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1

Organisation of goal-directed behaviour: Development of experimental methods and analysis of chronic and acute effects of alcohol on correlations between brain potentials. Oulu: Universitatis ouluensis, 1994.

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2

Başar, Erol. Brain function and oscillations. Berlin: Springer, 1998.

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3

Chang, Corina Yee-Mei. Analysis of infant visual evoked potentials. Ottawa: National Library of Canada, 1993.

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4

Schulze, Ernst-Detlef, and Helmut Zwölfer, eds. Potentials and Limitations of Ecosystem Analysis. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-71630-0.

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5

Colin, Barber, and Blum Thomas Ph D, eds. Evoked potentials III. Boston: Butterworths, 1987.

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6

I, Berlin Charles, ed. Auditory evoked potentials. Austin, Tex: PRO-ED, 1986.

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7

Attention and brain function. Hillsdale, N.J: L. Erlbaum, 1992.

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8

NATO Advanced Research Workshop on Slow Potential Changes in theHuman Brain (1990 Il Ciocco, Italy). Slow potential changes in the human brain. New York: Plenum Press, in cooperation with NATO Scientific Affairs Division, 1993.

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9

Yap, Pew-Thian, Tianming Liu, Dinggang Shen, Carl-Fredrik Westin, and Li Shen, eds. Multimodal Brain Image Analysis. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33530-3.

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10

Liu, Tianming, Dinggang Shen, Luis Ibanez, and Xiaodong Tao, eds. Multimodal Brain Image Analysis. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24446-9.

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11

Shen, Li, Tianming Liu, Pew-Thian Yap, Heng Huang, Dinggang Shen, and Carl-Fredrik Westin, eds. Multimodal Brain Image Analysis. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-02126-3.

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12

Maurer, Konrad, ed. Topographic Brain Mapping of EEG and Evoked Potentials. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-72658-3.

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13

1923-, Frowein R. A., Brock M. 1938-, and Klinger M. 1943-, eds. Head injuries: Prognosis, evoked potentials, microsurgery, brain death. Berlin: Springer-Verlag, 1989.

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14

Rague, Brian William. Analysis of abdominal slow potentials during motion sickness. Cambridge, Mass: Massachusetts Institute of Technology, 1987.

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15

Uhl, Christian, ed. Analysis of Neurophysiological Brain Functioning. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-60007-4.

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16

Uhl, Christian. Analysis of Neurophysiological Brain Functioning. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999.

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17

International Evoked Potentials Symposium (6th 1998?). Functional neuroscience: Evoked potentials and magnetic fields. Amsterdam: Elsevier, 1999.

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18

Bennaceur, Amel, Reiner Hähnle, and Karl Meinke, eds. Machine Learning for Dynamic Software Analysis: Potentials and Limits. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-96562-8.

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19

Burke, William H. Brain injury rehabilitation: Applied behavior analysis in brain injury rehab. 2nd ed. Houston, Tex: HDI Publishers, 1996.

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20

Burke, Willam H. Brain injury rehabilitation: Applied behavior analysis in brain injury rehab. 2nd ed. Houston, TX: HDI Publishers, 1996.

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21

Rees, Adrian. The auditory brain. Oxford: Oxford University Press, 2010.

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22

Thomas, Dierks, ed. Atlas of brain mapping: Topographic mapping of EEG and evoked potentials. Berlin: Springer-Verlag, 1991.

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23

The auditory brain. Oxford: Oxford University Press, 2010.

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24

Counter, S. Allen. Electromagnetic stimulation of the auditory system: Effects and side-effects. Oslo: Scandinavian University Press, 1993.

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25

Jatoi, Munsif Ali, and Nidal Kamel. Brain Source Localization Using EEG Signal Analysis. Boca Raton : Taylor & Francis, 2018.: CRC Press, 2017. http://dx.doi.org/10.1201/9781315156415.

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26

Human brain electrophysiology: Evoked potentials and evoked magnetic fields in science and medicine. New York: Elsevier, 1989.

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27

G, Iyer V., and Surwillo Walter W, eds. Clinical electroencephalography and topographic brain mapping: Technology and practice. New York: Springer-Verlag, 1989.

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28

Tong, Shanbao. Quantitative EEG analysis methods and clinical applications. Boston: Artech House, 2009.

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29

ʻAnuchitwō̜rawong, Chaiyasit. Green growth and green jobs in Thailand: Comparative analysis, potentials, perspectives. [Bangkok, Thailand]: Friedrich-Ebert-Stiftung, 2012.

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30

Professor, Koga Yoshihiko, Nagata Ken, and Hirata Koichi, eds. Brain topography today: Proceedings of the III Pan-Pacific Conference on Brain Topography (BTOPPS III), Tokyo Bay, Japan, April 1-4, 1997. Amsterdam: Elsevier, 1998.

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31

Alho, Kimmo. Mechanisms of selective listening reflected by event-related brain potentials in humans. Helsinki: Suomalainen Tiedeakatemia, 1987.

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32

S, Gevins A., and Rémond Antoine, eds. Methods of analysis of brain electrical and magnetic signals. Amsterdam: Elsevier, 1987.

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33

Hillmer, Ansel T., Kelly P. Cosgrove, and Richard E. Carson. PET Brain Imaging Methodologies. Edited by Dennis S. Charney, Eric J. Nestler, Pamela Sklar, and Joseph D. Buxbaum. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190681425.003.0009.

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Abstract:
While quantitative and pharmacologically specific aspects distinguish molecular imaging, they also impose the need for considerable expertise to design, conduct, and analyze molecular imaging studies. Positron emission tomography (PET) brain imaging provides a powerful noninvasive tool for quantitative and pharmacologically specific clinical research. This chapter describes basic methodological considerations for PET brain imaging studies. First the physiological interpretation of the most common outcome measures of binding potential (BPND) and volume of distribution (VT) are described. Next, aspects of acquisition of PET imaging data and blood measurements for analysis are discussed, followed by a summary of standard data analysis techniques. Finally, various applications for the study of mental illness, including group differences, measurements of drug occupancy, and assay of acute neurotransmitter release are discussed.
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34

Grush, Rick, and Lisa Damm. Cognition and the Brain. Edited by Eric Margolis, Richard Samuels, and Stephen P. Stich. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780195309799.013.0012.

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The article explores the relationship between cognition and the brain. Some researches indicate that emotions provide information, anticipate future responses, influence reasoning strategy, index value, and direct attention toward particular objects but few psychologists have attempted to incorporate these results into an integrative general theory of cognition and emotion. Antonio Damasio claims that emotions are primarily representations of somatic states, including visceral and musculoskeletal, at the psychological level. The relationship between the event type and the associated emotional reaction is learned so that when the same type of event is encountered, or the same type of action considered, it can induce the corresponding emotion and the valance of that emotion can influence how the agent behaves in that situation. Damasio argued that somatic markers help facilitate reasoning by providing a rapid processing of potential decision outcomes based on immediate endorsement or rejection, which then helps constrain the decision-making space to a manageable size for which it becomes reasonable to employ more traditional means of evaluation such as cost-benefit analysis on the remaining options. Berthoz argued that the brain is a simulator of action and a generator of hypotheses such that anticipating and predicting the consequences of actions based on the remembered past is one of the basic properties of the brain.
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35

W, Rohrbaugh John, Parasuraman R, and Johnson Ray 1948-, eds. Event-related brain potentials. Oxford University Press, 1990.

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36

Begleiter, Henri. Evoked Brain Potentials and Behavior. Springer, 2012.

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37

Evoked Potentials. Butterworth-Heinemann Ltd, 1988.

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38

Miller, Robert, 1943 Aug. 29-, ed. Time and the brain. Amsterdam: Harwood Academic, 2000.

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39

Brain Network Analysis. Cambridge University Press, 2019.

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40

Handy, Todd C., ed. Brain Signal Analysis. The MIT Press, 2009. http://dx.doi.org/10.7551/mitpress/9780262013086.001.0001.

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41

(Editor), Christa Neuper, and Wolfgang Klimesch (Editor), eds. Event-Related Dynamics of Brain Oscillations, Volume 159 (Progress in Brain Research). Elsevier Science, 2006.

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42

1941-, Schulze E. D., and Zwölfer H, eds. Potentials and limitations of ecosystem analysis. Berlin: Springer, 1987.

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43

Schulze, E.-D. Potentials and Limitations of Ecosystem Analysis. Brand: Springer, 2011.

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44

Potentials and limitations of ecosystems analysis. Berlin: Springer-Verlag, 1986.

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45

Potentials and Limitations of Ecosystem Analysis. Springer, 2011.

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46

E, Desmedt John, ed. Visual evoked potentials. Amsterdam: Elsevier, 1990.

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47

Hans, Lüders, ed. Advanced evoked potentials. Boston: Kluwer Academic Publishers, 1989.

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48

Awakening the Brain: Liberate You Hidden Potentials! Hay House Audio Books, 1992.

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49

Horovitz, Silvina G. BRAIN CONNECTIVITY ANALYSIS: INVESTIGATING BRAIN DISORDERS. Edited by Barry Horwitz. Frontiers Media SA, 2012. http://dx.doi.org/10.3389/978-2-88919-020-1.

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50

(Editor), John W. Rohrbaugh, Raja Parasuraman (Editor), and Ray Johnson (Editor), eds. Event-Related Brain Potentials: Basic Issues and Applications. Oxford University Press, USA, 1990.

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