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220922 ||| eng |
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|a 9780262312035
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020 |
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|a 0262312034
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|a 0262312042
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|a 9780262312042
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050 |
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4 |
|a QP360
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100 |
1 |
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|a Uttal, William R.
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245 |
0 |
0 |
|a Reliability in cognitive neuroscience
|h Elektronische Ressource
|b a meta-meta analysis
|c William R. Uttal
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260 |
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|a Cambridge, Mass.
|b MIT Press
|c 2013
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300 |
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|a xiii, 238 pages
|b illustrations
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653 |
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|a Cognition / Review
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653 |
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|a Brain / Physiology / Review
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653 |
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|a NEUROSCIENCE/General
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653 |
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|a Meta-analysis
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653 |
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|a Cognitive neuroscience
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653 |
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|a Brain mapping
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653 |
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|a COGNITIVE SCIENCES/Psychology/Cognitive Psychology
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653 |
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|a Brain mapping / Review
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653 |
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|a COGNITIVE SCIENCES/General
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653 |
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|a Brain / Physiology
|
041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
989 |
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|b MITArchiv
|a MIT Press eBook Archive
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028 |
5 |
0 |
|a 10.7551/mitpress/9780262018524.001.0001
|
856 |
4 |
0 |
|u https://doi.org/10.7551/mitpress/9780262018524.001.0001?locatt=mode:legacy
|x Verlag
|3 Volltext
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082 |
0 |
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|a 612.8/233
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520 |
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|a Cognitive neuroscientists increasingly claim that brain images generated by new brain imaging technologies reflect, correlate, or represent cognitive processes. This book warns against these claims, arguing that, despite its utility in anatomic and physiological applications, brain imaging research has not provided consistent evidence for correlation with cognition. It bases this argument on a review of the empirical literature, pointing to variability in data not only among subjects within individual experiments but also in the meta-analytical approach that pools data from different experiments
|