.

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In the present study we investigated whether a task-irrelevant distractor can induce a visual attentional blink pattern. Participants were asked to detect only a visual target letter (A, B, or C) and to ignore the preceding auditory, visual, or audiovisual distractor. An attentional blink was observed regardless of the distractor modality. The magnitude of the attentional blink was greater when the target was preceded by a visual or an audiovisual distractor than when the target letter was preceded by an auditory distractor. The presence of a distractor-induced attentional blink regardless of the distractor modality suggests that the attentional blink phenomenon is at least partly due to an amodal processing limitation.
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9

Yamamoto, Sakae, and Takaaki Koyazu. "The effect of indices on visual search." Japanese journal of ergonomics 29, Supplement (1993): 464–65. http://dx.doi.org/10.5100/jje.29.supplement_464.

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10

SULLIVAN, MICHELE G. "Hypoglycemia Can Induce Visual Disturbances in Diabetes." Family Practice News 38, no. 18 (September 2008): 12. http://dx.doi.org/10.1016/s0300-7073(08)71168-x.

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11

Glicksohn, Joseph, and Hilla Yaniv. "Visual hybrids induce anxiety: A microgenetic approach." Psychology of Consciousness: Theory, Research, and Practice 3, no. 3 (September 2016): 239–57. http://dx.doi.org/10.1037/cns0000085.

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12

Murty, Dinavahi V. P. S., Vinay Shirhatti, Poojya Ravishankar, and Supratim Ray. "Large Visual Stimuli Induce Two Distinct Gamma Oscillations in Primate Visual Cortex." Journal of Neuroscience 38, no. 11 (February 9, 2018): 2730–44. http://dx.doi.org/10.1523/jneurosci.2270-17.2017.

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13

Conway, Miriam, Robert P. Cubbidge, and Sarah L. Hosking. "Visual Field Severity Indices Demonstrate Dose-Dependent Visual Loss from Vigabatrin Therapy." Epilepsia 49, no. 1 (January 2008): 108–16. http://dx.doi.org/10.1111/j.1528-1167.2007.01249.x.

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14

Minamisawa, Genki, Kenta Funayama, Nobuyoshi Matsumoto, Norio Matsuki, and Yuji Ikegaya. "Flashing Lights Induce Prolonged Distortions in Visual Cortical Responses and Visual Perception." eneuro 4, no. 3 (May 2017): ENEURO.0304–16.2017. http://dx.doi.org/10.1523/eneuro.0304-16.2017.

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15

&NA;. "Carbamazepine and vigabatrin induce changes in visual function." Reactions Weekly &NA;, no. 848 (April 2001): 3. http://dx.doi.org/10.2165/00128415-200108480-00005.

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16

Doherty-Sneddon, Gwyneth, Deborah Riby, Lisa Whittle, and Lesley Calderwood. "Les indices visuels de la communication chez l’enfant." Enfance 2010, no. 03 (September 2010): 339. http://dx.doi.org/10.4074/s0013754510003095.

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17

Vadillo, Miguel A., Tamara Giménez-Fernández, M. Pilar Aivar, and Carmelo P. Cubillas. "Ignored visual context does not induce latent learning." Psychonomic Bulletin & Review 27, no. 3 (March 11, 2020): 512–19. http://dx.doi.org/10.3758/s13423-020-01722-x.

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18

Costagliola, C., C. De Simone, A. Giacoia, G. Iuliano, and V. Landolfo. "Influence of Lens Opacities on Visual Field Indices." Ophthalmologica 201, no. 4 (1990): 180–86. http://dx.doi.org/10.1159/000310149.

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19

IWATA, Toshie. "Indices for Evaluation of Light and Visual Environment." Journal of the Society of Mechanical Engineers 117, no. 1145 (2014): 206–9. http://dx.doi.org/10.1299/jsmemag.117.1145_206.

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20

Moher, Jeff. "Distracting Objects Induce Early Quitting in Visual Search." Psychological Science 31, no. 1 (November 20, 2019): 31–42. http://dx.doi.org/10.1177/0956797619886809.

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Task-irrelevant objects can sometimes capture attention and increase the time it takes an observer to find a target. However, less is known about how these distractors impact visual search strategies. Here, I found that salient distractors reduced rather than increased response times on target-absent trials (Experiment 1; N = 200). Combined with higher error rates on target-present trials, these results indicate that distractors can induce observers to quit search earlier than they otherwise would. These effects were replicated when target prevalence was low (Experiment 2; N = 200) and with different stimuli that elicited shallower search slopes (Experiment 3; N = 75). These results demonstrate that salient distractors can produce at least two consequences in visual search: They can capture attention, and they can cause observers to quit searching early. This novel finding has implications both for understanding visual attention and for examining distraction in real-world domains where targets are often absent, such as medical image screening.
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21

Koskela, Pentti U., P. Juhani Airaksinen, and Anja Tuulonen. "The effect of jogging on visual field indices." Acta Ophthalmologica 68, no. 1 (May 27, 2009): 91–93. http://dx.doi.org/10.1111/j.1755-3768.1990.tb01656.x.

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22

Rolando, Maurizio, A. Macrì, and Michele Iester. "Optic disc surface smoothness and visual field indices." Graefe's Archive for Clinical and Experimental Ophthalmology 237, no. 5 (April 12, 1999): 372–76. http://dx.doi.org/10.1007/s004170050246.

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23

Vanegas, M. Isabel, Annabelle Blangero, and Simon P. Kelly. "Electrophysiological indices of surround suppression in humans." Journal of Neurophysiology 113, no. 4 (February 15, 2015): 1100–1109. http://dx.doi.org/10.1152/jn.00774.2014.

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Surround suppression is a well-known example of contextual interaction in visual cortical neurophysiology, whereby the neural response to a stimulus presented within a neuron's classical receptive field is suppressed by surrounding stimuli. Human psychophysical reports present an obvious analog to the effects seen at the single-neuron level: stimuli are perceived as lower-contrast when embedded in a surround. Here we report on a visual paradigm that provides relatively direct, straightforward indices of surround suppression in human electrophysiology, enabling us to reproduce several well-known neurophysiological and psychophysical effects, and to conduct new analyses of temporal trends and retinal location effects. Steady-state visual evoked potentials (SSVEP) elicited by flickering “foreground” stimuli were measured in the context of various static surround patterns. Early visual cortex geometry and retinotopic organization were exploited to enhance SSVEP amplitude. The foreground response was strongly suppressed as a monotonic function of surround contrast. Furthermore, suppression was stronger for surrounds of matching orientation than orthogonally-oriented ones, and stronger at peripheral than foveal locations. These patterns were reproduced in psychophysical reports of perceived contrast, and peripheral electrophysiological suppression effects correlated with psychophysical effects across subjects. Temporal analysis of SSVEP amplitude revealed short-term contrast adaptation effects that caused the foreground signal to either fall or grow over time, depending on the relative contrast of the surround, consistent with stronger adaptation of the suppressive drive. This electrophysiology paradigm has clinical potential in indexing not just visual deficits but possibly gain control deficits expressed more widely in the disordered brain.
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24

Åsman, Peter, Anders Heijl, Jonny Olsson, and Holger Rootzén. "Spatial analyses of glaucomatous visual fields; a comparison with traditional visual field indices." Acta Ophthalmologica 70, no. 5 (May 27, 2009): 679–86. http://dx.doi.org/10.1111/j.1755-3768.1992.tb02152.x.

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25

Mohan, Jinu, and Rajesh R. "SECURE VISUAL CRYPTOGRAPHY SCHEME WITH MEANINGFUL SHARES." Indian Journal of Computer Science and Engineering 11, no. 2 (April 30, 2020): 146–60. http://dx.doi.org/10.21817/indjcse/2020/v11i2/201102001.

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26

Kocak, Nurullah, Mustafa Turunc, Merve Bayrambas, Bilge Eraydin, and Inci Güngor. "Atherogenic indices in non-arteritic ischemic optic neuropathy." International Journal of Ophthalmology 14, no. 7 (July 18, 2021): 1041–46. http://dx.doi.org/10.18240/ijo.2021.07.12.

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AIM: To evaluate the atherogenic indices and the relationship with visual acuity and bilateral sequential involvement in patients with non-arteritic ischemic optic neuropathy (NAION). METHODS: A total of 65 patients with NAION and 48 age-sex matched healthy individuals were included in this retrospective study. The demographic characteristics and laboratory findings of the patients and control subjects were obtained from the electronic medical records. The atherogenic indices were calculated using the lipid parameters. The association between visual acuity, bilateral sequential involvement, and atherogenic indices was investigated. RESULTS: The mean age was 63.8±12.5y in the NAION group and 64.7±10.1y in control group (P=0.707). Although there were no significant differences in terms of total cholesterol (TC) and low-density lipoprotein cholesterol (LDL-c) between two groups (P=0.089, 0.091), all the non-traditional serum lipid ratios were significantly higher in NAION group (P<0.05). In the NAION subgroup analysis, with visual acuity≤20/200 had higher TC/high-density lipoprotein cholesterol (HDL-c), LDL-c/HDL-c, and non-HDL-c/HDL-c values than the patients in the NAION group with visual acuity >20/200 (P=0.032, 0.025, 0.032, respectively). The values for the atherogenic indices were higher in NAION patients with bilateral sequential involvement in comparison to those with unilateral involvement (P=0.271, 0.127, 0.197, 0.128, 0.127, respectively). CONCLUSION: The study reveals a relationship between NAION and the non-traditional lipid ratios. Atherogenic indices may predict the visual loss severity and second eye involvement in patients with NAION.
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27

Ferretti, M. "Potential and limitation of visual indices of tree condition." Chemosphere 36, no. 4-5 (February 1998): 1031–36. http://dx.doi.org/10.1016/s0045-6535(97)10167-9.

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28

Yaggie, J. A., and W. J. Armstrong. "THE EFFECTS OF VISUAL BIOFEEDBACK ON INDICES OF BALANCE." Medicine & Science in Sports & Exercise 35, Supplement 1 (May 2003): S314. http://dx.doi.org/10.1097/00005768-200305001-01738.

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29

Finke, Ronald A., Jennifer J. Freyd, and Gary C. Shyi. "Implied velocity and acceleration induce transformations of visual memory." Journal of Experimental Psychology: General 115, no. 2 (1986): 175–88. http://dx.doi.org/10.1037/0096-3445.115.2.175.

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30

Ford, C., and J. Hopfinger. "ERP indices of reflexive attention effects on visual search." Journal of Vision 13, no. 9 (July 25, 2013): 229. http://dx.doi.org/10.1167/13.9.229.

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31

Badcock, Tracey. "Accuracy of metameric indices in relation to visual assessments." Journal of the Society of Dyers and Colourists 108, no. 1 (October 22, 2008): 31–40. http://dx.doi.org/10.1111/j.1478-4408.1992.tb01376.x.

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32

Manolov, Rumen, Antonio Solanas, and David Leiva. "Comparing “Visual” Effect Size Indices for Single-Case Designs." Methodology 6, no. 2 (January 2010): 49–58. http://dx.doi.org/10.1027/1614-2241/a000006.

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Effect size indices are indispensable for carrying out meta-analyses and can also be seen as an alternative for making decisions about the effectiveness of a treatment in an individual applied study. The desirable features of the procedures for quantifying the magnitude of intervention effect include educational/clinical meaningfulness, calculus easiness, insensitivity to autocorrelation, low false alarm, and low miss rates. Three effect size indices related to visual analysis are compared according to the aforementioned criteria. The comparison is made by means of data sets with known parameters: degree of serial dependence, presence or absence of general trend, and changes in level and/or in slope. The percent of nonoverlapping data showed the highest discrimination between data sets with and without intervention effect. In cases when autocorrelation or trend is present, the percentage of data points exceeding the median may be a better option to quantify the effectiveness of a psychological treatment.
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Airaksinen, P. Juhani, Stephen M. Drance, Gordon R. Douglas, and Michael Schulzer. "Neuroretinal Rim Areas and Visual Field Indices in Glaucoma." American Journal of Ophthalmology 99, no. 2 (February 1985): 107–10. http://dx.doi.org/10.1016/0002-9394(85)90216-8.

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Zhou, You, Fang-Hao Fang, Ping Pan, Zhi-Rui Liu, and Yong-Hua Ji. "Visual deprivation induce cross-modal enhancement of olfactory perception." Biochemical and Biophysical Research Communications 486, no. 3 (May 2017): 833–38. http://dx.doi.org/10.1016/j.bbrc.2017.03.140.

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Byring, R. F., S. Haapasalo, and T. Salmi. "Adolescents with learning disorders have atypical EEG correlation indices. I. Correlation indices during visual discrimination." Clinical Neurophysiology 115, no. 11 (November 2004): 2574–83. http://dx.doi.org/10.1016/j.clinph.2004.05.026.

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36

Lee, Wen-Hsuan, and Yu-Hsun Lin. "Online communication of visual information." Online Information Review 44, no. 1 (November 26, 2019): 43–61. http://dx.doi.org/10.1108/oir-08-2018-0235.

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Purpose The purpose of this paper is to deepen the understanding of why text messages are superseded by using stickers, thus driving instant messaging software (IMS) users’ visual communication process. Design/methodology/approach Drawing on Uses & Gratifications (U&G) theory and using a semantic technique, this research begins by identifying design indices of stickers and user’s perceived gratifications that they describe and evaluate at their first impression of using stickers in Study 1. Study 2 introduces media richness theory and the expectancy model into the framework of U&G theory and further explains several causal linkages from the LINE stickers’ design quality indices to proximal users’ perception of gratifications and distal sticker use intention. Findings Study 1 explores four variables, playfulness, variety, delicacy and uniqueness, as stickers’ design quality indices and discloses two user perceptions of gratifications, i.e., the needs of self-expression and of flaunting to someone, as main intrinsic motives for users sending stickers. The results of Study 2 further support the finding that self-expression and a mentality that seeks conspicuousness are two important psychological variables mediating the effects of three design quality indices – playfulness, variety and uniqueness – on visual image use intention. Originality/value The main contribution of this research is to verify the psychological mechanism of visualized communication between IMS users. Moreover, the finding extends the digital marketing literature by highlighting conspicuous consumption that occurs not only in consuming luxury goods, but also in costless or cheaper digital product such as IMS stickers.
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Bernardi, Giulio, Monica Betta, Jacinthe Cataldi, Andrea Leo, José Haba-Rubio, Raphaël Heinzer, Chiara Cirelli, et al. "Visual imagery and visual perception induce similar changes in occipital slow waves of sleep." Journal of Neurophysiology 121, no. 6 (June 1, 2019): 2140–52. http://dx.doi.org/10.1152/jn.00085.2019.

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Previous studies have shown that regional slow-wave activity (SWA) during non-rapid eye movement (NREM) sleep is modulated by prior experience and learning. Although this effect has been convincingly demonstrated for the sensorimotor domain, attempts to extend these findings to the visual system have provided mixed results. In this study we asked whether depriving subjects of external visual stimuli during daytime would lead to regional changes in slow waves during sleep and whether the degree of “internal visual stimulation” (spontaneous imagery) would influence such changes. In two 8-h sessions spaced 1 wk apart, 12 healthy volunteers either were blindfolded while listening to audiobooks or watched movies (control condition), after which their sleep was recorded with high-density EEG. We found that during NREM sleep, the number of small, local slow waves in the occipital cortex decreased after listening with blindfolding relative to movie watching in a way that depended on the degree of visual imagery subjects reported during blindfolding: subjects with low visual imagery showed a significant reduction of occipital sleep slow waves, whereas those who reported a high degree of visual imagery did not. We also found a positive relationship between the reliance on visual imagery during blindfolding and audiobook listening and the degree of correlation in sleep SWA between visual areas and language-related areas. These preliminary results demonstrate that short-term alterations in visual experience may trigger slow-wave changes in cortical visual areas. Furthermore, they suggest that plasticity-related EEG changes during sleep may reflect externally induced (“bottom up”) visual experiences, as well as internally generated (“top down”) processes.NEW & NOTEWORTHY Previous work has shown that slow-wave activity, a marker of sleep depth, is linked to neural plasticity in the sensorimotor cortex. We show that after short-term visual deprivation, subjects who reported little visual imagery had a reduced incidence of occipital slow waves. This effect was absent in subjects who reported strong spontaneous visual imagery. These findings suggest that visual imagery may “substitute” for visual perception and induce similar changes in non-rapid eye movement slow waves.
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38

Li, Suo. "Design Analysis of Visual Illusion Application in Visual Communication." Applied Mechanics and Materials 687-691 (November 2014): 3718–22. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.3718.

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Visual illusion is a universal phenomenon that deviates from people’s conventional perception experience. Applying this phenomenon into design can exploit vast form innovation in visual field. This paper takes advantage of visual illusion to widen designer’s design thought. Especially, the special visual effects it generates can intensively simulate human vision and induce psychological association. Visual illusion embodies a sort of meaningful form as well as declares the various manifestation patterns of visual design itself.
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Kersten, Daniel, Pascal Mamassian, and David C. Knill. "Moving Cast Shadows Induce Apparent Motion in Depth." Perception 26, no. 2 (February 1997): 171–92. http://dx.doi.org/10.1068/p260171.

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Phenomenally strong visual illusions are described in which the motion of an object‘s cast shadow determines the perceived 3-D trajectory of the object. Simply adjusting the motion of a shadow is sufficient to induce dramatically different apparent trajectories of the object casting the shadow. Psychophysical results obtained with the use of 3-D graphics are reported which show that: (i) the information provided by the motion of an object's shadow overrides other strong sources of information and perceptual biases, such as the assumption of constant object size and a general viewpoint; (ii) the natural constraint of shadow darkness plays a role in the interpretation of a moving image patch as a shadow, but under some conditions even unnatural light shadows can induce apparent motion in depth of an object; (iii) when shadow motion is caused by a moving light source, the visual system incorrectly interprets the shadow motion as consistent with a moving object, rather than a moving light source. The results support the hypothesis that the human visual system incorporates a stationary light-source constraint in the perceptual processing of spatial layout of scenes.
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40

Rojas Acuña, Joel, José Carlos Eche Llenque, Eleazar Rufasto Campos, and Robinson Negron Juárez. "MODELO DE PREDICCIÓN DEL INICIO DE LA SEQUÍA EN EL PERÚ USANDO EL INDICE DE VEGETACION PROCEDENTE DE IMÁGENES DE SATÉLITE E INDICES EL NIÑO OSCILACIÓN SUR." Revista de Investigación de Física 9, no. 02 (December 29, 2006): 7–16. http://dx.doi.org/10.15381/rif.v9i02.8582.

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El índice de vegetación de diferencia normalizada (NDVI) obtenidos de las imágenes del sensor AVHRR de la serie de satélites NOAA y los índices El Niño Oscilación Sur (ENOS) serán usados para construir un modelo de predicción del comienzo de la sequía en la costa norte de Perú a través de una técnica de regresión múltiple lineal. Para desarrollar el modelo serán usados los datos mensuales de las anomalías de los índices ENOS y NDVI en el periodo de julio 1981 a diciembre 2003. El objetivo de este trabajo preliminar, primera parte, es una descripción de cómo y donde los datos son obtenidos y se calcula sus anomalías. Las series temporales de las anomalías de NDVI, en el periodo 1981-2003, fueron comparadas con las series temporales de los índices ENOS. Una inspección visual de las anomalías muestran una correlación en los años Niños 82-83 y 97-98. El NDVI de la región Loreto en la selva peruana no muestra un cambio significativo con relación a los índices ENOS.
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41

Khan, Afsheen, Sally A. McFadden, Mark Harwood, and Josh Wallman. "Salient Distractors Can Induce Saccade Adaptation." Journal of Ophthalmology 2014 (2014): 1–11. http://dx.doi.org/10.1155/2014/585792.

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When saccadic eye movements consistently fail to land on their intended target, saccade accuracy is maintained by gradually adapting the movement size of successive saccades. The proposed error signal for saccade adaptation has been based on the distance between where the eye lands and the visual target (retinal error). We studied whether the error signal could alternatively be based on the distance between the predicted and actual locus of attention after the saccade. Unlike conventional adaptation experiments that surreptitiously displace the target once a saccade is initiated towards it, we instead attempted to draw attention away from the target by briefly presenting salient distractor images on one side of the target after the saccade. To test whether less salient, more predictable distractors would induce less adaptation, we separately used fixed random noise distractors. We found that both visual attention distractors were able to induce a small degree of downward saccade adaptation but significantly more to the more salient distractors. As in conventional adaptation experiments, upward adaptation was less effective and salient distractors did not significantly increase amplitudes. We conclude that the locus of attention after the saccade can act as an error signal for saccade adaptation.
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42

Goshvarpour, Atefeh, Ataollah Abbasi, and Ateke Goshvarpour. "GENDER DIFFERENCES IN RESPONSE TO AFFECTIVE AUDIO AND VISUAL INDUCTIONS: EXAMINATION OF NONLINEAR DYNAMICS OF AUTONOMIC SIGNALS." Biomedical Engineering: Applications, Basis and Communications 28, no. 04 (August 2016): 1650024. http://dx.doi.org/10.4015/s1016237216500241.

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Physiological reflection of emotions can be tracked by autonomic signals. Several studies have been conducted using autonomic signal processing to examine men and women differences during the exposure of affective stimuli. Emotional pictures and music are two commonly used methods to induce affects in an experimental setup. The biological changes have been commonly monitored during a certain emotional inducement protocol, solely. This study was aimed to examine two induction paradigms involved auditory and visual cues using nonlinear dynamical approaches. To this end, various nonlinear parameters of galvanic skin response (GSR) and pulse signals of men and women were examined. The nonlinear analysis was performed using lagged Poincare parameters, detrended fluctuation indices (DFAs), Lyapunov exponents (LEs), some entropy measures, and recurrence quantification analysis (RQA). The Wilcoxon rank sum test was used to show significant differences between the groups. The results indicate that besides the type of affect induction, physiological differences of men and women are notable in negative emotions (sadness and fear). Regardless to the inducements, lagged Poincare parameters of the pulse signals and DFA indices of the GSR have shown significant differences in gender affective responses. However, applying pictorial stimuli, LEs are appropriate indicators for gender discrimination. It is also concluded that GSR dynamics are intensely affected by the kind of stimuli; while this is not validated for the pulse. These findings suggest that different emotional inductions evoked different autonomic responses in men and women, which can be appropriately monitored using nonlinear signal processing approaches.
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43

Steddom, K., M. W. Bredehoeft, M. Khan, and C. M. Rush. "Comparison of Visual and Multispectral Radiometric Disease Evaluations of Cercospora Leaf Spot of Sugar Beet." Plant Disease 89, no. 2 (February 2005): 153–58. http://dx.doi.org/10.1094/pd-89-0153.

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Visual assessments of disease severity are currently the industry standard for quantification of the necrosis caused by Cercospora beticola on sugar beet (Beta vulgaris) leaves. We compared the precision, reproducibility, and sensitivity of a multispectral radiometer to visual disease assessments. Individual wavebands from the radiometer, as well as vegetative indices calculated from the individual wavebands, were compared with visual disease estimates from two raters at each of two research sites. Visual assessments and radiometric measurements were partially repeated immediately after the first assessment at each site. Precision, as measured by reduced coefficients of variation, was improved for all vegetative indices and individual waveband radiometric measures compared with visual assessments. Visual assessments, near-infrared singlewaveband reflectance values, and four of the six vegetative indices had high treatment F values, suggesting greater sensitivity at discriminating disease severity levels. Reproducibility, as measured by a test-retest method, was high for visual assessments, single-waveband reflectance at 810 nm, and several of the vegetative indices. The use of radiometric methods has the potential to increase the precision of assessments of Cercospora leaf spot foliar symptoms of sugar beet while eliminating potential bias. We recommend this method be used in conjunction with visual disease assessments to improve precision of assessments and guard against potential bias in evaluations.
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44

Li, Suo. "Design and Analysis of Visual Illusion Application in Visual Communication." Applied Mechanics and Materials 651-653 (September 2014): 1306–10. http://dx.doi.org/10.4028/www.scientific.net/amm.651-653.1306.

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Visual illusion is a universal phenomenon that deviates from people’s conventional perception experience. Applying this phenomenon into design can exploit vast form innovation in visual field. This paper takes advantage of visual illusion to widen designer’s design thought. Especially, the special visual effects it generates can intensively simulate human vision and induce psychological association. Visual illusion embodies a sort of meaningful form as well as declares the various manifestation patterns of visual design itself.
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45

Chan, Alan H. S., Rui F. Yu, and Alan J. Courtney. "Quantifying Visual Field Shape for Improving Accuracy of Search Performance Prediction." Perceptual and Motor Skills 100, no. 1 (February 2005): 195–206. http://dx.doi.org/10.2466/pms.100.1.195-206.

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The current study calculated a set of 16 shape indices of six subjects (4 men and 2 women, 21–28 years old) for easy and precise quantification of visual lobe shapes using Visual Lobe Measurement System (VILOMS) software. The indices can be used in mathematical models of visual search for better understanding of search behaviour and higher accuracy of search performance prediction. General patterns in the shape indices showed that visual lobes of the subjects were slightly irregular, with low sphericity, a moderately rough boundary, horizontally elongated and slightly asymmetric along both axes. Given the complex relationships among visual lobe area, lobe shape, and search strategy, it seems that a more detailed analysis than hitherto attempted will be necessary. Quantifying lobe shape with the 16 shape indexes is a useful step to performing such analysis.
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46

Matsunaga, Wataru, and Eiji Watanabe. "Artificial visual stimuli induce feeding behavior of the medaka fish." Neuroscience Research 68 (January 2010): e268. http://dx.doi.org/10.1016/j.neures.2010.07.1192.

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47

O'Connell, R. G., D. Schneider, R. Hester, J. B. Mattingley, and M. A. Bellgrove. "Attentional Load Asymmetrically Affects Early Electrophysiological Indices of Visual Orienting." Cerebral Cortex 21, no. 5 (September 15, 2010): 1056–65. http://dx.doi.org/10.1093/cercor/bhq178.

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48

Bickler-Bluth, Michelle, Gary L. Trick, Allan E. Kolker, and Dorothy G. Cooper. "Assessing the Utility of Reliability Indices for Automated Visual Fields." Ophthalmology 96, no. 5 (May 1989): 616–19. http://dx.doi.org/10.1016/s0161-6420(89)32840-5.

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49

Washburn, David A., and R. Thompson Putney. "Pupillometric Indices of Dimensions of Difficulty in Visual-Task Performance." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 39, no. 14 (October 1995): 949. http://dx.doi.org/10.1177/154193129503901438.

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Rao, Aparna, Sarada Prasanna Sarangi, Debananda Padhy, Niranjan Raj, and Gopinath Das. "Impact of Different Visual Field Instruction Strategies on Reliability Indices." Seminars in Ophthalmology 33, no. 5 (December 19, 2017): 683–89. http://dx.doi.org/10.1080/08820538.2017.1416413.

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