Academic literature on the topic 'Inferior colliculus Computer simulation'
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Journal articles on the topic "Inferior colliculus Computer simulation"
Dean, Paul, John E. W. Mayhew, and Pat Langdon. "Learning and Maintaining Saccadic Accuracy: A Model of Brainstem–Cerebellar Interactions." Journal of Cognitive Neuroscience 6, no. 2 (April 1994): 117–38. http://dx.doi.org/10.1162/jocn.1994.6.2.117.
Full textPeddicord, Richard. "Simulation of ILD sensitive neurons in the inferior colliculus of the barn owl." Hearing Research 123, no. 1-2 (September 1998): 111–24. http://dx.doi.org/10.1016/s0378-5955(98)00102-6.
Full textHoshino, Osamu, and Kazuharu Kuroiwa. "Echo sound detection in the inferior colliculus for human echolocation." Neurocomputing 38-40 (June 2001): 1289–96. http://dx.doi.org/10.1016/s0925-2312(01)00482-9.
Full textYoun, Cha Kyung, Yonghyun Jun, Eu-Ri Jo, and Sung Il Cho. "Age-Related Hearing Loss in C57BL/6J Mice Is Associated with Mitophagy Impairment in the Central Auditory System." International Journal of Molecular Sciences 21, no. 19 (September 29, 2020): 7202. http://dx.doi.org/10.3390/ijms21197202.
Full textSinex, Donal G., Hongzhe Li, and David S. Velenovsky. "Prevalence of Stereotypical Responses to Mistuned Complex Tones in the Inferior Colliculus." Journal of Neurophysiology 94, no. 5 (November 2005): 3523–37. http://dx.doi.org/10.1152/jn.01194.2004.
Full textHewitt, Michael J., and Ray Meddis. "A computer model of amplitude‐modulation sensitivity of single units in the inferior colliculus." Journal of the Acoustical Society of America 95, no. 4 (April 1994): 2145–59. http://dx.doi.org/10.1121/1.408676.
Full textCarlson, Nicole L., Vivienne L. Ming, and Michael Robert DeWeese. "Sparse Codes for Speech Predict Spectrotemporal Receptive Fields in the Inferior Colliculus." PLoS Computational Biology 8, no. 7 (July 12, 2012): e1002594. http://dx.doi.org/10.1371/journal.pcbi.1002594.
Full textHoshino, Osamu, and Kazuharu Kuroiwa. "A neural network model of the inferior colliculus with modifiable lateral inhibitory synapses for human echolocation." Biological Cybernetics 86, no. 3 (March 1, 2002): 231–40. http://dx.doi.org/10.1007/s00422-001-0291-0.
Full textLitovsky, R. Y., and B. Delgutte. "Neural Correlates of the Precedence Effect in the Inferior Colliculus: Effect of Localization Cues." Journal of Neurophysiology 87, no. 2 (February 1, 2002): 976–94. http://dx.doi.org/10.1152/jn.00568.2001.
Full textMyers, Eugene N., Susumu Araki, Atsushi Kawano, H. Lee Seldon, Robert K. Shepherd, Sotaro Funasaka, and Graeme M. Clark. "Effects of intracochlear factors on spiral ganglion cells and auditory brain stem response after long-term electrical stimulation in deafened kittens." Otolaryngology–Head and Neck Surgery 122, no. 3 (March 2000): 425–33. http://dx.doi.org/10.1067/mhn.2000.93863.
Full textDissertations / Theses on the topic "Inferior colliculus Computer simulation"
Gomes, Aline Arcanjo. "Papel da atividade muscular no padrão de marcha de diabéticos neuropatas: um estudo por modelagem computacional." Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/5/5170/tde-04012018-094648/.
Full textMuscle force estimation could support a better understanding of the mechanical and muscular strategies that diabetic patients adopt to preserve walking ability and to guarantee their independence as they deal with their neural and muscular impairments due to diabetes and neuropathy. Our aim was to estimate and compare the lower limb\'s muscle force distribution during gait in diabetic patients with and without diabetic neuropathy. Data from ground reaction force (AMTI OR61000 force plate at 100Hz) and three-dimensional kinematics of ankle, knee and hip (eight-camera Optitrack® at 100 Hz) of 10 neuropathic (DNG), 10 diabetic non-neuropathic (DG) and 10 healthy individuals (CG) were used as input variables for the musculoskeletal model gait 2392 (23 degrees of freedom and 92 musculoskeletal actuators) in the OpenSim software. The standard generic model was scaled to fit the anthropometry of each individual collected, prior to the execution of the simulations. The musculoskeletal model of neuropathic individuals presented maximum isometric force reduced in 30% for ankle extensors and 20% for ankle dorsiflexors to mimic the atrophy of ankle muscles due to diabetic neuropathy. The force time series of lower limb muscles were calculated using the static optimization procedure. The peak muscle forces were calculated during selected time bands of the gait cycle. The peak force was compared between groups using MANOVA for the flexor and extensor muscle groups of hip, knee and ankle joints followed by ANOVA and post-hoc of Newman-Keuls (p < 0.05). DNG showed higher knee flexors peak force (biceps femoris short head / p < 0,001, semitendinous / p < 0,001 and semimenbranous / p < 0,001) during push-off, compared to DG and CG. DNG also presented lower peak force for gastrocnemius medialis and soleus, as well as higher peak force for gastrocnemius lateralis compared to DG and CG in the same gait phase. DG exhibited lower peak force for the hip extensor muscles (semitendinous and semimembranous) in the final swing and hip abductor muscles during stance, as well as higher peak force for the knee extensor muscles (vastus medialis and lateralis / p=0,004) in the early stance compared to DNG and CG. Diabetic patients with and without neuropathy appear to adopt different muscle force distribution strategies in spite of the progressive worsening in their health condition. While reducing ankle extensor forces, DG increased knee extensor muscle forces at early stance and reduced the hamstrings force at the end of swing phase, whereas DNG increased the hamstrings muscle forces at push-off. A resistance training program for the proximal muscles related to the knee joint could be considered in a rehabilitation routine for diabetic patients. Other potential inclusions in rehabilitation protocols consist of gait retraining and practicing functional exercises focusing on the activation of the hamstring muscles
Books on the topic "Inferior colliculus Computer simulation"
Takao, Kumazawa, Kruger Lawrence, and Mizumura Kazue, eds. The polymodal receptor: A gateway to pathological pain. Amsterdam: Elsevier, 1996.
Find full text(Editor), T. Kumazawa, L. Kruger (Editor), and K. Mizumura (Editor), eds. The Polymodal Receptor - A Gateway to Pathological Pain (Progress in Brain Research). Elsevier Science, 1996.
Find full textBook chapters on the topic "Inferior colliculus Computer simulation"
Garson, G. David. "The Role of Information Technology in Quality Education." In Social Dimensions of Information Technology, 177–97. IGI Global, 2000. http://dx.doi.org/10.4018/978-1-878289-86-5.ch011.
Full textConference papers on the topic "Inferior colliculus Computer simulation"
Rodopoulos, Dimitrios, Giorgos Chatzikonstantis, Andreas Pantelopoulos, Dimitrios Soudris, Chris I. De Zeeuw, and Christos Strydis. "Optimal mapping of inferior olive neuron simulations on the Single-Chip Cloud Computer." In 2014 International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation (SAMOS XIV). IEEE, 2014. http://dx.doi.org/10.1109/samos.2014.6893235.
Full textWheaton, Jay D., and Steven W. Day. "Feasibility of Capturing Circulating Tumor Cells With a Magnetized Device." In ASME 2013 Conference on Frontiers in Medical Devices: Applications of Computer Modeling and Simulation. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/fmd2013-16193.
Full textLundberg, Hannah J., and Markus A. Wimmer. "Computational Framework for Determining Patient-Specific Total Knee Arthroplasty Loading." In ASME 2013 Conference on Frontiers in Medical Devices: Applications of Computer Modeling and Simulation. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/fmd2013-16062.
Full textАндреев, Сергей, Sergey Andreev, Николь Бондарева, and Nicole Bondareva. "Constructing Stereo Presentations of Textual Information on an Autostereoscopic Monitor." In 29th International Conference on Computer Graphics, Image Processing and Computer Vision, Visualization Systems and the Virtual Environment GraphiCon'2019. Bryansk State Technical University, 2019. http://dx.doi.org/10.30987/graphicon-2019-2-108-111.
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