Добірка наукової літератури з теми "MNTB neurons"
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Статті в журналах з теми "MNTB neurons"
Green, Joshua S., and Dan H. Sanes. "Early Appearance of Inhibitory Input to the MNTB Supports Binaural Processing During Development." Journal of Neurophysiology 94, no. 6 (December 2005): 3826–35. http://dx.doi.org/10.1152/jn.00601.2005.
Повний текст джерелаBrew, Helen M., Joshua X. Gittelman, Robert S. Silverstein, Timothy D. Hanks, Vas P. Demas, Linda C. Robinson, Carol A. Robbins, et al. "Seizures and Reduced Life Span in Mice Lacking the Potassium Channel Subunit Kv1.2, but Hypoexcitability and Enlarged Kv1 Currents in Auditory Neurons." Journal of Neurophysiology 98, no. 3 (September 2007): 1501–25. http://dx.doi.org/10.1152/jn.00640.2006.
Повний текст джерелаMüller, Jochen, Daniel Reyes-Haro, Tatjyana Pivneva, Christiane Nolte, Roland Schaette, Joachim Lübke, and Helmut Kettenmann. "The principal neurons of the medial nucleus of the trapezoid body and NG2+ glial cells receive coordinated excitatory synaptic input." Journal of General Physiology 134, no. 2 (July 27, 2009): 115–27. http://dx.doi.org/10.1085/jgp.200910194.
Повний текст джерелаWeatherstone, Jessica H., Conny Kopp-Scheinpflug, Nadia Pilati, Yuan Wang, Ian D. Forsythe, Edwin W. Rubel, and Bruce L. Tempel. "Maintenance of neuronal size gradient in MNTB requires sound-evoked activity." Journal of Neurophysiology 117, no. 2 (February 1, 2017): 756–66. http://dx.doi.org/10.1152/jn.00528.2016.
Повний текст джерелаKadner, Alexander, Randy J. Kulesza, and Albert S. Berrebi. "Neurons in the Medial Nucleus of the Trapezoid Body and Superior Paraolivary Nucleus of the Rat May Play a Role in Sound Duration Coding." Journal of Neurophysiology 95, no. 3 (March 2006): 1499–508. http://dx.doi.org/10.1152/jn.00902.2005.
Повний текст джерелаLeao, Richardson N., Sharon Oleskevich, Hong Sun, Melissa Bautista, Robert E. W. Fyffe, and Bruce Walmsley. "Differences in Glycinergic mIPSCs in the Auditory Brain Stem of Normal and Congenitally Deaf Neonatal Mice." Journal of Neurophysiology 91, no. 2 (February 2004): 1006–12. http://dx.doi.org/10.1152/jn.00771.2003.
Повний текст джерелаMayer, Florian, Otto Albrecht, Anna Dondzillo, and Achim Klug. "Glycinergic inhibition to the medial nucleus of the trapezoid body shows prominent facilitation and can sustain high levels of ongoing activity." Journal of Neurophysiology 112, no. 11 (December 1, 2014): 2901–15. http://dx.doi.org/10.1152/jn.00864.2013.
Повний текст джерелаWu, S. H., and J. B. Kelly. "Physiological properties of neurons in the mouse superior olive: membrane characteristics and postsynaptic responses studied in vitro." Journal of Neurophysiology 65, no. 2 (February 1, 1991): 230–46. http://dx.doi.org/10.1152/jn.1991.65.2.230.
Повний текст джерелаKim, Jun Hee, and Henrique von Gersdorff. "Suppression of spikes during posttetanic hyperpolarization in auditory neurons: the role of temperature, Ih currents, and the Na+-K+-ATPase pump." Journal of Neurophysiology 108, no. 7 (October 1, 2012): 1924–32. http://dx.doi.org/10.1152/jn.00103.2012.
Повний текст джерелаWalcher, Jan, Benjamin Hassfurth, Benedikt Grothe, and Ursula Koch. "Comparative posthearing development of inhibitory inputs to the lateral superior olive in gerbils and mice." Journal of Neurophysiology 106, no. 3 (September 2011): 1443–53. http://dx.doi.org/10.1152/jn.01087.2010.
Повний текст джерелаДисертації з теми "MNTB neurons"
Kim, Dong Eon. "Approche simple et novatrice pour l’évaluation des inondations dans un contexte pauvre en données : solutions alternatives aux MNT haute résolution et aux données locales de précipitation." Thesis, Université Côte d'Azur (ComUE), 2019. http://www.theses.fr/2019AZUR4029.
Повний текст джерелаMany urban cities in Southeast Asia witness severe flooding associated to increasing rainfall intensity and rapid urbanization often due to poor urban planning. Two important inputs required in flood hazard assessment are: (1) high accuracy Digital Elevation Model (DEM), and (2) long rainfall record. High accuracy DEM is both expensive and time consuming to acquire. Long rainfall records for areas of interest are often not available or not sufficiently long to determine the probable extremes. This thesis presents a notably cost-effective and efficient approach to derive high accuracy DEM, and suggests proxies for long rainfall data.DEM data from a publicly accessible satellite, Shuttle Radar Topography Mission (SRTM), and Sentinel 2 multispectral imagery are selected and used to train the Artificial Neural Network (ANN) to improve the quality of the DEM. In the training of ANN, high quality observed DEM is the key leading to a well-trained ANN. The trained ANN will then be ready to efficiently and effectively generate high quality DEM, at low cost, for places where DEM data is not available.The performance of the DEM improvement scheme is evaluated in places of various land-use types (e.g. dense urban city, forested areas), and in different countries (Nice, France; Singapore; Jakarta, Indonesia) through various matrices, e.g. whenever possible visual clarity, scatter plots, Root Mean Square Error (RMSE) and/or drainage networks. The DEM resulting from the latest version of improved SRTM (iSRTM_v2 DEM) shows (1) significantly better than the original SRTM DEM, a 34 % to 57 % RMSE reduction; (2) the visual clarity is so much clearer as well; and (3) much closer drainage network with the actual. The much improved DEM allows flood modelling to proceed with high confidence.Rainfall data resulting from a high spatial resolution Regional Climate Model (RCM), Weather Research and Forecasting driven by ERA-Interim (WRF/ERAI) dataset, is extracted, analyzed, and compared its accuracy with high quality observed rainfall data of Singapore. The comparisons are performed, among others, on their Intensity-Duration-Frequency (IDF) curves, the essential design curves for flood risk assessment; they matched quite well. The rainfall data (from the RCM) are then used as proxies for Greater Jakarta (Indonesia), where no rainfall data made available, to derive the IDF curves required for the flood analysis.MIKE 21 Flow Model Flexible Mesh (MIKE 21 FM) is applied to Greater Jakarta, with input data from the above mentioned much improved DEM and precipitation proxy data, for flood simulations of 2 return periods (50- and 100-years). Finally flood maps are generated. This demonstrates the applications of the approaches/methodologies, proposed in this thesis, on catchments where most essential data for flood risk assessment (high resolution and high accuracy DEM and long and high accuracy rainfall data) are not available.This thesis should be of interest to readers in the areas of remote sensing, artificial intelligence and flood management, especially for the policy makers in proposing relevant flood mitigation measures under climate change with increasing devastating flood damages and casualties