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Books on the topic 'Quantitative Neuroscience'

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Author: Grafiati
Published: 11 March 2023

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1

Pardalos, P. M., J. C. Sackellares, P. R. Carney, and L. D. Iasemidis, eds. Quantitative Neuroscience. Boston, MA: Springer US, 2004. http://dx.doi.org/10.1007/978-1-4613-0225-4.

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2

Ellis, Carson Richard, Daube-Witherspoon Margaret E, and Herscovitch Peter, eds. Quantitative functional brain imaging with positron emission tomography. San Diego, Calif: Academic Press, 1998.

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3

Tranquillo, Joseph Vincent. Quantitative neurophysiology. San Rafael, Calif. (1537 Fourth St, San Rafael, CA 94901 USA): Morgan & Claypool Publishers, 2008.

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4

Plonsey, Robert. Bioelectricity: A Quantitative Approach. Boston, MA: Springer US, 2000.

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5

Habib, Zaidi, ed. Quantitative analysis of nuclear medicine images. New York: Springer, 2005.

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6

Evans, Stephen M., Ann Marie Janson, and Jens Randel Nyengaard. Quantitative Methods in Neuroscience: A Neuroanatomical Approach. Oxford University Press, 2004.

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7

(Editor), Stephen M. Evans, Ann Marie Janson (Editor), and Jens Randel Nyengaard (Editor), eds. Quantitative Methods in Neuroscience: A Neuroanatomical Approach. Oxford University Press, USA, 2004.

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8

Quantitative neuroscience: Models, algorithms, diagnostics, and therapeutic applications. Boston: Kluwer Academic, 2004.

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9

Pardalos, P. M. Quantitative Neuroscience: Models, Algorithms, Diagnostics, and Therapeutic Applications. Springer, 2011.

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10

Pardalos, P. M. Quantitative Neuroscience: Models, Algorithms, Diagnostics, and Therapeutic Applications. Springer London, Limited, 2013.

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11

Pardalos, P. M. Quantitative Neuroscience: Models, Algorithms, Diagnostics, and Therapeutic Applications. Springer, 2013.

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12

Conn, P. Michael, Johannes D. Veldhuis, and Michael L. Johnson. Quantitative Neuroendocrinology. Elsevier Science & Technology Books, 1995.

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13

Quantitative Neuroscience: Models, Algorithms, Diagnostics, and Therapeutic Applications (Biocomputing). Springer, 2004.

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14

(Editor), P. Michael Conn, Michael L. Johnson (Editor), and Johannes D. Veldhuis (Editor), eds. Quantitative Neuroendocrinology, Volume 28 (Methods in Neurosciences). Academic Press, 1995.

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15

Conn, P. Michael. Methods in Neurosciences: Quantitative and Qualitative Microscopy. Elsevier Science & Technology Books, 2016.

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16

Quantitative and Qualitative Microscopy (Methods in Neurosciences). Academic Pr, 1990.

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17

Barr, Roger C., and Robert Plonsey. Bioelectricity: A Quantitative Approach. Springer, 2014.

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18

Conn, P. Michael. Quantitative and Qualitative Microscopy (Methods in Neurosciences, Vol 3). Academic Pr, 1990.

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19

Barr, Roger C., and Robert Plonsey. Bioelectricity: A Quantitative Approach. Springer, 2013.

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20

Barr, Roger C., and Robert Plonsey. Bioelectricity: A Quantitative Approach. Springer London, Limited, 2007.

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21

Barr, Roger C., and Robert Plonsey. Bioelectricity: A Quantitative Approach. Springer London, Limited, 2013.

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22

Bioelectricity: A Quantitative Approach. Springer, 2007.

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23

Domhoff, G. William. The Neurocognitive Theory of Dreaming. The MIT Press, 2022. http://dx.doi.org/10.7551/mitpress/14679.001.0001.

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A comprehensive neurocognitive theory of dreaming based on the theories, methodologies, and findings of cognitive neuroscience and the psychological sciences. G. William Domhoff's neurocognitive theory of dreaming is the only theory of dreaming that makes full use of the new neuroimaging findings on all forms of spontaneous thought and shows how well they explain the results of rigorous quantitative studies of dream content. Domhoff identifies five separate issues—neural substrates, cognitive processes, the psychological meaning of dream content, evolutionarily adaptive functions, and historically invented cultural uses—and then explores how they are intertwined. He also discusses the degree to which there is symbolism in dreams, the development of dreaming in children, and the relative frequency of emotions in the dreams of children and adults. During dreaming, the neural substrates that support waking sensory input, task-oriented thinking, and movement are relatively deactivated. Domhoff presents the conditions that have to be fulfilled before dreaming can occur spontaneously. He describes the specific cognitive processes supported by the neural substrate of dreaming and then looks at dream reports of research participants. The “why” of dreaming, he says, may be the most counterintuitive outcome of empirical dream research. Though the question is usually framed in terms of adaptation, there is no positive evidence for an adaptive theory of dreaming. Research by anthropologists, historians, and comparative religion scholars, however, suggests that dreaming has psychological and cultural uses, with the most important of these found in religious ceremonies and healing practices. Finally, he offers suggestions for how future dream studies might take advantage of new technologies, including smart phones.
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