Relevant bibliographies by topics / Visual evoked response

Academic literature on the topic 'Visual evoked response'

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Published: 4 June 2021
Last updated: 28 July 2024

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Journal articles on the topic "Visual evoked response"

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Vaughan, Herbert G., and Robert Katzman†. "EVOKED RESPONSE IN VISUAL DISORDERS*." Annals of the New York Academy of Sciences 112, no. 1 (December 16, 2006): 305–19. http://dx.doi.org/10.1111/j.1749-6632.1964.tb26759.x.

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Douthwaite, W. A., and T. C. A. Jenkins. "VISUAL ACUITY PREDICTION USING THE VISUAL EVOKED RESPONSE." Ophthalmic and Physiological Optics 7, no. 4 (October 1987): 421–24. http://dx.doi.org/10.1111/j.1475-1313.1987.tb00772.x.

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JENSEN, OLE LUND, and ERIK KROGH. "VISUAL EVOKED RESPONSE AND ALCOHOL INTOXICATION." Acta Ophthalmologica 62, no. 4 (May 27, 2009): 651–57. http://dx.doi.org/10.1111/j.1755-3768.1984.tb03978.x.

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Vasile, Russell G., Frank H. Duffy, Gloria McAnulty, David Bear, John J. Mooney, Kerry Bloomingdale, Leslie K. Serchuck, and Joseph J. Schildkraut. "Abnormal visual evoked response in melancholia." Biological Psychiatry 25, no. 6 (March 1989): 785–88. http://dx.doi.org/10.1016/0006-3223(89)90250-3.

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Katsumi, Osamu, Mehul C. Mehta, Elizabeth W. Larson-Park, Charlene J. Skladzien, and Tatsuo Hirose. "Pattern reversal visual evoked response and Snellen visual acuity." Graefe's Archive for Clinical and Experimental Ophthalmology 232, no. 5 (May 1994): 272–78. http://dx.doi.org/10.1007/bf00194476.

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Kerty, Emilia, Nils Eide, and Ola Skjeldal. "Visual evoked response in Syphilitic optic atrophy." Acta Ophthalmologica 64, no. 5 (May 27, 2009): 553–56. http://dx.doi.org/10.1111/j.1755-3768.1986.tb06972.x.

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Granet, David B., Richard W. Hertle, Graham E. Quinn, and Michael E. Breton. "The Visual-evoked Response in Infants With Central Visual Impairment." American Journal of Ophthalmology 116, no. 4 (October 1993): 437–43. http://dx.doi.org/10.1016/s0002-9394(14)71401-1.

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Sanders, E. A., A. C. Volkers, J. C. van der Poel, and G. H. van Lith. "Visual function and pattern visual evoked response in optic neuritis." British Journal of Ophthalmology 71, no. 8 (August 1, 1987): 602–8. http://dx.doi.org/10.1136/bjo.71.8.602.

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Sedwick, Lyn A. "The Visual-Evoked Response in Infants With Central Visual Impairment." Journal of Neuro-Ophthalmology 14, no. 1 (March 1994): 63. http://dx.doi.org/10.1097/00041327-199403000-00035.

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Soelberg Sørensen, P., W. Trojaborg, F. Gjerris, and B. Krogsaa. "Delayed visual evoked response in benign intracranial hypertension." Acta Neurologica Scandinavica 69, S98 (January 29, 2009): 389–90. http://dx.doi.org/10.1111/j.1600-0404.1984.tb02533.x.

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Dissertations / Theses on the topic "Visual evoked response"

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O’Toole, Dennis Michael. "Removal of ocular artifact from visual evoked response recordings." Thesis, University of British Columbia, 1985. http://hdl.handle.net/2429/25502.

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Potentials generated by the eye cause unwanted artifact in Visual Evoked Response (VER) recordings. These artifacts often contaminate the data in a systematic way that can lead to spurious experimental results. Although it is widely agreed that ocular artifact must be accounted for, the methods used to deal with this problem are varied. The present study compared four methods used to control ocular artifact; blink rejection, eyes closed, subtraction and regression. Twenty normal, female subjects were tested twice within the same session. Subjects watched light flashes of 4 intensities; 2, 30, 80, and 240 ft lamberts. The lights were presented at 1 hertz, reached maximum brightness in 0.5 msec and lasted for 0.5 sec. During testing the VER, and electroocculographic (EOG) response generated by a blink, were recorded. In the blink rejection method, any VER epoch that contained blink artifact was excluded from the average. The eyes closed method consisted of having subjects watch the stimuli through closed eyelids. The subtraction method corrects blink artifact by digitally subtracting the averaged EOG from the EEG. The proportion of EOG subtracted was determined by the EEG/EOG ratio estimated while subjects blinked spontaneously in a darkened environment. The regression method determines what proportion of EOG is to be subtracted on the basis of the correlation between EOG and EEG within VER epochs. Two correction, factors are calculated, one to correct for vertical movements and one to correct for horizontal movements. The blink rejection method was found to be useful with subjects who had 40% or more blink-free epochs, but was an unreliable method for the majority of subjects. The eyes closed method was also found to produce poor VER data. The eyelids appear to attenuate the light reaching the retina and there may be eyeball movement despite having the eyes closed. Both the subtraction and regression methods substantially reduced the ocular artifact. Horizontal eye movements do not appear to be a significant problem over the short intervals of VER recording because the regression method was not superior to the subtraction method in removing artifact. Although the subtraction and regression methods effectively reduce ocular artifact, both are less effective at posterior electrode placements. The reason for this may be that ocular potential is not propagated across the scalp in a linear fashion, as often assumed. Using spontaneously generated blinks in a darkened environment, it was found that the ocular potential waveform changes shape as it moves towards the back of the head.
Arts, Faculty of
Psychology, Department of
Graduate
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Rudduck, Gillian A. "The chromatic visual evoked response as an indication of visual development." Thesis, Aston University, 1993. http://publications.aston.ac.uk/14607/.

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In an endeavour to provide further insight into the maturation of the cortical visual system in human infants, chromatic transient pattern reversal visual evoked potentials to red/green stimuli, were studied in a group of normal full term infants between the ages of 1 and 14 weeks post term in both cross sectional and longitudinal studies. In order to produce stimuli in which luminance cues had been eliminated with an aim to eliciting a chromatic response, preliminary studies of isoluminance determination in adults and infants were undertaken using behavioural and electrophysiological techniques. The results showed close similarity between the isoluminant ratio for adults and infants and all values were close to photometric isoluminance. Pattern reversal VEPs were recorded to stimuli of a range of red/green luminance ratios and an achromatic checkerboard. No transient VEP could be elicited with an isoluminant chromatic pattern reversal stimulus from any infant less than 7 weeks post term and similarly, all infants more than 7 weeks post term showed clear chromatic VEPs. The chromatic response first appeared at that age as a major positive component (P1) of long latency. This was delayed and reduced in comparison to the achromatic response. As the infant grew older, the latency of the P1 component decreased with the appearance of N1 and N by the 10th week post term. This finding was consistent throughout all infants assessed. In a behavioural study, no infant less than 7 weeks post term demonstrated clear discrimination of the chromatic stimulus, while those infants older than 7 weeks could do so. These findings are reviewed with respect to current neural models of visual development.
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Hobley, Angela J. "The investigation of the primary response of the flash visual evoked response." Thesis, Aston University, 1988. http://publications.aston.ac.uk/14616/.

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The topographical distribution of the early components of the flash visual evoked response (VER) were investigated using a twenty channel brain mapping system. Thirty subjects, ranging in age from 21 to 84 years, had flash VERs recorded using the standard 10-20 electrode system to a balanced non-cephalic reference. The subjects were divided into three age groups: a young group, a middle group and an older group. The P2 component (positive component around 100-120 msec) of the flash VER was recorded consistently over the occipital region throughout the age range, as was a frontal negative component (N120) of about the same latency. Only the young age group had this single negative component on the frontage channels, whilst the middle age group showed an additional negative component at around 75 msec (N75). Neither group had a recordable P1 component (positive component around 60-75 msec) over the occipital region. The older age group showed both P1 and P2 components over the occipital region with the distribution of the P1 component being more widespread anteriorly. The frontal channels showed both the negative N75 and the later N120 components. The frontal negative components were shown not to be related to the electroretinogram or the balanced non-cephalic reference, but were affected by the type of stimulation. Responses recorded to both pattern reversal and onset/offset stimulation did not show the frontal negative potentials seen with flash stimulation. It was shown that the P1 component is more readily recordable in the elderly and is preceded during middle age by the development of a frontal negative component at around the same latency. The changing morphology of the negative activity in the frontal region across the age range suggests that the use of an Fz reference would produce an artificial P1 component in the middle age group and an enhancement of this component in the elderly, as well as enhance the P2 component in all ages.
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Simpson, David Gordon Giles, and dsimpson@swin edu au. "Instrumentation for high spatial resolution of steady state visual evoked potentials." Swinburne University of Technology, 1998. http://adt.lib.swin.edu.au./public/adt-VSWT20060711.123100.

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This thesis reports on several new and innovative instrumentation developments to solve some of the problems of brain activity monitoring, particularly SSVEP (Steady State Visual Evoked Potentials) studies. SSVEP systems generate suitable stimuli and record the resulting brain biopotentials from scalp electrodes. The instrumentation is configured as a 'Neuropsychiatric Workstation', supporting up to 136 scalp electrodes. Operating in the SSVEP mode, the Neuropsychiatric Workstation reported here significantly improves upon the previously reported spatial resolution and accuracy of maps related to the generated stimuli. These maps allows insights to be gained into the cognitive workings of the brain. A significant component of the work reported here covers the development of the multielectrode EEG measurement modules and the associated techniques for minimising interference and cross-talk. The techniques for synchronising recordings from all electrodes with the stimulus, interfacing to a host computer and real-time storage of the very large amounts of data generated to hard disk, are all reported. The SSVEP paradigm uses a sinusoidal-modulated visual stimuli. A novel linearised LED (light emitting diode) head-up display was developed, in addition to more conventional stimuli, such as the alternating checker-board display, all with sinusoidal modulation capability over a range of frequencies. The Neuropsychiatric Workstation described in thesis has been replicated several times and is in regular use at Brain Sciences Institute (BSI) at Swinburne University of Technology, and other collaborative research institutes.
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Lloyd, Robyn School of Optometry &amp Visual Science UNSW. "Achromatic and chromatic VEPs in adults with down syndrome." Awarded by:University of New South Wales. School of Optometry and Visual Science, 2005. http://handle.unsw.edu.au/1959.4/23957.

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Previous studies have found that spatial processing in children and adults with Down syndrome is different in comparison to the normal population. Some previous studies have also found that there is a high prevalence of colour vision deficiencies in people with Down syndrome. The aim of the present study was to use an objective test, the transient visual evoked potential (VEP), to assess achromatic and chromatic visual processing in adults with Down syndrome. Achromatic VEPs were recorded in response to black-white stimuli presented in patternreversal mode. Chromatic VEPs were recorded in response to two types of colour pattern, presented in pattern onset-offset mode. The two colour types were intended to preferentially stimulate the two principal chromatic pathways of the visual system, the ???redgreen??? and ???blue-yellow??? colour-opponent pathways. These stimuli are here termed the ???LM??? and ???S-(L+M) stimuli, respectively, reflecting the cone types that input to the pathways they are intended to stimulate. Each subject also completed two subjective colour vision tests, the Colour Vision Test Made Easy (CVTME) and the City University Colour Vision Test (CUT). Morphology of the achromatic and chromatic VEPs was found to differ between the group with Down syndrome and an age-matched control group. The latency of the P100 component of the achromatic VEP was found to be significantly later in the group with Down syndrome compared to the control group (the N75 latency was earlier in the group with Down syndrome, but not significantly so). The group-averaged peak-to-peak amplitude of the achromatic VEP was significantly lower in the group with Down syndrome compared to the control group. The major positive component of the VEP in response to the L-M stimulus was of significantly longer latency compared to that of the control group. The major negative component and the peak-to-peak amplitude of this response were not significantly different between the groups. For the response to S-(L+M) stimuli, the latency of the major negativity was significantly earlier in the group with Down syndrome and the major positivity was later, but not significantly so. Amplitude of this response was significantly higher in adults with Down syndrome compared to the control group. Most subjects in both groups passed both the CVTME and CUT. Our findings indicate that chromatic VEPs are abnormal in Down syndrome, and this may reflect abnormal processing of chromatic stimuli in this population. Alternatively, these abnormalities may arise due to abnormal cortical morphology, which may occur with normal or abnormal processing of chromatic signals. These findings further indicate that abnormality of chromatic VEPs may be expected in Down syndrome, and is not necessarily indicative of pathology or other abnormal function that is unrelated to the syndrome.
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De, Faria Newton. "A non-invasive visual evoked cortical potential test for detection of early glaucoma damage /." Digital version accessible at:, 1998. http://wwwlib.umi.com/cr/utexas/main.

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Stevens, Jean-Luc Richard. "Spatiotemporal properties of evoked neural response in the primary visual cortex." Thesis, University of Edinburgh, 2018. http://hdl.handle.net/1842/31330.

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Understanding how neurons in the primary visual cortex (V1) of primates respond to visual patterns has been a major focus of research in neuroscience for many decades. Numerous different experimental techniques have been used to provide data about how the spatiotemporal patterns of light projected from the visual environment onto the retina relate to the spatiotemporal patterns of neural activity evoked in the visual cortex, across disparate spatial and temporal scales. However, despite the variety of data sources available (or perhaps because of it), there is still no unified explanation for how the circuitry in the eye, the subcortical visual pathways, and the visual cortex responds to these patterns. This thesis outlines a research project to build computational models of V1 that incorporate observations and constraints from an unprecedented range of experimental data sources, reconciling each data source with the others into a consistent proposal for the underlying circuitry and computational mechanisms. The final mechanistic model is the first one shown to be compatible with measurements of: (1) temporal firing-rate patterns in single neurons over tens of milliseconds obtained using single-unit electrophysiology, (2) spatiotemporal patterns in membrane voltages in cortical tissues spanning several square millimeters over similar time scales, obtained using voltage-sensitive-dye imaging, and (3) spatial patterns in neural activity over several square millimeters of cortex, measured over the course of weeks of early development using optical imaging of intrinsic signals. Reconciling this data was not trivial, in part because single-unit studies suggested short, transient neural responses, while population measurements suggested gradual, sustained responses. The fundamental principles of the resulting models are (a) that the spatial and temporal patterns of neural responses are determined not only by the particular properties of a visual stimulus and the internal response properties of individual neurons, but by the collective dynamics of an entire network of interconnected neurons, (b) that these dynamics account both for the fast time course of neural responses to individual stimuli, and the gradual emergence of structure in this network via activity-dependent Hebbian modifications of synaptic connections over days, and (c) the differences between single-unit and population measurements are primarily due to extensive and wide-ranging forms of diversity in neural responses, which become crucial when trying to estimate population responses out of a series of individual measurements. The final model is the first to include all the types of diversity necessary to show how realistic single-unit responses can add up to the very different population-level evoked responses measured using voltage-sensitive-dye imaging over large cortical areas. Additional contributions from this thesis include (1) a comprehensive solution for doing exploratory yet reproducible computational research, implemented as a set of open-source tools, (2) a general-purpose metric for evaluating the biological realism of model orientation maps, and (3) a demonstration that the previous developmental model that formed the basis of the models in this thesis is the only developmental model so far that produces realistic orientation maps. These analytical results, computational models, and research tools together provide a systematic approach for understanding neural responses to visual stimuli across time scales from milliseconds to weeks and spatial scales from microns to centimeters.
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Jones, Keith Shawn. "AN EVALUATION OF A STEADY-STATE VISUAL EVOKED RESPONSE-BASED CONTROL." University of Cincinnati / OhioLINK, 2000. http://rave.ohiolink.edu/etdc/view?acc_num=ucin971880840.

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Lai, Sui-man, and 賴萃文. "Design of a time-encoded visual stimulation method for brain computer interface based on chromatic transient visual evoked potentials." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2009. http://hub.hku.hk/bib/B43085829.

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Lai, Sui-man. "Design of a time-encoded visual stimulation method for brain computer interface based on chromatic transient visual evoked potentials." Click to view the E-thesis via HKUTO, 2009. http://sunzi.lib.hku.hk/hkuto/record/B43085829.

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Books on the topic "Visual evoked response"

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E, Desmedt John, ed. Visual evoked potentials. Amsterdam: Elsevier, 1990.

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Mallinson, B. R. The diagnostic role of some electrophysiological procedures in dementia. Pretoria: Human Sciences Research Council, 1987.

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Popp, Michael M. Spontanaktivität, Latenzen und Assemblies: Latenzmessungen als Beitrag zur Analyse der Verarbeitung im primären visuellen Cortex. Regensburg: S. Roderer, 1988.

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Rudduck, Gillian Anne. The chromatic visual evoked response as an indication of visual development. Birmingham: Aston University. Department of Vision Sciences, 1993.

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Hobley, Angela Jane. The investigation of the primary response of the flash visual evoked response. Birmingham: Aston University. Department of Vision Sciences, 1988.

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R, Heckenlively John, and Arden Geoffrey B, eds. Principles and practice of clinical electrophysiology of vision. St. Louis: Mosby Year Book, 1991.

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Roelofs, Jan Willem. Verwerking van visuele informatie bij autistische kinderen =: Visual information processing in autistic children. [Netherlands]: J.W. Roelofs, 1987.

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United States. National Aeronautics and Space Administration. Scientific and Technical Information Division. and Langley Research Center, eds. Identification of visual evoked response parameters sensitive to pilot mental state. [Washington, D.C.]: National Aeronautics and Space Administration, Scientific and Technical Information Division, 1988.

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Samuel, Sokol, ed. Electrophysiologic testing in disorders of the retina, optic nerve, and visual pathway. San Francisco, CA: American Academy of Ophthalmology, 1990.

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1943-, Fishman Gerald Allen, ed. Electrophysiologic testing in disorders of the retina, optic nerve, and visual pathway. 2nd ed. San Francisco, CA: Foundation of the American Academy of Ophthalmology, 2001.

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Book chapters on the topic "Visual evoked response"

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Chang, Kang-Ming, Chung-Yi Tsai, and Sih-Huei Chen. "Color Visual Evoked Potential Response for Myopia Subjects." In Intelligent Technologies and Engineering Systems, 187–92. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-6747-2_23.

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Burkitt, G. R., R. B. Silberstein, and A. W. Wood. "The Steady State Visual Evoked Response and Estimates of Phase Velocity." In Biomag 96, 717–20. New York, NY: Springer New York, 2000. http://dx.doi.org/10.1007/978-1-4612-1260-7_175.

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Costa, Joana F. G., Paulo José G. Da Silva, and Antonio Fernando Catelli Infantosi. "Cortical Evoked Response during Dynamic Visual Stimulation on Sitting and Orthostatic Positions." In IFMBE Proceedings, 493–96. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-11128-5_123.

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Busch, C., G. Wilson, C. Orr, and A. Papanicolaou. "Crossmodal Interactions of Auditory Stimulus Presentation on the Visual Evoked Magnetic Response." In Advances in Biomagnetism, 221–24. Boston, MA: Springer US, 1989. http://dx.doi.org/10.1007/978-1-4613-0581-1_42.

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Triakumara, Amalia, Wijana, and Shinta Fitri Boesoirie. "Compatibility of Visual Reinforcement Audiometry (VRA) to Brainstem Evoked Response Audiometry (BERA) in Dr. Hasan Sadikin General Hospital Bandung." In Advances in Health Sciences Research, 169–71. Dordrecht: Atlantis Press International BV, 2023. http://dx.doi.org/10.2991/978-94-6463-280-4_31.

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Petridis, Vassilios, and Athanasios Kehagias. "Classification of Visually Evoked Responses." In Predictive Modular Neural Networks, 109–22. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5555-1_7.

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van Dijk, B. W., and H. Spekreijse. "Localization of the Visually Evoked Response: The Pattern Appearance Response." In Topographic Brain Mapping of EEG and Evoked Potentials, 360–65. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-72658-3_40.

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Huang, Zhongyu, Changde Du, Yingheng Wang, and Huiguang He. "Graph Emotion Decoding from Visually Evoked Neural Responses." In Lecture Notes in Computer Science, 396–405. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-16452-1_38.

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Aine, C., J. George, P. Medvick, S. Supek, E. Flynn, and I. Bodis-Wollner. "Identification of Multiple Sources in Transient Visual Evoked Neuromagnetic Responses." In Advances in Biomagnetism, 193–96. Boston, MA: Springer US, 1989. http://dx.doi.org/10.1007/978-1-4613-0581-1_35.

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Ueno, K., S. Ueno, and H. Weinberg. "Measurements of Visual Evoked MEG Responses Associated with Color Discrimination." In Biomag 96, 896–99. New York, NY: Springer New York, 2000. http://dx.doi.org/10.1007/978-1-4612-1260-7_221.

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Conference papers on the topic "Visual evoked response"

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Albuisson and Alfieri. "Visual Evoked Response : Isoelectric Line And Linear Regression." In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 1992. http://dx.doi.org/10.1109/iembs.1992.589823.

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Albuisson, Eliane, and Rinaldo Alfieri. "Visual evoked response: Isoelectric line and linear regression." In 1992 14th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 1992. http://dx.doi.org/10.1109/iembs.1992.5761941.

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Seiple, William, Mark Kupersmith, Jeremiah Nelson, and Ronald Carr. "Evoked Potential Assessment of Cortical Adaptation." In Noninvasive Assessment of the Visual System. Washington, D.C.: Optica Publishing Group, 1987. http://dx.doi.org/10.1364/navs.1987.mb4.

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The visual evoked response (VEP) is notoriously variable, in part due to adaptation. However, it has not been possible to express adaptation of VEP amplitude in terms of visual thresholds. We have employed a technique which makes it possible to rapidly measure contrast threshold elevations using evoked potential responses. The method can detect threshold elevation caused by as little as 20 sec exposure to faint contrasts of 5% or less. Threshold shifts are demonstrated here in both acuity limits and contrast thresholds. The effect is both orientation and spatial frequency selective. Patients with epilepsy, a disorder which probably reflects disabled cortical inhibition, fail to show this adaptation effect. Drugs which alter the brain dopaminergic system also effect adaptation.
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Nelson, A. V., P. L. Nunez, S. Law, and L. Benavides. "Spatial empirical orthogonal functions of multichannel visual evoked response." In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 1988. http://dx.doi.org/10.1109/iembs.1988.94827.

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Bekdash, Mones, Vijanth S. Asirvadam, and Nidal Kamel. "Visual evoked potentials response to different colors and intensities." In 2015 International Conference on BioSignal Analysis, Processing and Systems (ICBAPS). IEEE, 2015. http://dx.doi.org/10.1109/icbaps.2015.7292227.

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Embrandiri, Sharat S., S. Sai Surya Teja, Ramasubba Reddy M., and Nitin Chandrachoodan. "Effect of stimulation shapes on the Steady-State Visual-Evoked response." In 2015 41st Annual Northeast Biomedical Engineering Conference (NEBEC). IEEE, 2015. http://dx.doi.org/10.1109/nebec.2015.7117158.

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Fonda, S., and P. Baraldi. "A Prototype - Stimulator for Localized Electroperimetry." In Noninvasive Assessment of Visual Function. Washington, D.C.: Optica Publishing Group, 1985. http://dx.doi.org/10.1364/navf.1985.tub4.

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Neuro-ophthalmological diagnostics needs an objective methodology that perimits one to obtain information about the integrity of the peripheral nervous visual pathway. The recording of visual evoked response at retinal or cortical levels by localized stimuli on the retinal periphery has been performed for a long time1 but electrophysiological measurements using the visual evoked potentials (VEP) gives data up to 10° eccentricity only.2
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Craig, Richard, Ravi Vaidyanathan, Christopher James, and Chris Melhuish. "Assessment of human response to robot facial expressions through visual evoked potentials." In 2010 10th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2010). IEEE, 2010. http://dx.doi.org/10.1109/ichr.2010.5686272.

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Zemon, V., J. Camisa, and M. Conte. "Acute and Chronic Effects of Alcohol on Visual Evoked Potentials." In Noninvasive Assessment of the Visual System. Washington, D.C.: Optica Publishing Group, 1986. http://dx.doi.org/10.1364/navs.1986.mc4.

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Recent studies of the visual evoked potential (VEP) have applied techniques of systems analysis in an effort to measure response properties of sub systems within the visual pathways (7,8,9,10). These studies employed a radial spatial pattern and two types of temporal modulation conditions Superimposed and Lateral, which were designed to emphasize local excitatory and lateral inhibitory interactions, respectively. In addition, a set of two-sinusoid signals were employed in order to estimate the filter characteristics of an initial and late stage of linear processing. The data were interpreted in the context of a linear-nonlinear-linear (L1--N--L2) model of visual functioning. Preliminary clinical investigations have shown that these novel VEP measures may be able to diagnose certain types of idiopathic epilepsy (6), and to localize the neural deficits associated with multiple sclerosis (7).
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Heng-Yuan Kuo, George C. Chiu, John K. Zao, Kuan-Lin Lai, Allen Gruber, Yu-Yi Chien, Ching-Chi Chou, et al. "Habituation of steady-state visual evoked potentials in response to high-frequency polychromatic foveal visual stimulation." In 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2013. http://dx.doi.org/10.1109/embc.2013.6609622.

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Reports on the topic "Visual evoked response"

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Albery, William B., and Richard T. Gill. Visual Evoked Response (VER) Detection of Loss of Peripheral Vision. Fort Belvoir, VA: Defense Technical Information Center, December 1990. http://dx.doi.org/10.21236/ada254332.

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Schmidt, D. M., J. S. George, and C. C. Wood. Bayesian analysis of MEG visual evoked responses. Office of Scientific and Technical Information (OSTI), April 1999. http://dx.doi.org/10.2172/334231.

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Parkansky, Ralph E. Temporal Tuning Effects in the Visually Evoked Response,. Fort Belvoir, VA: Defense Technical Information Center, August 1985. http://dx.doi.org/10.21236/ada168219.

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