Self-relevance has been demonstrated to impair instrumental learning. Compared to unfamiliar symbols associated with a friend, analogous stimuli linked with the self are learned more slowly. What is not yet understood, however, is whether this effect extends beyond arbitrary stimuli to material with intrinsically meaningful properties. Take, for example, stimulus valence an established moderator of self-bias. Does the desirability of to-be-learned material influence self-learning? Here, in conjunction with computational modelling (i.e. Reinforcement Learning Drift Diffusion Model analysis), a probabilistic selection (...) task was used to establish if and how stimulus valence (i.e. desirable/undesirable posters) impacts the acquisition of knowledge relating to object-ownership (i.e. owned-by-self vs. owned-by-friend). Several interesting results were observed. First, undesirable posters were learned more rapidly for self compared to friend, an effect that was reversed for desirable posters. Second, learning rates were accompanied by associated differences in reward sensitivity toward desirable and undesirable choice selections as a function of ownership. Third, decisional caution was greater for self-relevant (vs. friend relevant) responses. Collectively, these findings inform understanding of self-function and how valence and stimulus relevance mutually influence probabilistic learning. (shrink)

One of the major impediments to understanding the concept of information is that the term is used to describe a number of disparate things, including a property of organized matter and messages sent from a sender to a receiver. Information is essentially an attribute of the form that matter and energy take, not of matter and energy themselves. Intrinsic information is a theoretical measure of the degree to which an entity is organized, the opposite of entropy. Meaningful information, however, involves (...) the detection of a pattern of organized matter or energy by an animate or a man-made receptor, which triggers a change in the behavior, function, or organizational structure of the receiving entity. The ability to detect and respond to meaningful information is one of the defining characteristics of living entities; the process that enables cells and organisms to receive their genetic heritage, regulate their internal milieu, and respond to changes in their environment. Although energy and information are the two fundamental causal agents in the natural world, they bring about change through completely different mechanisms. The energy involved in physical interactions is supplied by the originating entity, while the energy involved in informational interactions is provided by the recipient. There is no predictable relationship between the nature of the informational stimulus and the response it engenders, for this is primarily determined by the pattern of connections between the involved receptors and effectors that evolution and learning have fashioned. As a result, a living entity’s response to information cannot be predicted on a purely mechanical basis. The laws that describe the physical interaction of organized matter apply to the transfer of energy, not to the transfer of information. This is why biology cannot be reduced to physics. (shrink)

Issues related to research integrity receive increasing attention in policy discourse and beyond with most universities having introduced by now courses addressing issues of good scientific practice. While communicating expectations and regulations related to good scientific practice is essential, criticism has been raised that integrity courses do not sufficiently address discipline and career-stage specific dimensions, and often do not open up spaces for in-depth engagement. In this article, we present the card-based engagement method RESPONSE_ABILITY, which aims at supporting researchers in (...) developing their ability to respond to challenges of good scientific practice. The method acknowledges that what counts and what does not count as acceptable practice may not be as clear-cut as imagined and that research environments matter when it comes to integrity issues. Using four sets of cards as stimulus material, participants are invited to reflect individually and collectively about questions of research integrity from different perspectives. This approach is meant to train them to negotiate in which contexts certain practices can still be regarded as acceptable and where possible transgressions might begin. RESPONSE_ABILITY can be seen as fostering the creation of an integrity culture as it invites a more reflexive engagement with ideals and realities of good practice and opens a space to address underlying value conflicts researchers may be confronted with. Concluding the article, we call for caution that addressing issues of integrity meaningfully requires striking a delicate balance between raising researchers’ awareness of individual responsibilities and creating institutional environments that allow them to be response-able. (shrink)

Yarkoni correctly recognizes that one reason for psychology's generalizability crisis is the failure to account for variance within experiments. We argue that this problem, and the generalizability crisis broadly, is a necessary consequence of the stimulus-response paradigm widely used in psychology research. We point to another methodology, perturbation experiments, as a remedy that is not vulnerable to the same problems.

In this paper it is argued that certain stimulus-response learning models which are adequate to represent finite automata (acceptors) are not adequate to represent noninitial state input-output automata (transducers). This circumstance suggests the question whether or not the behavior of animals if satisfactorily modelled by automata is predictive. It is argued in partial answer that there are automata which can be explained in the sense that their transition and output functions can be described (roughly, Hempel-type covering law explanation) (...) while their behaviors are in principle not predictable short of possession of their complete histories or of information concerning present internal states by indirect observation. (shrink)

Four experiments examined how accurately participants can report the times of their own decisions. Within an auditory reaction time task, participants reported the time at which the tone was presented, they decided on the response, or the response key was pressed. Decision time reports were checked for plausibility against the actual RTs, and we compared the effects of experimental manipulations on these two measures to see whether the reported decision times showed appropriate effects. In addition, we estimated the (...) amount of error associated with individual decision time reports by checking how often participants’ decision time reports were implausibly early or late , and by using several quantitative models. Overall, the results suggest that decision time reports are not very accurate but they may be usable for some purposes. (shrink)

A set of images can be considered as meaningfully different for an observer if they can be distinguished phenomenally from one another. Each phenomenal difference must be supported by some neurophysiological differences. Differentiation analysis aims to quantify neurophysiological differentiation evoked by a given set of stimuli to assess its meaningfulness to the individual observer. As a proof of concept using high-density EEG, we show increased neurophysiological differentiation for a set of natural, meaningfully different images in contrast to another set (...) of artificially generated, meaninglessly different images in nine participants. Stimulus-evoked neurophysiological differentiation (over 257 channels, 800 ms) was systematically greater for meaningful vs. meaningless stimulus categories both at the group level and for individual subjects. Spatial breakdown showed a central-posterior peak of differentiation, consistent with the visual nature of the stimulus sets. Temporal breakdown revealed an early peak of differentiation around 110 ms, prominent in the central-posterior region; and a later, longer-lasting peak at 300–500 ms that was spatially more distributed. The early peak of differentiation was not accompanied by changes in mean ERP amplitude, whereas the later peak was associated with a higher amplitude ERP for meaningful images. An ERP component similar to visual-awareness-negativity occurred during the nadir of differentiation across all image types. Control stimulus sets and further analysis indicate that changes in neurophysiological differentiation between meaningful and meaningless stimulus sets could not be accounted for by spatial properties of the stimuli or by stimulus novelty and predictability. (shrink)

Evaluative Conditioning (EC) refers to changes in our liking or disliking of a stimulus due to its pairing with other positive or negative stimuli. In addition to stimulus-based mechanisms, recent research has shown that action-based mechanisms can also lead to EC effects. Research, based on action control theories, has shown that pairing a positive or negative action with a neutral stimulus results in EC effects (Stimulus-Response binding). Similarly, research studies using Operant Conditioning (OC) approaches have (...) also observed EC effects. The aim of the present study is to directly compare EC effects elicited by two different response-based approaches – S-R bindings and OC. To this end, participants were randomly assigned to an S-R binding procedure and an OC procedure. EC effects were measured in conditions and compared. Implications for EC theory are discussed. (shrink)