Amd, Micah and Roche, Bryan
(2015)
A derived transformation of emotional functions
using self-reports, implicit association tests, and frontal
alpha asymmetries.
Learning and Behavior.
ISSN 1543-4508
Abstract
Research on the derived transformation of stimulus
functions (ToF) typically employs single dependent measures
for assessing the stimulus functions after derived relations
have been established. For the first time, we examined ToF
using three dependent measures both prior to and after
relational training and testing. Specifically, we employed
self-reports, implicit association tests, and frontal alpha
asymmetry as pre versus post measures for assessing ToF.
First, we trained two abstract shapes as contextual cues for
happier-than and unhappier-than relations, respectively. Next,
four conditional discriminations (A+/B–, B+/C–, C+/D–, and
D+/E–) were trained in the presence of the happier-than cue
only, where A, B, C, D, and E were blurred faces. This
was followed by tests for contextually controlled transitive
inference (TI) in the presence of both the happier-than and
unhappier-than cues. For the participants who demonstrated
TI, performance across all three measures following relational
training and testing indicated that the Bhappiness^ functions of
the A/B stimuli were greater than those of the D/E stimuli.
This constitutes the first known demonstration of emotional
ToF along explicit, implicit, and neurophysiological measures
concurrently.
Item Type: |
Article
|
Keywords: |
Transformation of functions; Frontal alpha
asymmetry; Transitive inference; Symbolic relations; |
Academic Unit: |
Faculty of Science and Engineering > Psychology |
Item ID: |
6829 |
Identification Number: |
https://doi.org/10.3758/s13420-015-0198-6 |
Depositing User: |
Dr. Bryan Roche
|
Date Deposited: |
18 Jan 2016 16:25 |
Journal or Publication Title: |
Learning and Behavior |
Publisher: |
Springer Verlag |
Refereed: |
Yes |
URI: |
|
Use Licence: |
This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available
here |
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