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Books on the topic 'Sensory plasticity'

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Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

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

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2

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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3

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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4

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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5

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

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6

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

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7

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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8

(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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9

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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11

I, Berlin Charles, and Weyand Theodore Gordon, eds. The brain and sensory plasticity: Language acquistion and hearing. Clifton Park, NY: Delmar Learning, 2003.

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12

Berlin, Charles I., and Theodore Weyand. The Brain And Sensory Plasticity: Language Acquisition And Hearing. Cengage Delmar Learning, 2003.

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13

Ebner, Ford F. Neural Plasticity in Adult Somatic Sensory-Motor Systems (Frontiers in Neuroscience). CRC, 2004.

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14

Hubscher, Charles, Jeffrey C. Petruska, and Alexander Rabchevsky, eds. Plasticity of primary afferent neurons and sensory processing after spinal cord injury. Frontiers SA Media, 2015. http://dx.doi.org/10.3389/978-2-88919-396-7.

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15

Denes, Gianfranco. Neural Plasticity Across the Lifespan: How the Brain Can Change. Taylor & Francis Group, 2015.

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16

Neural Plasticity Across the Lifespan: How the Brain Can Change. Taylor & Francis Group, 2015.

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17

Wilson, Peter, and Peter J. Snow. Plasticity in the Somatosensory System of Developing and Mature Mammals (Progress in Sensory Physiology). Springer-Verlag Berlin and Heidelberg GmbH & Co. K, 1991.

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18

Heimler, Benedetta, Francesco Pavani, and Amir Amedi. Implications of Cross-Modal and Intramodal Plasticity for the Education and Rehabilitation of Deaf Children and Adults. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190880545.003.0015.

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Exploring the environment without the auditory modality elicits wholesale reorganizations at both the behavioral and the neural levels throughout life. This chapter reviews changes in brain organization and behavior arising from early deafness. It depicts a multifaceted framework in both domains: the performance of deaf persons has been shown to be comparable to, better than, as well as worse than that of hearing participants. They also show brain modifications ascribable both to intramodal (within the visual system) and cross-modal plasticity (the recruitment of the deprived auditory cortex by intact sensory modalities). The authors discuss the implications of these results for sensory rehabilitation and highlight the benefits of multisensory systematic training programs to boost recovery.

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19

Yoshiaki, Iwamura, Rowe Mark, and International Union of Physiological Sciences. Congress, eds. Somatosensory processing: From single neuron to brain imaging. Amsterdam: Harwood Academic Publishers, 2001.

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20

(Editor), Mark Rowe, and Yoshiaki Iwamura (Editor), eds. Somatosensory Processing: From Single Neuron to Brain Imaging. CRC, 2001.

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21

McLachlan, Neil M. Timbre, Pitch, and Music. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780199935345.013.44.

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The perception of a sound’s timbre and pitch may be related to the more basic auditory function of sound recognition. Timbre may be related to the sensory experience (or memory) by which we recognize the source or meaning of a sound, while pitch may involve the recognition and mapping of timbres along a cognitive spatial dimension. Musical dissonance may then result from failure of sound recognition mechanisms, resulting in poor integration of pitch information and heightened arousal in musicians. Neurobiological models of auditory processing that include cortico-ponto-cerebellar and limbic pathways provide an account of the neural plasticity that underpins sound recognition and more complex human musical behaviors.

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22

von Philipsborn, Anne C. Neurobiology. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198797500.003.0003.

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Behavioral neurobiology aims at explaining behavior at the level of neurons and neuronal circuits, based on linking comparative anatomy, and the observation and manipulation of nervous system activity with animal behavior. The numerical simplicity and the presence of identified neurons in insect nervous systems make them outstanding model systems for neurobiology. The insect nervous system has a common ground plan with functionally specialized regions for sensory processing, integration, and motor control. In holometabolous species, the nervous system is restructured during metamorphosis to support new behavior. Different forms of plasticity allow for behavioral adaptations in the adult stage. Neuronal circuits for behavior in Drosophila melanogaster can be effectively analysed with genetic tools, as exemplified for courtship and mating behavior. Recent developments in connectomics and genome editing are expected to further behavioral neurobiology in a broad range of species and permit a comprehensive comparative approach to the neurobiology of behavioral ecology.

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23

Zanto, Theodore P., and Adam Gazzaley. Attention and Ageing. Edited by Anna C. (Kia) Nobre and Sabine Kastner. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199675111.013.020.

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This chapter addresses how normal ageing may affect selective attention, sustained attention, divided attention, task-switching, and attentional capture. It is not clear that all aspects of attention are affected by ageing, especially once changes in bottom-up sensory deficits or generalized slowing are taken into account. It also remains to be seen whether deficits in these abilities are evident when task demands are increased. Age-based declines have been reported during many tasks with low cognitive demands on various forms of attention. Fortunately, the older brain retains plasticity and cognitive training and exercise may help reduce negative effects of age on attention. Although no single theory of cognitive ageing may account for the various age-related changes in attention, many aspects have been taken into account, such as generalized slowing, reduced inhibitory processes, the retention of performance abilities via neural compensation, as well as declines in performance with increased task difficulty.

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24

Mazzolai, Barbara. Growth and tropism. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199674923.003.0009.

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Plants or plant parts, such as roots or leaves, have the capacity of moving by growing in response to external stimuli with high plasticity and morphological adaptation to the environment. This chapter analyses some plant features and how they have been translated in artificial devices and control. A new generation of ICT hardware and software technologies inspired from plants is described, which includes an artificial root-like prototype that moves in soil imitating the sloughing mechanism of cells at the root apex level; as well as innovative osmotic-based actuators that generate movement imitating turgor variation in the plant cells. As future directions, new technologies expected from the study of plants concern energy-efficient actuation systems, chemical and physical microsensors, sensor fusion techniques, kinematics models, and distributed, adaptive control in networked structures with local information and communication capabilities.

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25

(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.

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26

Takao, Kumazawa, Kruger Lawrence, and Mizumura Kazue, eds. The polymodal receptor: A gateway to pathological pain. Amsterdam: Elsevier, 1996.

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