2014
DOI: 10.1371/journal.pone.0109070
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Distributed Patterns of Event-Related Potentials Predict Subsequent Ratings of Abstract Stimulus Attributes

Abstract: Exposure to pleasant and rewarding visual stimuli can bias people's choices towards either immediate or delayed gratification. We hypothesised that this phenomenon might be based on carry-over effects from a fast, unconscious assessment of the abstract ‘time reference’ of a stimuli, i.e. how the stimulus relates to one's personal understanding and connotation of time. Here we investigated whether participants' post-experiment ratings of task-irrelevant, positive background visual stimuli for the dimensions ‘ar… Show more

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Cited by 24 publications
(22 citation statements)
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“…Priming has been shown to be effective in a number of circumstances, including inter-temporal choice (Van den Bergh et al, 2008 ; Zauberman et al, 2009 ; Murawski et al, 2012 ; Luo et al, 2014 ). It is based on the assumption that the presentation with an environmental cue biases the response to a subsequent cue, which can be entirely unrelated, due to an implicit memory effect activating association networks (Bargh, 1990 ; Tulving and Schacter, 1990 ; Chartrand and Bargh, 1996 ) or to the fast and automatic extraction of decision-relevant aspects of the stimuli during exposure (Bode et al, 2014 ).…”
Section: Discussionmentioning
confidence: 99%
“…Priming has been shown to be effective in a number of circumstances, including inter-temporal choice (Van den Bergh et al, 2008 ; Zauberman et al, 2009 ; Murawski et al, 2012 ; Luo et al, 2014 ). It is based on the assumption that the presentation with an environmental cue biases the response to a subsequent cue, which can be entirely unrelated, due to an implicit memory effect activating association networks (Bargh, 1990 ; Tulving and Schacter, 1990 ; Chartrand and Bargh, 1996 ) or to the fast and automatic extraction of decision-relevant aspects of the stimuli during exposure (Bode et al, 2014 ).…”
Section: Discussionmentioning
confidence: 99%
“…Preprocessing of data was performed using a semiautomated preprocessing pipeline (cf. Bode, Bennett, Stahl, & Murawski, 2014;Brydevall, Bennett, Murawski, & Bode, 2018). Data were first manually screened to exclude epochs contaminated by skin potential or muscle artifacts.…”
Section: Eeg Data Acquisitionmentioning
confidence: 99%
“…EEG data were preprocessed using EEGLAB 33 , according to a semi-automated preprocessing pipeline 34,35 . Data were high-and low-pass filtered at 0.1 Hz and 70 Hz respectively, and notch filtered from 45-55 Hz to remove background electrical noise.…”
Section: Eeg Data Acquisition and Preprocessingmentioning
confidence: 99%