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The Fluency Amplification Model supports the GANE principle of arousal enhancement

Published online by Cambridge University Press:  05 January 2017

Claus-Christian Carbon  and
Sabine Albrecht
Claus-Christian Carbon
Affiliation:
Department of General Psychology and Methodology, University of Bamberg, Bamberg, Germany Forschungsgruppe EPÆG (Ergonomie, Psychologische Æsthetik, Gestalt), Bamberg, Germanyccc@experimental-psychology.comwww.experimental-psychology.com Bamberg Graduate School of Affective and Cognitive Sciences (BaGrACS), Bamberg, [email protected]
Sabine Albrecht
Affiliation:
Department of General Psychology and Methodology, University of Bamberg, Bamberg, Germany Forschungsgruppe EPÆG (Ergonomie, Psychologische Æsthetik, Gestalt), Bamberg, Germanyccc@experimental-psychology.comwww.experimental-psychology.com Bamberg Graduate School of Affective and Cognitive Sciences (BaGrACS), Bamberg, [email protected]
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Abstract

The GANE (glutamate amplifies noradrenergic effects) model described by Mather et al. offers a neurophysiological basis for the arousal mechanism which is essential for empirical aesthetics and Gestalt processing. More generally, the core principle of perception can be interpreted as a continuous processing of competing arousal states, yielding selective amplification and inhibition of percepts to deduce the meaning of a scene.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 39 , 2016 , e204
Copyright
Copyright © Cambridge University Press 2016 

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References

Albrecht, S. & Carbon, C. C. (2014) The fluency amplification model: Fluent stimuli show more intense but not evidently more positive evaluations. Acta Psychologica 148:195–203.Google Scholar
Carbon, C. C. (2014) Understanding human perception by human-made illusions. Frontiers in Human Neuroscience 8(566):1–6.Google Scholar
Gregory, R. L. (1970) The intelligent eye. Weidenfeld and Nicolson.Google Scholar
Muth, C. & Carbon, C. C. (2013) The aesthetic aha: On the pleasure of having insights into Gestalt. Acta Psychologica 144(1):25–30.Google Scholar
Muth, C., Pepperell, R. & Carbon, C. C. (2013) Give me Gestalt! Preference for cubist artworks revealing high detectability of objects. Leonardo 46(5):488–89.Google Scholar
Muth, C., Raab, M. H. & Carbon, C. C. (2015) The stream of experience when watching artistic movies. Dynamic aesthetic effects revealed by the continuous evaluation procedure (CEP). Frontiers in Psychology 6(365):1–13.CrossRefGoogle ScholarPubMed
Storbeck, J. & Clore, G. L. (2008) Affective arousal as information: How affective arousal influences judgments, learning, and memory. Social and Personality Psychology Compass 2(5):1824–43.Google Scholar
Van de Cruys, S. & Wagemans, J. (2011) Putting reward in art: A tentative prediction error account of visual art. i-Perception 2(9):1035–62.CrossRefGoogle ScholarPubMed