Academic literature on the topic 'Evoked potentials (Electrophysiology)'

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Journal articles on the topic "Evoked potentials (Electrophysiology)"

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Tomberg, C. "Electrophysiology correlates of selective attention: somatosensory evoked potentials." Electroencephalography and Clinical Neurophysiology 95, no. 5 (November 1995): P108. http://dx.doi.org/10.1016/0013-4694(95)92409-s.

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Picton, Terry. "Human Brain Electrophysiology. Evoked Potentials and Evoked Magnetic Fields in Science and Medicine." Journal of Clinical Neurophysiology 7, no. 3 (July 1990): 450–51. http://dx.doi.org/10.1097/00004691-199007000-00010.

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Jeffreys, Aled. "Human Brain Electrophysiology: Evoked Potentials and Evoked Magnetic Fields in Science and Medicine." Trends in Neurosciences 12, no. 10 (January 1989): 413–14. http://dx.doi.org/10.1016/0166-2236(89)90083-0.

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van Dijk, J. G. "Human brain electrophysiology: Evoked potentials and evoked magnetic fields in science and medicine." Journal of the Neurological Sciences 95, no. 1 (January 1990): 113. http://dx.doi.org/10.1016/0022-510x(90)90122-4.

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Hughes, John R. "Human brain electrophysiology. Evoked potentials and evoked magnetic fields in science and medicine." Electroencephalography and Clinical Neurophysiology 73, no. 1 (July 1989): 84. http://dx.doi.org/10.1016/0013-4694(89)90022-9.

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Galloway, N. R. "Human Brain Electrophysiology: Evoked Potentials and Evoked Magnetic Fields in Science and Medicine." British Journal of Ophthalmology 74, no. 4 (April 1, 1990): 255. http://dx.doi.org/10.1136/bjo.74.4.255-a.

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Bromm, B. "Human brain electrophysiology. Evoked potentials and evoked magnetic fields in science and medicine." Pain 39, no. 3 (December 1989): 371–72. http://dx.doi.org/10.1016/0304-3959(89)90058-4.

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Papathanasiou, Eleftherios S., Thomas Cronin, Barry Seemungal, and Jaswinder Sandhu. "Electrophysiological testing in concussion: A guide to clinical applications." Journal of Concussion 2 (January 2018): 205970021881263. http://dx.doi.org/10.1177/2059700218812634.

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The diagnosis of mild traumatic brain injury in concussion is difficult since it is often unwitnessed, the patient’s recall is unreliable and initial clinical examination is often unrevealing, correlating poorly with the extent of brain injury. At present, there are no objective biomarkers of mild traumatic brain injury in concussion. Thus, a sensitive gold standard test is required to enable the effective and safe triage of patients who present to the acute services. As well as triage, objective monitoring of patients’ recovery over time and separate from clinical features that patients may develop following the injury (e.g. depression and migraine) is also needed. In contrast to neuroimaging, which is widely used to investigate traumatic brain injury patients, electrophysiology is readily available, is cheap and there are internationally recognized standardised methodologies. Herein, we review the existing literature on electrophysiological testing in concussion and mild traumatic brain injury; specifically, electroencephalogram, polysomnography, brainstem auditory evoked potentials, electro- and videonystagmography, vestibular evoked myogenic potentials, visually evoked potentials, somatosensory evoked potentials and transcranial magnetic stimulation.
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Миронович, Артем, Artem Mironovich, Сергей Бояринов, and Sergey Boyarinov. "Visual evoked potentials in veterinary ophthalmology: literature review." Russian veterinary journal 2019, no. 5 (October 1, 2019): 23–29. http://dx.doi.org/10.32416/article_5d935e18017700.96578341.

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Diagnosis of causes of blindness in veterinary ophthalmology is an urgent issue. There are a large number of diseases of central and peripheral nervous system, which can lead to partial or complete loss of visual function in animals. Visual evoked potentials (VEP) of brain can be a reliable diagnostic research method to clarify the location of the disfunction and causes of blindness in dogs and cats. Together, the visual evoked potentials and electroretinography complement each other and give a greater idea of electrophysiology of visual process. In this article on the basis of large quantity of information we examine the ways of applying this method and the problems, connected with its use. It is important to understand that the VEP can reveal the functional disturbances of visual way, but does not give the information about the structural changes.
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Thomas, E., PS Sándor, A. Ambrosini, and J. Schoenen. "A Neural Network Model of Sensitization of Evoked Cortical Responses in Migraine." Cephalalgia 22, no. 1 (February 2002): 48–53. http://dx.doi.org/10.1046/j.1468-2982.2002.00309.x.

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Migraine patients show abnormalities of cerebral electrophysiology that manifest themselves mainly during the attack interval. Cortical-evoked potentials of migraineurs fail to habituate to repetitive presentations of visual stimuli, and the amplitude of components of their auditory cortical-evoked potentials have a higher dependence on the stimulus intensities than in healthy subjects. A computer model of a neural network has been developed that is able to reproduce both these neurophysiological dysfunctions. It predicts a positive correlation between the magnitudes of both these dysfunctions. The model also offers an explanation of why mutations in the same ion channel gene with opposite consequences on channel function, e.g. P/Q Ca2+ channels in migraine, may lead to similar electrophysiological abnormalities.
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Dissertations / Theses on the topic "Evoked potentials (Electrophysiology)"

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Li, Jiewei, and 李杰威. "Electroencephalograph feature extraction of somatosensory event related potential (ERP)." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2014. http://hdl.handle.net/10722/206587.

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Background: The event related potential (ERP) is an important electrophysiological response to an internal or external stimulus on human body. In some studies, the ERP-based brain computer interface (BCI) systems were created in visual or auditory modality. However, in these type of BCIs, either the eyes or ears of the users are occupied when they are making a choice. It is not convenient to communicate with others. Thus, a somatosensory ERP based BCI can be developed to overcome this issue. According to this, the analysis of somatosensory ERP features is necessary to evaluate if somatosensory ERP is eligible for BCIs as an input. Objective: 1. To study ERP features and design of P300 experiment. 2. To compare three types of P300 features elicited by three modalities. 3. To produce ERP response by electrical stimuli delivered to different position, and analyze ERP features. Methods: Two experiments were conducted. In experiment 1, three modalities, including visual, auditory and electrical modality, were used to produce P300 response. Experiment 2 only presented electrical stimuli. In experiment 1 two electrical stimuli were presented with different intensities at one location, whereas four electrical stimuli were showed at different location with the same intensity. The amplitude and latency were compared among three modalities, and the ERP topography of experiment 2 was also analyzed. Result and conclusion: Fourteen subjects’ data were analyzed in our study. The amplitude and latency of electrical P300 were similar to auditory ERP. But the ERP of visual modality had the largest amplitude and shortest latency. This result shows that electrical P300 can work as well as auditory P300 in BCIs, but not as good as visual P300. In experiment 2, the latency of electrical ERP occurred around 280 ms, and the amplitude and the topography showed that the largest amplitude was located around Cz electrode. This type of ERP in experiment 2 was considered as P3a, which also can be used in BCI systems.
published_or_final_version
Orthopaedics and Traumatology
Master
Master of Medical Sciences
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Al-Nashi, Hamid Rasheed. "A maximum likelihood method to estimate EEG evoked potentials /." Thesis, McGill University, 1985. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=72016.

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A new method for the estimation of the EEG evoked potential (EP) is presented in this thesis. This method is based on a new model of the EEG response which is assumed to be the sum of the EP and independent correlated Gaussian noise representing the spontaneous EEG activity. The EP is assumed to vary in both shape and latency, with the shape variation represented by correlated Gaussian noise which is modulated by the EP. The latency of the EP is also assumed to vary over the ensemble of responses in a random manner governed by some unspecified probability density. No assumption on stationarity is needed for the noise.
With the model described in state-space form, a Kalman filter is constructed, and the variance of the innovation process of the response measurements is derived. A maximum likelihood solution to the EP estimation problem is then obtained via this innovation process.
Tests using simulated responses show that the method is effective in estimating the EP signal at signal-to-noise ratio as low as -6db. Other tests using real normal visual response data yield reasonably consistent EP estimates whose main components are narrower and larger than the ensemble average. In addition, the likelihood function obtained by our method can be used as a discriminant between normal and abnormal responses, and it requires smaller ensembles than other methods.
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Wetter, Spencer Ryan. "Olfactory psychophysics and electrophysiology in Huntington's Disease /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2003. http://wwwlib.umi.com/cr/ucsd/fullcit?p3083456.

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Pipingas, Andrew, and apipingas@bsi swin edu au. "Steady-state visually evoked potential correlates of object recognition memory." Swinburne University of Technology, 2003. http://adt.lib.swin.edu.au./public/adt-VSWT20050322.171342.

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Object recognition memory (ORM) refers to both recognition of an object and the memory of having seen it before. In humans, ORM has been investigated using functional neuroimaging and electrophysiological techniques with tests of episodic memory retrieval involving recollection of previously studied items. Processes involved in the maintenance of a mental state adopted for the performance of a retrieval task (retrieval mode) appear to involve right frontal neural regions. More transient processes occurring at the time of item recollection (retrieval success) have shown scalp activity over parietal and right frontal regions. This activity is thought to originate in the medial temporal lobes and the underlying right frontal cortex respectively. The aforementioned findings have been derived mainly from studies using verbal stimuli. It is uncertain whether the same neural regions are involved in object recollection. It is also uncertain whether sustained modal and transient item-related activity involve the same or different right frontal regions. In this study, steady-state probe topography (SSPT) was used to investigate both sustained and transient processes involved in the retrieval of abstract pictorial objects from memory. The ability to vary the evaluation period of the steady-state visually evoked potential (SSVEP) allows investigation of cognitive processes occurring over different time scales. Neural regions involved in sustained modal processes were identified by examining the SSVEP values averaged over the duration of a memory retrieval task. Sustained SSVEP effects were observed over right fronto-temporal regions. Neural regions involved in transient retrieval success processes were identified by comparing the transient SSVEP responses to tasks with different memory loads. Comparison of a higher with a lower memory load condition showed SSVEP effects over parieto-temporal and right inferior frontal regions. Larger differences between memory loads gave effects that were larger and more right lateralized. Retrieval mode and retrieval success processes showed SSVEP effects over different right frontal regions. It was also found that, in contrast to the left lateralized parietal ERP response to recollected verbal stimuli, the SSVEP effects produced with abstract pictorial shapes showed a more bilateral pattern. This was considered to reflect the relatively non-verbalizable pictorial nature of the stimuli.
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Hamilton-Bruce, Monica Anne. "Conventional and topographic electroencephalography and somatosensory evoked potential studies in ischaemic stroke." Adelaide, 1998. http://web4.library.adelaide.edu.au/theses/09PH/09phh222.pdf.

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Copies of author's previously published articles inserted. Bibliography: leaves I-LXIV. Assesses the diagnostic and prognostic value of early electroencephalography (EEG) and somatosensory evoked potential studies in cortical and non-cortical ischaemic stroke. Both conventional and topographic/quantitative studies were performed. A parallel study was carried out on healthy volunteers to provide an effective control. Equipment and quantitative EEG (qEEG) variability was also assessed.
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Downey, Ryan Andrew. "Examination of lexical properties during auditory sentence processing using event-related potentials." Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2006. http://wwwlib.umi.com/cr/ucsd/fullcit?p3237582.

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Thesis (Ph. D.)--University of California, San Diego and San Diego State University, 2006.
Title from first page of PDF file (viewed December 13, 2006). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references.
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Hocking, Christopher Anthony, and Christopher Hocking@med monash edu au. "Brain electrical activity and automization." Swinburne University of Technology, 1999. http://adt.lib.swin.edu.au./public/adt-VSWT20051021.110535.

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Novices and experts show distinct differences in the performance of many tasks. Experts may perform a task quickly and accurately with seemingly little attention or effort, whilst novices will perform the same task more slowly and with great effort. The transition from novice to expert performance occurs only after extended practice and has been conceptualized as a transition from controlled to automatic processing, and has been modeled as a reduction in attention or cognitive resources. Alternatively, based on findings relating to learning in the domain of number arithmetic, it has also been modeled as a transition from an algorithmic, or computationally-based process, to the use of memory retrieval. However, relatively few studies have investigated the changes in brain activity associated with such a transition. In this study, the Steady-State Probe Topography technique was used to investigate differences in the topography of the Steady-State Visual Evoked Potential (SSVEP) between an unpracticed and a well-practiced analogue of number arithmetic, Alphabet arithmetic. Subjects showed decreases in response time with practice that followed a power law and were suggestive of automatization. During initial, unpracticed performance of the task, processing of the Alphabet Arithmetic equations was characterised by increased SSVEP amplitude and decreased latency in frontal regions, whilst after extended practice, performance was characterised by reduced SSVEP amplitude and increased latency. It is suggested that the frontal activity during the initial, unpracticed stage of the task implicates a role for working memory, whilst the amplitude decrease and latency increase observed in the well-practiced task may reflect a reduction in excitation, consistent with ideas of an improvement in brain efficiency, and possibly an increase in inhibitory processes.
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Hu, Li, and 胡理. "Chasing evoked potentials: novel approaches to identify brain EEG responses at single-trial level." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2010. http://hub.hku.hk/bib/B45589203.

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Lam, Shing-chun Benny, and 林成俊. "Fast signal processing techniques for surface somatosensory evoked potentials measurement." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2003. http://hub.hku.hk/bib/B29246404.

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Carey, Marc Brandon. "Brainstem auditory evoked potentials in anuran amphibians." PDXScholar, 1992. https://pdxscholar.library.pdx.edu/open_access_etds/4267.

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In this study, I looked at the effects of sound level, temperature and dehydration/hypernatremia on the brainstem auditory evoked potential (BAEP) of four species of anuran amphibians (Rana pipiens, Rana catesbeiana, Bufo americanus and Bufo terrestris). The BAEP was used because it allowed me to monitor both the peripheral and central aspects of auditory nervous function simultaneously and over a long period of time.
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Books on the topic "Evoked potentials (Electrophysiology)"

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Q, Cracco Roger, and Bodis-Wollner Ivan, eds. Evoked potentials. New York: Liss, 1986.

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Technologists, American Society of Electroneurodiagnostic. Evoked potentials: Concepts and somatosensory. 2nd ed. Carroll, IA: American Society of Electroneurodiagnostic Technologists, 1998.

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D, Rugg M., and Coles Michael G. H, eds. Electrophysiology of mind: Event-related brain potentials and cognition. Oxford: Oxford University Press, 1995.

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Spehlmann, Rainer. Evoked potential primer: Visual, auditory, and somatosensory evoked potentials in clinical diagnosis. Boston: Butterworth, 1985.

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W, Rohrbaugh John, Parasuraman R, and Johnson Ray 1948-, eds. Event-related brain potentials: Basic issues and applications. New York: Oxford University Press, 1990.

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Colin, Barber, and Blum Thomas Ph D, eds. Evoked potentials III. Boston: Butterworths, 1987.

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W, Picton T., ed. Human event-related potentials. Amsterdam: Elsevier, 1988.

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Miller, Robert, 1943 Aug. 29-, ed. Time and the brain. Amsterdam: Harwood Academic, 2000.

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1953-, Heinze H. J., Münte T. F. 1960-, and Mangun G. R. 1956-, eds. Cognitive electrophysiology. Boston: Birkhäuser, 1994.

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1969-, De Haan Michelle, ed. Infant EEG and event-related potentials. Hove: Psychology Press, 2007.

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Book chapters on the topic "Evoked potentials (Electrophysiology)"

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Creel, Donnell, and Minzhong Yu. "Visually Evoked Potentials." In Handbook of Clinical Electrophysiology of Vision, 19–28. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30417-1_2.

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Daube, Jasper R. "Electrophysiologic Monitoring of Neural Function during Surgery." In Advanced Evoked Potentials, 241–69. Boston, MA: Springer US, 1989. http://dx.doi.org/10.1007/978-1-4684-9007-7_10.

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Akay, Ahmet. "Evoked Potentials." In Electrophysiology - From Plants to Heart. InTech, 2012. http://dx.doi.org/10.5772/33368.

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"Visual Evoked Potentials in Worsening Vision." In Clinical Electrophysiology, 108–9. Oxford, UK: Wiley-Blackwell, 2010. http://dx.doi.org/10.1002/9781444322972.ch41.

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Bromfield, Edward B. "Electrophysiology: Electroencephalography and Evoked Potentials." In Office Practice of Neurology, 187–97. Elsevier, 2003. http://dx.doi.org/10.1016/b0-44-306557-8/50022-8.

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"Brainstem Auditory Evoked Potentials-In Worsening Hearing." In Clinical Electrophysiology, 110–11. Oxford, UK: Wiley-Blackwell, 2010. http://dx.doi.org/10.1002/9781444322972.ch42.

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"Visual Evoked Potentials Standard." In Principles and Practice of Clinical Electrophysiology of Vision. The MIT Press, 2006. http://dx.doi.org/10.7551/mitpress/5557.003.0033.

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"Somatosensory Evoked Potentials in Midbrain Lesion-Absent Cortical Responses." In Clinical Electrophysiology, 98–99. Oxford, UK: Wiley-Blackwell, 2010. http://dx.doi.org/10.1002/9781444322972.ch36.

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Walmsley, Bruce. "Quantal analysis of synaptic transmission." In Electrophysiology, 109–42. Oxford University PressOxford, 1993. http://dx.doi.org/10.1093/oso/9780199633487.003.0006.

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Abstract 1. Introduction Our understanding of the mechanisms underlying synaptic transmission owes much to the early mcasurcmenls and analysis of evoked and spontaneous synaptic potentials at neuromuscular junctions (1).
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"Visual Evoked Potentials in Animals." In Principles and Practice of Clinical Electrophysiology of Vision. The MIT Press, 2006. http://dx.doi.org/10.7551/mitpress/5557.003.0108.

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Conference papers on the topic "Evoked potentials (Electrophysiology)"

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Dagnelie, Gislin, and John Maier. "Visually Evoked Potentials to motion onset-offset: an alternative tool for clinical electrophysiology?" In Noninvasive Assessment of the Visual System. Washington, D.C.: Optica Publishing Group, 1987. http://dx.doi.org/10.1364/navs.1987.mb3.

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Visually Evoked Potentials can provide valuable information concerning pathology at various stages along the visual pathway, and have thus gained acceptance as diagnostic tools in ophthalmology and neurology. Unfortunately, their applicability has sometimes been questioned due to inconsistencies in results reported by various laboratories. Standardization of stimuli and of recording procedures have been instrumental in the reduction of such inconsistencies, but relatively large interindividual variations, even in normal observers, still occurs and remains a limiting factor for the diagnostic value of VEPs.
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Longbotham, Harold G., and Randolph D. Glickman. "Analysis of Visual Evoked Potential Using Generalized Order Statistic Filters." In Noninvasive Assessment of the Visual System. Washington, D.C.: Optica Publishing Group, 1991. http://dx.doi.org/10.1364/navs.1991.md20.

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Electrophysiology provides a means for obtaining an objective measure of neural function, as well as an indicator of nervous system pathology. In the case of the visual system, noninvasive electrophysiology commonly utilizes recording the potentials evoked by visual stimuli from various points along the optic tract. Although the flash electroretinogram may be well over 150 microvolts in amplitude, the steady-state visual evoked potential (ssVEP), elicited from the visual cortex by counterphased, patterned stimuli, is usually much lower--on the order of 1 to 10 microvolts. In the clinic, the response recorded from patients may be of even lower amplitude due to the underlying disease process. In addition, the pathology may change the nature of the ambient noise, as well as making the patient less amenable to the recording process. All of these factors interfere with the use of the ssVEP in electrodiagnosis. Clearly, techniques which improve the analysis of evoked potential data will be welcomed by the clinical electrophysiologist. We have found that the generalized order statistic (GOS) filters can be used to analyze ssVEP data, reducing the length of recording time required to acquire the signal, and improving the signal to noise ratio by removing transient and impulsive noise from the biological data. The principles and practice for the use of generalized order statistic filters will be outlined below.
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Dagnelie, Gislin. "Adaptive filter model for striate cortical processing of spatial information." In OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1986. http://dx.doi.org/10.1364/oam.1986.thn8.

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Since the introduction of sine wave gratings in electrophysiology [Campbell and Green, J. Physiol. 181, 573 (1965)], properties of spatial visual processing have been investigated and expressed in terms of spatial frequency channels. Such channels have also been found in human psycho­physics, leading to models of spatial vision such as that of Wilson and Bergen [Vision Res. 19, 19 (1979)]. The physiological substrate of such models in man is unknown but is generally thought to be situated early along the visual pathway. To test the nature of spatial frequency processing in striate visual cortex in primates, visually evoked potentials were recorded subdurally in alert rhesus monkeys. Two-dimensional (checkerboard) stimuli, in which spatial frequency components could be modulated independently, were presented. Our data show that neuronal responses to modulation of one spatial frequency component are highly dependent on the presence of (stationary or modulated) components with spatial frequencies at intervals up to two octaves. These interactions occur both for transient and for steady-state stimuli and are mutual, although not symmetric. They can best be modeled as mutual adaptations of localized spatial filters; a few populations of such filters, with bandwidths of 1–2 octaves, could account for the data.
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Mattern-Schain, Samuel I., Mary-Anne Nguyen, Tayler M. Schimel, James Manuel, Joshua Maraj, Donald Leo, Eric Freeman, Scott Lenaghan, and Stephen A. Sarles. "Totipotent Cellularly-Inspired Materials." In ASME 2019 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/smasis2019-5745.

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Abstract This work draws inspiration from totipotent cellular systems to design smart materials whose compositions and properties can be learned or evolved. Totipotency refers to the inherent genetic potential of a single cell to adapt and produce all types of differentiated cells within an organism. To study this principal and apply it synthetically, tissue-like compartmentalized assemblies are constructed via lipid membrane-separated aqueous droplets in a hydrophobic medium through the droplet interface bilayer (DIB) method. Within our droplets, we explore synthetic totipotency via cell-free reactions including actin polymerization and cell free protein synthesis (CFPS). The transcription and translation of our CFPS reactions are controlled by stimuli-responsive riboswitches (RS). Via this scheme, adaptable material properties and functions are achieved in vitro via protein production from cell-free machinery administered through RS governance. Here, we present thermally or chemically-triggered riboswitches for orthogonal production of representative fluorescent protein products, as well functional proteins. To characterize the material properties of target proteins, we study the formation of polymerized actin shells to stabilize organically-encased droplets and span DIBs. We present a modified protocol for chemically-triggered actin polymerization as well as a thermally triggered actin RS. We characterize theophylline (TP)-triggered production of alpha hemolysin (α-HL) through CFPS and synthesized an organic-soluble trigger that can be sensed from the oil phase by a RS in an aqueous bioreactor droplet. We also demonstrate increased droplet conductivity when CFPS α-HL products are incorporated in DIBs. This interdisciplinary work involves cell culture, gene expression, organic synthesis, vesicle formation, protein quantification, tensiometry, droplet aspiration, microplate fluorescence/absorption experiments, fluorescent microscopy, and electrophysiology. This project is an essential design analysis for creating smart, soft materials using synthetic biology and provides motivation for artificial tissues capable of adapting in response to external stimuli.
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