Academic literature on the topic 'Temporal summation'
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Journal articles on the topic "Temporal summation"
Krakau, C. E. T. "Temporal Summation and Perimetry." Ophthalmic Research 21, no. 1 (1989): 49–55. http://dx.doi.org/10.1159/000266767.
Full textA. Gescheider, George, Marian E. Berryhill, Ronald T. Verrillo, and Stanley J. Bolanowski. "Vibrotactile temporal summation: probability summation or neural integration?" Somatosensory & Motor Research 16, no. 3 (January 1999): 229–42. http://dx.doi.org/10.1080/08990229970483.
Full textGerken, George M., Vishwa K. H. Bhat, Margaret Hutchison‐Clutter, and Karen L. Donnelly. "Auditory temporal summation in humans." Journal of the Acoustical Society of America 80, S1 (December 1986): S93. http://dx.doi.org/10.1121/1.2024049.
Full textGhoul, Asila, Marla M. Holt, Colleen Reichmuth, and David Kastak. "Auditory temporal summation in pinnipeds." Journal of the Acoustical Society of America 125, no. 4 (April 2009): 2676. http://dx.doi.org/10.1121/1.4784213.
Full textCuratolo, M., S. Petersen-Felix, L. Arendt-Nielsen, M. Fischer, and A. M. Zbinden. "Temporal summation during extradural anaesthesia." British Journal of Anaesthesia 75, no. 5 (November 1995): 634–35. http://dx.doi.org/10.1093/bja/75.5.634.
Full textMulligan, J. B., and M. T. Trujillo. "Temporal summation in trajectory perception." Journal of Vision 6, no. 6 (March 18, 2010): 1082. http://dx.doi.org/10.1167/6.6.1082.
Full textCURATOLO, M., S. PETERSEN-FELIX, L. ARENDT-NIELSEN, and A. M. ZBINDEN. "Temporal summation after spinal anaesthesia." European Journal of Anaesthesiology 14, no. 1 (January 1997): 88–89. http://dx.doi.org/10.1097/00003643-199701000-00054.
Full textSimpson, William A. "Temporal summation of visual motion." Vision Research 34, no. 19 (October 1994): 2547–59. http://dx.doi.org/10.1016/0042-6989(94)90241-0.
Full textSharpe, L. T., C. Fach, and K. Nordby. "Temporal summation in the achromat." Vision Research 28, no. 11 (January 1988): 1263–69. http://dx.doi.org/10.1016/0042-6989(88)90042-9.
Full textJørum, E., E. Holm, L. Lundberg, and H. E. Torebjbrk. "Temporal summation in nociceptive systems." Pain 41 (January 1990): S314. http://dx.doi.org/10.1016/0304-3959(90)92743-a.
Full textDissertations / Theses on the topic "Temporal summation"
Mulholland, Padraig Joseph. "Temporal summation with age and in glaucoma." Thesis, Ulster University, 2014. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.650307.
Full textPersanyi, Mary Wylie. "Individual differences in spatial frequency-dependent visible persistence: The role of temporal summation." Case Western Reserve University School of Graduate Studies / OhioLINK, 1995. http://rave.ohiolink.edu/etdc/view?acc_num=case1057952547.
Full textSubramanian, Vidhya. "The Spatial And Temporal Characteristics Of Blur Adaptation." The Ohio State University, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=osu1230923311.
Full textFeng, Jian Qiang /. Sam, and S3069785@student rmit edu au. "The Effect of Acupuncture on Temporal Summation of Pain: A Randomised, Double-Blind, Sham-Controlled Study." RMIT University. Health Sciences, 2008. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20080723.115945.
Full textPereira, Manuel Pedro Fernandes Lobo. "Influence of diffuse noxious inhibitory control, temporal summation and expectation on pain perception in healthy volunteers." Dissertação, Instituto de Ciências Biomédicas Abel Salazar, 2010. http://hdl.handle.net/10216/62202.
Full textPereira, Manuel Pedro Fernandes Lobo. "Influence of diffuse noxious inhibitory control, temporal summation and expectation on pain perception in healthy volunteers." Master's thesis, Instituto de Ciências Biomédicas Abel Salazar, 2010. http://hdl.handle.net/10216/62202.
Full textDarchuk, Kathleen M. "Psychophysiological and Psychological Correlates of Pericranial Allodynia and Affective Distress in Young Adult Females." Ohio University / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1185823589.
Full textPetersson, Marcus. "Beyond AMPA and NMDA: Slow synaptic mGlu/TRPC currents : Implications for dendritic integration." Licentiate thesis, KTH, Computational Biology, CB, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-24833.
Full textIn order to understand how the brain functions, under normal as well as pathological conditions, it is important to study the mechanisms underlying information integration. Depending on the nature of an input arriving at a synapse, different strategies may be used by the neuron to integrate and respond to the input. Naturally, if a short train of high-frequency synaptic input arrives, it may be beneficial for the neuron to be equipped with a fast mechanism that is highly sensitive to inputs on a short time scale. If, on the contrary, inputs arriving with low frequency are to be processed, it may be necessary for the neuron to possess slow mechanisms of integration. For example, in certain working memory tasks (e. g. delay-match-to-sample), sensory inputs may arrive separated by silent intervals in the range of seconds, and the subject should respond if the current input is identical to the preceeding input. It has been suggested that single neurons, due to intrinsic mechanisms outlasting the duration of input, may be able to perform such calculations. In this work, I have studied a mechanism thought to be particularly important in supporting the integration of low-frequency synaptic inputs. It is mediated by a cascade of events that starts with activation of group I metabotropic glutamate receptors (mGlu1/5), and ends with a membrane depolarization caused by a current that is mediated by canonical transient receptor potential (TRPC) ion channels. This current, denoted ITRPC, is the focus of this thesis.
A specific objective of this thesis is to study the role of ITRPC in the integration of synaptic inputs arriving at a low frequency, < 10 Hz. Our hypothesis is that, in contrast to the well-studied, rapidly decaying AMPA and NMDA currents, ITRPC is well-suited for supporting temporal summation of such synaptic input. The reason for choosing this range of frequencies is that neurons often communicate with signals (spikes) around 8 Hz, as shown by single-unit recordings in behaving animals. This is true for several regions of the brain, including the entorhinal cortex (EC) which is known to play a key role in producing working memory function and enabling long-term memory formation in the hippocampus.
Although there is strong evidence suggesting that ITRPC is important for neuronal communication, I have not encountered a systematic study of how this current contributes to synaptic integration. Since it is difficult to directly measure the electrical activity in dendritic branches using experimental techniques, I use computational modeling for this purpose. I implemented the components necessary for studying ITRPC, including a detailed model of extrasynaptic glutamate concentration, mGlu1/5 dynamics and the TRPC channel itself. I tuned the model to replicate electrophysiological in vitro data from pyramidal neurons of the rodent EC, provided by our experimental collaborator. Since we were interested in the role of ITRPC in temporal summation, a specific aim was to study how its decay time constant (τdecay) is affected by synaptic stimulus parameters.
The hypothesis described above is supported by our simulation results, as we show that synaptic inputs arriving at frequencies as low as 3 - 4 Hz can be effectively summed. We also show that τdecay increases with increasing stimulus duration and frequency, and that it is linearly dependent on the maximal glutamate concentration. Under some circumstances it was problematic to directly measure τdecay, and we then used a pair-pulse paradigm to get an indirect estimate of τdecay.
I am not aware of any computational model work taking into account the synaptically evoked ITRPC current, prior to the current study, and believe that it is the first of its kind. We suggest that ITRPC is important for slow synaptic integration, not only in the EC, but in several cortical and subcortical regions that contain mGlu1/5 and TRPC subunits, such as the prefrontal cortex. I will argue that this is further supported by studies using pharmacological blockers as well as studies on genetically modified animals.
QC 20101005
Peytard, Juliette Maria Bérénice [Verfasser]. "Verstärkung elektrisch ausgelöster Reizantworten des M. tibialis anterior durch temporale Summation nach ipsilateraler Stimulation des N. suralis beim Menschen / Juliette Maria Bérénice Peytard." Halle, Saale : Universitäts- und Landesbibliothek Sachsen-Anhalt, 2011. http://d-nb.info/1025230809/34.
Full textYou, Dokyoung Sophia. "The Impact of Adverse Childhood Events on Temporal Summation of Second Pain." Thesis, 2012. http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-11796.
Full textBooks on the topic "Temporal summation"
Blumenthal, Terry D. Developmental differences in the temporal summation of transient and sustained auditory stimuli. 1985.
Find full textZoran, Bujas, ed. Repetitive electric stimulation of the tongue and temporal summation in taste =: Isprekidano električno podraživanje jezika i vremensko zbrajanje u području okusa. Zagreb: Jugoslavenska akademija znanosti i umjetnosti, 1987.
Find full textMason, Peggy. Electrical Communication Within a Neuron. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190237493.003.0010.
Full textBook chapters on the topic "Temporal summation"
Hawken, Michael J., Robert M. Shapley, Michael P. Sceniak, Dario L. Ringach, and Elizabeth N. Johnson. "Contrast Gain, Area Summation and Temporal Tuning in Primate Visual Cortex." In Vision and Attention, 41–62. New York, NY: Springer New York, 2001. http://dx.doi.org/10.1007/978-0-387-21591-4_3.
Full textTaylor, B. A., M. E. Fennelly, A. Taylor, and J. Farrell. "Temporal summation and motor evoked potential spinal cord monitoring in man." In Handbook of Spinal Cord Monitoring, 368–75. Dordrecht: Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-011-1416-5_53.
Full textKharlamov, Alexander A., and Vladimir V. Raevsky. "Networks constructed of neuroid elements capable of temporal summation of signals." In Neural Information Processing: Research and Development, 56–76. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-39935-3_4.
Full textTam, David C., and Michelle A. Fitzurka. "Inter-Arrival Time Spike Train Analyses for Detecting Spatial and Temporal Summation in Neurons." In Computational Neuroscience, 189–95. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4757-9800-5_31.
Full text"Temporal Summation (Windup)." In Encyclopedia of Pain, 3853. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-28753-4_202247.
Full text"Abnormal Temporal Summation." In Encyclopedia of Pain, 3. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-28753-4_200009.
Full textVERHEY, JESKO L., and BIRGER KOLLMEIER. "TEMPORAL ASPECTS OF LOUDNESS SUMMATION." In Psychophysics, Physiology and Models of Hearing, 97–100. WORLD SCIENTIFIC, 1999. http://dx.doi.org/10.1142/9789812818140_0020.
Full textCohn, T. E. "Spatial and temporal summation in human vision." In Vision, 376–85. Cambridge University Press, 1991. http://dx.doi.org/10.1017/cbo9780511626197.035.
Full textMurzac, Adrian, Angel Vassilev, and Margarita B. Zlatkova. "Temporal Summation of S-Cone Signals: Dependence of the Critical Duration on the Signal Polarity." In Proceedings of EuroCogSci 03, 422. Routledge, 2019. http://dx.doi.org/10.4324/9781315782362-125.
Full textÇetingül, H. Ertan, Engin Erzin, Yücel Yemez, and A. Murat Tekalp. "Multimodal Speaker Identification Using Discriminative Lip Motion Features." In Visual Speech Recognition, 463–94. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-60566-186-5.ch016.
Full textConference papers on the topic "Temporal summation"
Marin, T., M. N. Wernick, Yongyi Yang, and J. G. Brankov. "Motion-compensated temporal summation of cardiac gated SPECT images using a deformable mesh model." In 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2009. http://dx.doi.org/10.1109/iembs.2009.5333693.
Full textZahi, Gabriel, and Shigang Yue. "Reducing motion blurring associated with temporal summation in low light scenes for image quality enhancement." In 2014 International Conference on Multisensor Fusion and Information Integration for Intelligent Systems (MFI). IEEE, 2014. http://dx.doi.org/10.1109/mfi.2014.6997725.
Full textPettersen, Pernille Steen, Tuhina Neogi, Karin Magnusson, Hilde Berner Hammer, Tore K. Kvien, Till Uhlig, and Ida Kristin Haugen. "THU0454 CONDITIONED PAIN MODULATION AND TEMPORAL SUMMATION IN PERSONS WITH HAND OSTEOARTHRITIS AND ASSOCIATIONS WITH PAIN SEVERITY." In Annual European Congress of Rheumatology, EULAR 2019, Madrid, 12–15 June 2019. BMJ Publishing Group Ltd and European League Against Rheumatism, 2019. http://dx.doi.org/10.1136/annrheumdis-2019-eular.4186.
Full textChen, Hongyu, Jingyu Wang, and Dongyuan Shi. "Spatial-Temporal Correlation-Concerned Measurement Manipulation Detection Based on Gramian Angular Summation Field and Convolutional Neural Networks." In 2021 IEEE 4th International Electrical and Energy Conference (CIEEC). IEEE, 2021. http://dx.doi.org/10.1109/cieec50170.2021.9510750.
Full textSubbarayalu, Sethuramalingam, and Lonny L. Thompson. "HP-Adaptive Time-Discontinuous Galerkin Finite Element Methods for Time-Dependent Waves." In ASME 2004 International Mechanical Engineering Congress and Exposition. ASMEDC, 2004. http://dx.doi.org/10.1115/imece2004-60403.
Full textPhan, Hien M., and Li He. "Efficient Steady and Unsteady Flow Modeling for Arbitrarily Mis-Staggered Bladerow Under Influence of Inlet Distortion." In ASME Turbo Expo 2020: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/gt2020-16204.
Full textBorboni, Alberto, Matteo Lancini, and Rodolfo Faglia. "Residual Vibration Reduction With Commanded Motion Optimization." In ASME 2014 12th Biennial Conference on Engineering Systems Design and Analysis. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/esda2014-20071.
Full textLiu, Yongzan, Ge Jin, Kan Wu, and George Moridis. "Quantitative Hydraulic-Fracture Geometry Characterization with LF-DAS Strain Data: Numerical Analysis and Field Applications." In SPE Hydraulic Fracturing Technology Conference and Exhibition. SPE, 2021. http://dx.doi.org/10.2118/204158-ms.
Full textHuckvale, Mark. "Neural Network Architecture That Combines Temporal and Summative Features for Infant Cry Classification in the Interspeech 2018 Computational Paralinguistics Challenge." In Interspeech 2018. ISCA: ISCA, 2018. http://dx.doi.org/10.21437/interspeech.2018-1959.
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