DOCUMENTS

  TITLE AUTHOR INSTITUTION DATE ABSTRACT DOWNLOAD
“Why should I care?” Challenging free will attenuates neural reaction to errors Marcel Brass UGENT 2015 10
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Rigoni, D., Pourtois, G., & Brass, M. (2014). 'Why should I care?' Challenging free will attenuates neural reaction to errors. Social Cognitive and Affective Neuroscience, 10, 262-268.

Whether human beings have free will or not has been a philosophical question for centuries. The debate about free will has recently entered the public arena through mass media and newspaper articles commenting on scientific findings that leave little to no room for free will. Previous research has shown that encouraging such a deterministic perspective influences behavior, namely by promoting cursory and antisocial behavior. Here we propose that such behavioral changes may, at least partly, stem from a more basic neurocognitive process related to response monitoring, namely a reduced error detection mechanism. Our results show that the Error-Related Negativity, a neural marker of error detection, was reduced in individuals led to disbelieve in free will. This finding shows that reducing the belief in free will has a specific impact on error detection mechanisms. More generally, it suggests that abstract beliefs about intentional control can influence basic and automatic processes related to action control.

A Propositional Model of Implicit Evaluation Jan De Houwer UGENT 2015 01
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De Houwer, J. (2014). A Propositional Model of Implicit Evaluation. Social and Personality Psychology Compass, 8, 342-353.

Implicit evaluation can be defined as the automatic effect of stimuli on evaluative responses. A major advantage of this definition is that it is neutral with regard to the mental processes and representations that mediate implicit evaluation. Whereas many existing models postulate that implicit evaluation is mediated by the automatic spreading of activation along associations in memory, it is also possible to entertain the idea that implicit evaluation is due to the automatic formation or activation of propositions. In line with such a propositional model of implicit evaluation, evidence suggests that implicit evaluation (a) can be based on instructions and inferences, (b) is sensitive to information about how stimuli are related, and (c) can reflect several propositions that differ only with regard to how stimuli are related. Although it might be difficult to differentiate between propositional models on the one hand and association-activation or dual-process models on the other hand, merely considering the idea that implicit evaluation might be mediated by propositions offers a new perspective on existing findings and leads to novel predictions about the conditions under which implicit evaluation occurs.

Approach-avoidance training effects are moderated by awareness of stimulus-action contingencies Jan De Houwer UGENT 2015 10
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Van Dessel, P., De Houwer, J., & Gast, A. (2016). Approach-avoidance training effects are moderated by awareness of stimulus-action contingencies. Personality and Social Psychology Bulletin, 42, 81-93.

Prior research suggests that repeatedly approaching or avoiding a stimulus changes the liking of
that stimulus. In two experiments, we investigated the relationship between, on the one hand,
effects of approach-avoidance (AA) training on implicit and explicit evaluations of novel faces
and, on the other hand, contingency awareness as indexed by participants’ memory for the
relation between stimulus and action. We observed stronger effects for faces that were classified
as contingency aware and found no evidence that AA training caused changes in stimulus
evaluations in the absence of contingency awareness. These findings challenge the standard view
that AA training effects are (exclusively) the product of implicit learning processes, such as the
automatic formation of associations in memory.

Braem, S., De Houwer, J., Demanet, J, Yuen, K. S. L., Kalisch, R., & Brass, M. (2017). Pattern analyses reveal separate experience-based fear memories in the human right amygdala. Journal of Neuroscience, 37, 8116–8130. Jan De Houwer UGENT 2018 03
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Learning fear via the experience of contingencies between a conditioned stimulus (CS) and an
aversive unconditioned stimulus (US) is often assumed to be fundamentally different from
learning fear via instructions. An open question is whether fear-related brain areas respond
differently to experienced CS-US contingencies than to merely instructed CS-US contingencies.
Here, we contrasted two experimental conditions where subjects were instructed to expect the
same CS-US contingencies while only one condition was characterized by prior experience with
the CS-US contingency. Using multi-voxel pattern analysis of fMRI data, we found CS-related
neural activation patterns in the right amygdala (but not in other fear-related regions) that
dissociated between whether a CS-US contingency had been instructed and experienced versus
merely instructed. A second experiment further corroborated this finding by showing a
category-independent neural response to instructed and experienced, but not merely instructed,
CS presentations in the human right amygdala. Together, these findings are in line with
previous studies showing that verbal fear instructions have a strong impact on both brain and
behaviour. However, even in the face of fear instructions, the human right amygdala still shows
a separable neural pattern response to experience-based fear contingencies.

Braem, S., Liefooghe, B., De Houwer, J., Brass, M., & Abrahamse, E. (2017). There are limits to the effects of task instructions: Making the automatic effects of task instructions context-specific takes practice. Journal of Experimental Psychology: Learning, Memory, & Cognition, 43, 394-403. Jan De Houwer UGENT 2018 03
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Unlike other animals, humans have the unique ability to share and use verbal instructions to prepare
for upcoming tasks. Recent research showed that instructions are sufficient for the automatic, reflexlike activation of responses. However, systematic studies into the limits of these automatic effects of
task instructions remain relatively scarce. In this study, we set out to investigate whether this
instruction-based automatic activation of responses can be context-dependent. Specifically,
participants performed a task of which the stimulus-response rules and context (location on the screen)
could either coincide or not with those of an instructed to-be-performed task (whose instructions
changed every run). In two experiments, we showed that the instructed task rules had an automatic
impact on performance – performance was slowed down when the merely instructed task rules did not
coincide, but, importantly, this effect was not context-dependent. Interestingly, a third and fourth
experiment suggests that context dependency can actually be observed, but only when practicing the
task in its appropriate context for over sixty trials or after a sufficient amount of practice on a fixed
context (the context was the same for all instructed tasks). Together, these findings seem to suggest
that instructions can establish stimulus-response representations that have a reflexive impact on
behavior, but are insensitive to the context in which the task is known to be valid. Instead, contextspecific task representations seem to require practice.

Brass, M., Liefooghe, B., Braem, S., & De Houwer, J. (2017). Following new task instructions: Evidence for a dissociation between knowing and doing. Neuroscience and Biobehavioral Reviews, 81, 16-28. Jan De Houwer UGENT 2018 03
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The ability to follow new instructions is crucial for acquiring behaviors and the cultural
transmission of performance-related knowledge. In this article, we discuss the observation
that successful instruction following seems to require both the capacity to understand verbal
information, but also the ability to transform this information into a procedural format. Here
we review the behavioural and neuroimaging literature on following new instructions and
discuss how it contributes to our understanding of the functional mechanisms underlying
instruction following. Based on this review, we distinguish three phases of instruction
following. In the instruction phase, the declarative information of the task instruction is
transformed into a task model consisting of a structured representation of the relevant
condition-action rules. In the implementation phase, elements of this task model are
transformed into a highly accessible state guiding behaviour. In the application phase, the
relevant condition-action rules are applied. We discuss the boundary conditions and capacity
limits of these phases, determine their neural correlates, and relate them to recent models
of working memory.

Can prepared fear conditioning result from verbal instructions? Jan De Houwer UGENT 2015 12
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Mertens, G., Raes, A. K., & De Houwer, J. (In press). Can prepared fear conditioning result from verbal instructions? Learning and Motivation.

Evolutionary fear-relevant stimuli such as snakes or spiders are thought to be prepared to elicit fear reactions. This implies that the acquisition of conditioned fear responses is facilitated when these stimuli serve as conditioned stimuli (CSs). Moreover, extinction of conditioned fear responses is delayed when CSs are prepared stimuli. The research presented in this article addresses the question whether such selective learning effects can be obtained even when participants do not experience pairings of CSs and US but receive only instructions about those pairings. Two experiments were conducted in which participants were verbally informed about the relationship between fear-relevant and fear-irrelevant CSs and the presence of an electrical stimulus (US). However, CSs were never actually paired with the US. US expectancy ratings and skin conductance responses were recorded during multiple CS only trials. In the first experiment, we observed acquisition, extinction and reinstatement of fear on the basis of instructions, but these effects were not modulated by the fear-relevance of the CSs. In the second experiment, we manipulated whether participants actually experienced the CS-US contingencies or were merely instructed. We obtained facilitated acquisition for the merely instructed fear-relevant CS+. We discuss these results in relation to the evolutionary fear learning model of Öhman and Mineka (2001) and the expectancy bias model of Davey (1992).

Contingency learning tracks with stimulus-response proportion: No evidence of misprediction costs Jan De Houwer UGENT 2015 12
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Schmidt, J. R., & De Houwer, J. (in press). Contingency learning tracks with stimulus-response proportion: No evidence of misprediction costs. Experimental Psychology.

We investigate the processes involved in human contingency learning using the colour-word contingency learning paradigm. In this task, participants respond to the print colour of neutral words. Each word is most often presented in one colour. Results show that participants respond faster and more accurately to words presented in their expected colour. In Experiment 1, we observed better performance for high relative to medium frequency word-colour pairs, and for medium relative to low frequency pairs. Within the medium frequency condition, it did not matter whether the word was predictive of a currently-unpresented colour, or the colour of a currently-unpresented word. We conclude that a given word facilitates each potential response proportional to how often they co-occurred. In contrast, there was no evidence for costs associated with violations of high-frequency expectancies. Experiment 2 further introduced a novel word baseline condition but also did not provide evidence for competition between retrieved responses.

COOL WP3 2015 update Jan De Houwer UGENT 2015 12  
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COOL2 Meeting Program Jan De Houwer UGENT 2013 11  
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COOL2 WP3 update Jan De Houwer UGENT 2013 11  
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COOL2 WP5 Update Marcel Brass UGENT 2014 01  
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COOL3 – WP3 update Jan De Houwer UGENT 2015 01
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Powerpoint slides used for the progress report of WP3 at the annual IUAP meeting, Leuven, 11 December 2014

De Houwer, J., & Hughes, S. (2016). Evaluative conditioning as a symbolic phenomenon: On the relation between evaluative conditioning, evaluative conditioning via instructions, and persuasion. Social Cognition, 34, 480-494. Jan De Houwer UGENT 2018 03
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Evaluative conditioning (EC) is sometimes portrayed as a primitive way of changing attitudes
that is fundamentally different from persuasion via arguments. We provide a new perspective
on the nature of EC and its relation to persuasion by exploring the idea that stimulus pairings
can function as a symbol that conveys the nature of the relation between stimuli. We put
forward the concept of symbolic EC to refer to changes in liking that occur because stimulus
pairings function as symbols. The idea of symbolic EC is consistent with at least some current
theories of persuasion. It clarifies what EC research can add to the understanding of the origins
of our preferences and has implications for how (symbolic and non-symbolic) EC can be
established, the boundaries of EC research, and cognitive and functional models of EC.

De Houwer, J., Hughes, S., & Brass, M. (2017). Toward a unified framework for research on instructions and other messages: An introduction to the special section on the power of instructions. Neuroscience and Biobehavioral Reviews, 81, 1-3. Jan De Houwer UGENT 2018 03
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Instructions are known to have a profound impact on human behavior. Nevertheless, research
on the effects of instructions is relatively scarce and scattered across different areas of
research in psychology and neuroscience. The current issue of this journal contains six papers
that review research on instructions in different research areas. In this introduction to the
special section, we provide the outline of a framework that focuses on five components that
can be varied in research on this topic (sender, message, receiver, context, and outcome). The
framework brings order to the boundless potential variability in research on the effects of
messages (i.e., it has heuristic value) and highlights that past research explored only a tiny
fraction of what is possible (i.e., it has predictive value). Moreover, it reveals that research in
different areas tends to examine different instantiations of the five components. The latter
observation implies that much can be gained from closer interactions between researchers
from different areas.

COOL

Mechanisms of conscious and unconscious learning

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