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Relevant bibliographies by topics / Sensory plasticity

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Academic literature on the topic 'Sensory plasticity'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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Journal articles on the topic "Sensory plasticity"

1

Giasson, Claude J., and Christian Casanova. "Plasticity and Sensory Substitution." Canadian Journal of Optometry 71, no. 4 (August 1, 2009): 39. http://dx.doi.org/10.15353/cjo.71.654.

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Doty, R. W. "Sensory Neurons: Diversity, Development, Plasticity." Archives of Neurology 51, no. 6 (June 1, 1994): 539. http://dx.doi.org/10.1001/archneur.1994.00540180017006.

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Ptito, Maurice, Ron Kupers, Steve Lomber, and Pietro Pietrini. "Sensory Deprivation and Brain Plasticity." Neural Plasticity 2012 (2012): 1–2. http://dx.doi.org/10.1155/2012/810370.

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Calford, M. B. "Dynamic representational plasticity in sensory cortex." Neuroscience 111, no. 4 (June 2002): 709–38. http://dx.doi.org/10.1016/s0306-4522(02)00022-2.

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Ostry, David J., and Paul L. Gribble. "Sensory Plasticity in Human Motor Learning." Trends in Neurosciences 39, no. 2 (February 2016): 114–23. http://dx.doi.org/10.1016/j.tins.2015.12.006.

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Davidoff, R. "Sensory Neurons: Diversity, Development, and Plasticity." Neurology 43, no. 8 (August 1, 1993): 1633. http://dx.doi.org/10.1212/wnl.43.8.1633-d.

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Butko, Nicholas J., and Jochen Triesch. "Learning sensory representations with intrinsic plasticity." Neurocomputing 70, no. 7-9 (March 2007): 1130–38. http://dx.doi.org/10.1016/j.neucom.2006.11.006.

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Frank, Eric. "Sensory Neurons: Diversity, Development and Plasticity." Trends in Neurosciences 16, no. 12 (December 1993): 534–35. http://dx.doi.org/10.1016/0166-2236(93)90201-v.

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Fox, Kevin, Helen Wallace, and Stanislaw Glazewski. "Is there a thalamic component to experience–dependent cortical plasticity?" Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences 357, no. 1428 (December 29, 2002): 1709–15. http://dx.doi.org/10.1098/rstb.2002.1169.

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Sensory deprivation and injury to the peripheral nervous system both induce plasticity in the somatosensory system of adult animals, but in different places. While injury induces plasticity at several locations within the ascending somatosensory pathways, sensory deprivation appears only to affect the somatosensory cortex. Experiments have been performed to detect experience–dependent plasticity in thalamic receptive fields, thalamic domain sizes and convergence of thalamic receptive fields onto cortical cells. So far, plasticity has not been detected with sensory deprivation paradigms that ca

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Desgent, Sébastien, and Maurice Ptito. "Cortical GABAergic Interneurons in Cross-Modal Plasticity following Early Blindness." Neural Plasticity 2012 (2012): 1–20. http://dx.doi.org/10.1155/2012/590725.

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Early loss of a given sensory input in mammals causes anatomical and functional modifications in the brain via a process called cross-modal plasticity. In the past four decades, several animal models have illuminated our understanding of the biological substrates involved in cross-modal plasticity. Progressively, studies are now starting to emphasise on cell-specific mechanisms that may be responsible for this intermodal sensory plasticity. Inhibitory interneurons expressing γ-aminobutyric acid (GABA) play an important role in maintaining the appropriate dynamic range of cortical excitation, i

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Dissertations / Theses on the topic "Sensory plasticity"

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Bennett, David Lawrence Harvey. "Neurotrophins and sensory neuron development and plasticity." Thesis, University of London, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.267645.

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McNair, Nicolas A. "Input-specificity of sensory-induced neural plasticity in humans." Thesis, University of Auckland, 2008. http://hdl.handle.net/2292/3285.

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The aim of this thesis was to investigate the input-specificity of sensory-induced plasticity in humans. This was achieved by varying the characteristics of sine gratings so that they selectively targeted distinct populations of neurons in the visual cortex. In Experiments 1-3, specificity was investigated with electroencephalography using horizontally- and vertically-oriented sine gratings (Experiment 1) or gratings of differing spatial frequency (Experiments 2 & 3). Increases in the N1b potential were observed only for sine gratings that were the same in orientation or spatial frequency as t

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Dunfield, Derek James. "Sensory experience driven network plasticity in the awake developing brain." Thesis, University of British Columbia, 2009. http://hdl.handle.net/2429/13655.

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During embryonic activity‐dependent brain circuit refinement, neurons receiving the same natural sensory input may undergo either long‐term potentiation (LTP) or depression (LTD). While the origin of variable plasticity in vivo is unknown, the type of plasticity induced plays a key role in shaping dynamic neural circuit synaptogenesis and growth. Here, we investigate the effects of natural visual stimuli on functional neuronal firing within the intact and awake developing brain using calcium imaging of 100s of central neurons in the Xenopus retinotectal system. We find that specific patterns o

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Vahdat, Shahabeddin. "Training-induced plasticity in resting-state sensory and motor networks." Thesis, McGill University, 2013. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=114465.

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Research on plasticity in motor systems has for the most part developed separately from work on sensory plasticity, as if training-induced changes to the brain affected each of these systems in isolation. The aim of this thesis is to explore the association between the sensory and motor systems when a new skill is acquired. The experiments reported in this dissertation systematically examine two hypotheses about neuroplasticity: (i) that motor learning changes perceptual function and the function of somatosensory areas of the brain, and (ii) that somatosensory training changes both motor funct

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Ramer, Matthew Stephen. "Sympathetic and sensory neuronal plasticity, peripheral substrates of neuropathic pain." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp03/NQ31950.pdf.

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He, Haiyan. "Molecular mechanisms of synaptic plasticity in adult mammalian sensory cortex." College Park, Md. : University of Maryland, 2007. http://hdl.handle.net/1903/6712.

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Thesis (Ph. D.) -- University of Maryland, College Park, 2007.<br>Thesis research directed by: Biology. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.

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Dolan, Sharron. "Plasticity in the adult rat somatosensory system following sensory deprivation." Thesis, University of Stirling, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.244606.

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Eilers, Wouter. "Sensory pathways of muscle phenotypic plasticity : calcium signalling through CaMKII." Thesis, Manchester Metropolitan University, 2012. http://e-space.mmu.ac.uk/315671/.

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Skeletal muscle can adapt its structure to cope with the mechanical and metabolic stresses placed on it by various amounts and patterns of human movement. The release of calcium into the cytoplasm of muscle fibres is thought to have an important role in these adaptations, yet the calcium-dependent signalling pathways involved haven’t been fully defined. Calcium/calmodulin-dependent protein kinase II (CaMKII) has been presumed to drive mitochondrial biogenesis in skeletal muscle, but this has not been investigated in vivo. The experiments in this thesis aimed to address how CaMKII is activated

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Fasthén, Patrick. "The Virtual Self : Sensory-Motor Plasticity of Virtual Body-Ownership." Thesis, Högskolan i Skövde, Institutionen för biovetenskap, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-10501.

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The distinction between the sense of body-ownership and the sense of agency has attracted considerable empirical and theoretical interest lately. However, the respective contributions of multisensory and sensorimotor integration to these two varieties of body experience are still the subject of ongoing research. In this study, I examine the various methodological problems encountered in the empirical study of body-ownership and agency with the use of novel immersive virtual environment technology to investigate the interplay between sensory and motor information. More specifically, the focus i

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Neumann, Simona. "A-fibre plasticity : phenotype switch and regenerative capacity." Thesis, University College London (University of London), 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.267611.

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Books on the topic "Sensory plasticity"

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Plasticity in sensory systems. Cambridge: Cambridge University Press, 2013.

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Steeves, Jennifer K. E., and Laurence R. Harris, eds. Plasticity in Sensory Systems. Cambridge: Cambridge University Press, 2009. http://dx.doi.org/10.1017/cbo9781139136907.

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Erzurumlu, Reha, William Guido, and Zoltán Molnár, eds. Development and Plasticity in Sensory Thalamus and Cortex. Boston, MA: Springer US, 2006. http://dx.doi.org/10.1007/978-0-387-38607-2.

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International Symposium on Sensorimotor Plasticity (1st 1984 Tel-Aviv, Israel). Sensorimotor plasticity: Theoretical, experimental and clinical aspects : selected/edited proceedings of the first International Symposium on Sensorimotor Plasticity, Tel-Aviv, Israel, 1-4 October 1974. Paris: INSERM, 1986.

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A, Scott Sheryl, ed. Sensory neurons: Diversity, development, and plasticity. New York: Oxford University Press, 1992.

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Scott, Sheryl A. Sensory Neurons: Diversity, Development, and Plasticity. Oxford University Press, USA, 1992.

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Pyza, Elzbieta M., ed. Plasticity in the sensory systems of invertebrates. Frontiers Media SA, 2014. http://dx.doi.org/10.3389/978-2-88919-281-6.

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(Editor), Reha Erzurumlu, William Guido (Editor), and Zoltán Molnár (Editor), eds. Development and Plasticity in Sensory Thalamus and Cortex. Springer, 2006.

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Development and Plasticity in Sensory Thalamus and Cortex. Springer, 2010.

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10

Neural plasticity in adult somatic sensory-motor systems. Boca Raton, FL: Taylor & Francis/CRC Press, 2005.

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Book chapters on the topic "Sensory plasticity"

1

Lehman, Maria Lorena. "Plasticity for growth." In Adaptive Sensory Environments, 68–74. New York : Routledge, 2016.: Routledge, 2016. http://dx.doi.org/10.4324/9781315630519-11.

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Grobstein, Paul, and Kao Liang Chow. "Visual System Development, Plasticity." In Sensory System I, 107–9. Boston, MA: Birkhäuser Boston, 1988. http://dx.doi.org/10.1007/978-1-4899-6647-6_47.

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Miles, Frederick A., and Reuben S. Gellman. "Gaze, Plasticity in the Control of." In Sensory System I, 31–32. Boston, MA: Birkhäuser Boston, 1988. http://dx.doi.org/10.1007/978-1-4899-6647-6_16.

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Kelley, Matthew W., and Jennifer S. Stone. "Development and Regeneration of Sensory Hair Cells." In Auditory Development and Plasticity, 17–48. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-21530-3_2.

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Xerri, C., M. Lacour, and L. Borel. "Multimodal Sensory Substitution Process in Vestibular Compensation." In Post-Lesion Neural Plasticity, 357–70. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-73849-4_32.

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Pallas, Sarah L. "Cross-Modal Plasticity in Sensory Cortex." In The Neocortex, 205–18. Boston, MA: Springer US, 1991. http://dx.doi.org/10.1007/978-1-4899-0652-6_19.

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Rauschecker, J. P. "Auditory Cortical Plasticity and Sensory Substitution." In Neuronal Plasticity: Building a Bridge from the Laboratory to the Clinic, 53–63. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-59897-5_4.

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Shuvalov, Victor F. "Plasticity of Phonotaxis Specificity in Crickets." In Sensory Systems and Communication in Arthropods, 341–44. Basel: Birkhäuser Basel, 1990. http://dx.doi.org/10.1007/978-3-0348-6410-7_60.

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Lakes, Reinhard. "Plasticity of the Nervous System of Orthopterans." In Sensory Systems and Communication in Arthropods, 280–84. Basel: Birkhäuser Basel, 1990. http://dx.doi.org/10.1007/978-3-0348-6410-7_48.

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Sonnier, B. J. "Animal Models of Plasticity and Sensory Substitution." In Electronic Spatial Sensing for the Blind, 359–64. Dordrecht: Springer Netherlands, 1985. http://dx.doi.org/10.1007/978-94-017-1400-6_21.

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Conference papers on the topic "Sensory plasticity"

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Enikov, Eniko T., Juan-Antonio Escareno, and Micky Rakotondrabe. "Image Schema Based Landing and Navigation for Rotorcraft MAV-s." In ASME 2015 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/imece2015-51450.

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To date, most autonomous micro air vehicles (MAV-s) operate in a controlled environment, where the location of and attitude of the aircraft are measured with an infrared (IR) tracking systems. If MAV-s are to ever exit the lab, their flight control needs to become autonomous and based on on-board image and attitude sensors. To address this need, several groups are developing monocular and binocular image based navigation systems. One of the challenges of these systems is the need for exact calibration in order to determine the vehicle’s position and attitude through the solution of an inverse

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Azghadi, Mostafa Rahimi, Omid Kavehei, Said Al-Sarawi, Nicolangelo Iannella, and Derek Abbott. "Novel VLSI implementation for triplet-based spike-timing dependent plasticity." In 2011 Seventh International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP). IEEE, 2011. http://dx.doi.org/10.1109/issnip.2011.6146525.

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Yang, Shengyuan, Scott Siechen, Jie Sun, Akira Chiba, and Taher Saif. "Learning by Tension." In ASME 2007 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2007. http://dx.doi.org/10.1115/sbc2007-176719.

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Memory and learning in animals is mediated by neurotransmission at the synaptic junctions (end point of axons). Neurotransmitters are carried by synaptic vesicles which cluster at the junctions, ready to be dispatched for transmission. The more a synapse is used, higher is the clustering, and higher is the neurotransmission efficiency (plasticity), i.e., the junction “remembers” its use in the near past, and modifies accordingly. This usage dependent plasticity offers the basic mechanism of memory and learning. A central dogma in neuroscience is that, clustering is the result of a complex bioc

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Servetnik, Anton N., and Evgeny P. Kuzmin. "Yield Surface Investigation of Alloys During Model Disk Spin Tests." In ASME 2014 Gas Turbine India Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/gtindia2014-8119.

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Results of quasi-static numerical simulation of spin tests of model disk made from high-temperature forged alloy are presented. To determine stress-strain state of disk during loading finite element analysis is used. Simulation of elastic-plastic strain fields was carried out using incremental theory of plasticity with isotropic hardening. Model sensitivity from Von mises and Tresca yield conditions and hardening conditions was investigated. To identify the material model parameters an experimental approach of rim radial displacement measurement by eddy currents sensor during the load-unload o

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Amarasinghe, Ruslan S., Dharma Wijewickreme, and Hisham T. Eid. "Some Observations on Soil-Pipe Interface Shear Strength in Direct Shear Under Low Effective Normal Stresses and Large Displacements." In 2016 11th International Pipeline Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/ipc2016-64100.

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Experimental work is undertaken at the University of British Columbia (UBC) to study the soil-pipe interface shear strength at levels of shear displacements and effective normal stresses typically encountered in offshore soil-pipe interaction problems. A macro-scale interface direct shear apparatus having a test specimen footprint of 1.72 m × 1.75 m was designed and built for this purpose. The apparatus is capable of testing various soil-pipe interfaces under effective normal stresses in the range of 3 kPa to 6 kPa. A maximum shear displacement of 1.2 m is achievable at rates ranging from 0.1

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Berselli, Giovanni, Rocco Vertechy, Marco Fontana, and Marcello Pellicciari. "An Experimental Assessment of the Thermo-Elastic Response in Acrylic Elastomers and Natural Rubbers for Application on Electroactive Polymer Transducers." In ASME 2014 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/smasis2014-7604.

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Dielectric Elastomers (DEs) are deformable dielectrics, which are currently used as active materials in mechatronic transducers, such as actuators, sensors and generators. Nonetheless, at the present state of the art, the industrial exploitation of DE-based devices is still hampered by the irregular electro-mechanical behavior of the employed materials, also due to the unpredictable effects of environmental changes in real world applications. In many cases, DE transducers are still developed via trial-and-error procedures rather than through a well-structured design practice, one reason being

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Avile´s, F., L. Llanes, A. I. Oliva, J. E. Corona, M. Aguilar-Vega, and M. I. Lori´a-Bastarrachea. "Elasto-Plastic Properties of Thin Gold Films Over Polymeric Substrates." In ASME 2008 International Mechanical Engineering Congress and Exposition. ASMEDC, 2008. http://dx.doi.org/10.1115/imece2008-66319.

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Metallic thin films have been extensively used as coatings, interconnections, sensors and as part of micro and nano-electromechanical devices (MEMS and NEMS). The conventional substrates utilized to deposit those films are normally rigid, such as silicon. However, for applications where the substrate is subjected to significant mechanical strain (e.g. automotive coatings, electronic textiles, bioengineering, etc.) the film-substrate system needs to be flexible and conformable. Compliant polymeric substrates are ideal candidates for such a task. Some interesting mechanical properties not achiev

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