It is well established that attention can be sharpened through the process of statistical learning (e.g., visual search becomes faster when targets appear at high-relative-to-low probability locations). Although this process of statistically learned attentional enhancement differs behaviorally from the well-studied top-down and bottom-up forms of attention, relatively little work has been done to characterize the electrophysiological correlates of statistically learned attentional enhancement. It thus remains unclear whether statistically learned enhancement recruits...
The electrophysiological markers of statistically learned attentional enhancement: Evidence for a saliency-based mechanism
Temporally dissociable mechanisms of spatial, feature, and motor selection during working memory-guided behavior
Working memory (WM) is a capacity- and duration-limited system that forms a temporal bridge between fleeting sensory phenomena and possible actions. But how are the contents of WM used to guide behavior? A recent high-profile study reported evidence for simultaneous access to WM content and linked motor plans during WM-guided behavior, challenging serial models where task-relevant WM content is first selected and then mapped on to a task-relevant motor response. However, the task used in that study was not optimized to distinguish the selection of spatial versus...
Context-specific effects of violated expectations: ERP evidence
A complete understanding of the predictive processing effect in sentence comprehension needs to understand both the facilitation effect of successful prediction and the cost associated with disconfirmed predictions. The current study compares the predictive processing effect across two types of contexts in Mandarin Chinese: the classifier-noun vs. verb-noun phrases, when controlling for the degree of contextual constraints and cloze probability of the target nouns across the two contexts. The two contexts showed similar N400 patterns for expected target nouns,...
Action planning and execution cues influence economic partner choice
Prudently choosing who to interact with and who to avoid is an important ability to ensure that we benefit from a cooperative interaction. While the role of others’ preferences, attributes, and values in partner choice have been established (Rossetti, Hilbe & Hauser, 2022), much less is known about whether the manner in which a potential partner plans and implements a decision provides helpful cues for partner choice. We used a partner choice paradigm in which participants chose who to interact with in the Prisoners’ Dilemma. Before choosing a cooperation partner,...
Actual and counterfactual effort contribute to responsibility attributions in collaborative tasks
How do people judge responsibility in collaborative tasks? Past work has proposed a number of metrics that people may use to attribute blame and credit to others, such as effort, competence, and force. Some theories consider only the actual effort or force (individuals are more responsible if they put forth more effort or force), whereas others consider counterfactuals (individuals are more responsible if some alternative behavior on their or their collaborator’s part could have altered the outcome). Across four experiments (N=717), we found that participants’...
Chasing consistency: On the measurement error in self-reported affect in experiments
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Reinforcement learning increasingly shapes memory specificity from childhood to adulthood
In some contexts, abstract stimulus representations can effectively promote the pursuit of reward, whereas in others, more detailed representations are needed to guide choice. Here, using a novel reinforcement-learning task, we asked how children, adolescents, and adults flexibly adjust the specificity of the representations used for learning based on experienced reward statistics, as well as how the specificity of these learning representations influences subsequent memory. Across two experiments (total N = 224), we found that children, adolescents, and adults...
Reward sensitivity and noise contribute to negative affective bias: A learning signal detection theory approach in decision-making
In patients with mood disorders, negative affective biases – systematically prioritising and interpreting information negatively – are common. A translational cognitive task testing this bias has shown that depressed patients have a reduced preference for a high reward under ambiguous decision-making conditions. The precise mechanisms underscoring this bias are, however, not yet understood. We therefore developed a set of measures to probe the underlying source of the behavioural bias by testing its relationship to a participant’s reward sensitivity, value sensitivity...
Need for Cognition is associated with a preference for higher task load in effort discounting
When individuals set goals, they consider the subjective value (SV) of the anticipated reward and the required effort, a trade-off that is of great interest to psychological research. One approach to quantify the SVs of levels of difficulty of a cognitive task is the Cognitive Effort Discounting Paradigm by Westbrook and colleagues (2013). However, it fails to acknowledge the highly individual nature of effort, as it assumes a unidirectional, inverse relationship between task load and SVs. Therefore, it cannot map differences in effort perception that arise from traits...
Corrective feedback guides human perceptual decision-making by informing about the world state rather than rewarding its choice
Corrective feedback received on perceptual decisions is crucial for adjusting decision-making strategies to improve future choices. However, its complex interaction with other decision components, such as previous stimuli and choices, challenges a principled account of how it shapes subsequent decisions. One popular approach, based on animal behavior and extended to human perceptual decision-making, employs “reinforcement learning,” a principle proven successful in reward-based decision-making. The core idea behind this approach is that decision-makers, although engaged...
Variation in divergent thinking, executive-control abilities, and mind-wandering measured in and out of the laboratory
Individual differences in executive functions (or executive control abilities) predict variation in creative thinking ability. Relatedly, propensity for mind-wandering has been gaining attention among creativity scholars, but its effects on creativity remain unclear. The present study conceptually replicates and extends recent laboratory and experience-sampling work to assess the links between individual differences in divergent thinking, executive control abilities (working memory capacity and attention control), and measures of mind-wandering collected in both...
Task-adaptive changes to the target template in response to distractor context: Separability versus similarity
Theories of attention hypothesize the existence of an attentional template that contains target features in working or long-term memory. It is frequently assumed that the template contains a veridical copy of the target, but recent studies suggest that this is not true when the distractors are linearly separable from the target. In such cases, target representations shift “off-veridical” in response to the distractor context, presumably because doing so is adaptive and increases the representational distinctiveness of targets from distractors. However, some have argued...
Is numerical information always beneficial? Verbal and numerical cue-integration in additive and non-additive tasks
When people use rule-based integration of abstracted cues to make multiple-cue judgments they tend to default to linear additive integration of the cues, which may interfere with efficient learning in non-additive tasks. We hypothesize that this effect becomes especially pronounced when cues are presented numerically rather than verbally, because numbers elicit expectations about a task with a simple numerical solution that can be appropriately addressed by linear and additive integration. This predicts that, relative to a verbal format, a numerical format should be...
Feeling and deciding: Subjective experiences rather than objective factors drive the decision to invest cognitive control
When presented with the choice to invest cognitive control in a task, several signals are monitored to reach a decision. Leading theoretical frameworks argued that the investment of cognitive control is determined by a cost-benefit computation. However, previous accounts remained silent on the potential role of subjective experience in this computation. We experience confidence when giving an answer, feel the excitement of an anticipated reward, and reflect on how much effort is required for successful task performance. Two questions are investigated in the present...
Accentuate the positive: Evidence that context dependent self-reference drives self-bias
There is abundant evidence of a self-bias in cognition, with prioritised processing of information that is self-relevant. There is also abundant evidence of a positivity-bias in cognition, with prioritised processing of information that is positively valenced (e.g., positive emotional expressions, rewards). While the effects of self-bias and positivity-bias have been well documented in isolation, they have seldom been examined in parallel, so it is unclear whether one or other of these stimulus classes is prioritised or whether they interact. Addressing this gap, the...
Episodic memory and sleep are involved in the maintenance of context-specific lexical information
Familiar words come with a wealth of associated knowledge about their variety of usage, accumulated over a lifetime. How do we track and adjust this knowledge as new instances of a word are encountered? A recent study (Cognition) found that, for homonyms (e.g., bank), sleep-associated consolidation facilitates the updating of meaning dominance. Here, we tested the generality of this finding by exposing participants to (Experiment 1; N = 125) nonhomonyms (e.g., bathtub) in sentences that biased their meanings toward a specific interpretation (e.g., bathtub-slip vs....
Between- and Within-Subject Covariance Perspectives Matter for Investigations into the Relationship Between Single- and Dual-Tasking Performance
We expand the usually cross-sectional perspective on dual-tasking performance toinclude both intra- and interpersonal variability, which should capture within-persondynamics and psychological processes better. Two simple tasks, first as single-, then as dualtasks, were performed by 58 participants over 20 session. We found positive relationships between (1) single- and dual-tasking performance and (2) the dual-task component tasks both inter- and intrapersonally. Better single-taskers were better dual-taskers and better singletasking sessions were better dual-tasking...
Anterior hippocampal engagement during memory formation predicts subsequent false recognition of similar experiences
People better remember experiences when they orient to meaning over surface-level perceptual features. Such an orientation-related memory boost has been associated with engagement of both hippocampus (HPC) and neocortex during encoding. However, less is known about the neural mechanisms by which a cognitive orientation toward meaning might also promote memory errors, with one open question being whether the HPC-a region traditionally implicated in precise memory formation-also contributes to behavioral imprecision. We used fMRI to characterize encoding-phase signatures...
Predictions and rewards affect decision-making but not subjective experience
To survive, organisms constantly make decisions to avoid danger and maximize rewards in information-rich environments. As a result, decisions about sensory input are not only driven by sensory information but also by other factors, such as the expected rewards of a decision (known as the payoff matrix) or by information about temporal regularities in the environment (known as cognitive priors or predictions). However, it is unknown to what extent these different types of information affect subjective experience or whether they merely result in nonperceptual response...
Neural and computational underpinnings of biased confidence in human reinforcement learning
While navigating a fundamentally uncertain world, humans and animals constantly evaluate the probability of their decisions, actions or statements being correct. When explicitly elicited, these confidence estimates typically correlates positively with neural activity in a ventromedial-prefrontal (VMPFC) network and negatively in a dorsolateral and dorsomedial prefrontal network. Here, combining fMRI with a reinforcement-learning paradigm, we leverage the fact that humans are more confident in their choices when seeking gains than avoiding losses to reveal a functional...
Anxiety associated with perceived uncontrollable stress enhances expectations of environmental volatility and impairs reward learning
Unavoidable stress can lead to perceived lack of control and learned helplessness, a risk factor for depression. Avoiding punishment and gaining rewards involve updating the values of actions based on experience. Such updating is however useful only if action values are sufficiently stable, something that a lack of control may impair. We examined whether self-reported stress uncontrollability during the first wave of the COVID-19 pandemic predicted impaired reward-learning. In a preregistered study during the first-wave of the COVID-19 pandemic, we used self-reported...
Independent and interactive dynamics between statistical learning and inhibitory control
In an ever-changing environment, the synchronization of automatic and controlled behaviors is imperative for achieving successful adaptation. The nature of the relationship between these behaviors have remained inconclusive. The current study sought to shed light on this relationship by untangling how statistical learning and inhibitory control interact within the same task. The former process facilitates the automatic extraction of environmental patterns, while the latter plays a pivotal role in controlled behaviors. Participants completed a visual four-choice reaction...
Computational mechanisms underlying latent value updating of unchosen actions
Current studies suggest that individuals estimate the value of their choices based on observed feedback. Here, we ask whether individuals update the value of their unchosen actions, even when the associated feedback remains unknown. Two hundred and three individuals completed a multi-armed bandit task, making choices to gain rewards. We found robust evidence suggesting inverse value updating for unchosen actions based on the chosen action’s outcome. Computational modeling results suggested that this effect is mainly explained by a value updating mechanism whereby...
Excitatory stimulation of the ventromedial prefrontal cortex reduces cognitive gambling biases via improved feedback learning
Humans are subject to a variety of cognitive biases, such as the framing-effect or the gambler’s fallacy, that lead to decisions unfitting of a purely rational agent. Previous studies have shown that the ventromedial prefrontal cortex (vmPFC) plays a key role in making rational decisions and that stronger vmPFC activity is associated with attenuated cognitive biases. Accordingly, dysfunctions of the vmPFC are associated with impulsive decisions and pathological gambling. By applying a gambling paradigm in a between-subjects design with 33 healthy adults, we demonstrate...
Social and non-social feedback stimuli lead to comparable levels of reward learning and reward responsiveness in an online probabilistic reward task
Social stimuli seem to be processed more easily and efficiently than non-social stimuli. The current study tested whether social feedback stimuli improve reward learning in a probabilistic reward task (PRT), in which one response option is usually rewarded more often than the other via presentation of non-social reward stimuli. In a pre-registered online study with 305 participants, 75 participants were presented with a non-social feedback stimulus (a star) and information about gains, which is typically used in published PRT studies. Three other groups (with 73-82...
Accessibility of working memory representations in the focus of attention: Heightened or reduced?
Many researchers agree that information residing in the focus of attention in working memory benefits from a boost in memory strength and activation, as well as heightened accessibility. However, recent studies have questioned this heightened accessibility. More specifically, these recent studies found reduced accessibility for an item in the focus of attention compared to another item in working memory, which was referred to as an “inhibition-of-return-like” effect. Our study aimed to provide a detailed examination of the accessibility of information in the focus of...
Proximity to boundaries reveals spatial context representation in human hippocampal CA1
Recollection of real-world events is often accompanied by a sense of being in the place where the event transpired. Convergent evidence suggests the hippocampus plays a key role in supporting episodic memory by associating information with the time and place it was originally encountered. This representation is reinstated during memory retrieval. However, little is known about the roles of different subfields of the human hippocampus in this process. Research in humans and non-human animal models has suggested that spatial environmental boundaries have a powerful...
The SPECTRA study: Validating a new memory training program based on the Episodic Specificity Induction to promote transfer in older adults
Some complex cognitive activities impacted by aging (future thinking, problem-solving, creative thinking) have been shown to rely on episodic retrieval, suggesting that cognitive interventions aiming to improve retrieval have the potential to induce transfer effects to these activities. Prior studies have shown that a brief one-session technique called Episodic Specificity Induction (ESI) can transiently improve episodic retrieval and induce transfer effects to complex tasks that rely on episodic retrieval in older adults. In the present proof-of-concept study, we...
Semantic determinants of memorability
We examine why some words are more memorable than others by using predictive machine learning models applied to word recognition and recall datasets. Our approach provides more accurate out-of-sample predictions for recognition and recall than previous psychological models, and outperforms human participants in new studies of memorability prediction. Our approach’s predictive power stems from its ability to capture the semantic determinants of memorability in a data-driven manner. We identify which semantic categories are important for memorability and show that, unlike...
Goal-directed recruitment of Pavlovian biases through selective visual attention
Prospective outcomes bias behavior in a “Pavlovian” manner: Reward prospect invigorates action, while punishment prospect suppresses it. Theories have posited Pavlovian biases as global action “priors” in unfamiliar or uncontrollable environments. However, this account fails to explain the strength of these biases-causing frequent action slips-even in well-known environments. We propose that Pavlovian control is additionally useful if flexibly recruited by instrumental control. Specifically, instrumental action plans might shape selective attention to...
More is not necessarily better: How different aspects of sensorimotor experience affect recognition memory for words
Semantic richness theory predicts that words with richer, more distinctive semantic representations should facilitate performance in a word recognition memory task. We investigated the contribution of multiple aspects of sensorimotor experience-those relating to the body, communication, food, and objects-to word recognition memory, by analyzing megastudy data in a series of hierarchical linear regressions. We found that different forms of sensorimotor experience produced different effects on memory. While stronger grounding in object- and food-related experience...
Access to meaning from visual input: Object and word frequency effects in categorization behavior
Object and word recognition are both cognitive processes that transform visual input into meaning. When reading words, the frequency of their occurrence (“word frequency,” WF) strongly modulates access to their meaning, as seen in recognition performance. Does the frequency of objects in our world also affect access to their meaning? With object labels available in real-world image datasets, one can now estimate the frequency of occurrence of objects in scenes (“object frequency,” OF). We explored frequency effects in word and object recognition behavior by employing a...
The relative importance of target and judge characteristics in shaping the moral circle
People’s treatment of others (humans, nonhuman animals, or other entities) often depends on whether they think the entity is worthy of moral concern. Recent work has begun to investigate which entities are included in a person’s moral circle, examining how certain target characteristics (e.g., species category, perceived intelligence) and judge characteristics (e.g., empathy, political orientation) shape moral inclusion. However, the relative importance of target and judge characteristics in predicting moral inclusion remains unclear. When predicting whether a person...
Parsing patterns of reward responsiveness: Initial evidence from latent profile analysis
Variation in reward responsiveness has been linked to psychopathology. Reward responsiveness is a complex phenomenon that encompasses different temporal dimensions (i.e., reward anticipation or consumption) that can be measured using multiple appetitive stimuli. Furthermore, distinct measures, such as neural and self-report measures, reflect related but distinct aspects of reward responsiveness. To understand reward responsiveness more comprehensively and better identify deficits in reward responsiveness implicated in psychopathology, we examined ways multiple measures...
Feature identity determines representation structure in working memory
Visual working memory maintains both continuous-perceptual information and discrete-categorical information about memory items. Both types of information are represented in working memory, but the representation structure remains unknown. Continuous and categorical information about a single stimulus could be represented separately, in two different representations. Alternatively, continuous and categorical information could be represented jointly as a single representation. To investigate this, we fitted two different computational models to delayed estimation data...
One strike and you're a lout: Cherished values increase the stringency of moral character attributions
Moral dilemmas are inescapable in daily life, and people must often choose between two desirable character traits, like being a diligent employee or being a devoted parent. These moral dilemmas arise because people hold competing moral values that sometimes conflict. Furthermore, people differ in which values they prioritize, so we do not always approve of how others resolve moral dilemmas. How are we to think of people who sacrifice one of our most cherished moral values for a value that we consider less important? The “Good True Self Hypothesis” predicts that we will...
A unified explanation of variability and bias in human probability judgments: How computational noise explains the mean-variance signature
Human probability judgments are both variable and subject to systematic biases. Most probability judgment models treat variability and bias separately: a deterministic model explains the origin of bias, to which a noise process is added to generate variability. But these accounts do not explain the characteristic inverse U-shaped signature linking mean and variance in probability judgments. By contrast, models based on sampling generate the mean and variance of judgments in a unified way: the variability in the response is an inevitable consequence of basing probability...
Transition dynamics shape mental state concepts
People have a unique ability to represent other people’s internal thoughts and feelings-their mental states. Mental state knowledge has a rich conceptual structure, organized along key dimensions, such as valence. People use this conceptual structure to guide social interactions. How do people acquire their understanding of this structure? Here we investigate an underexplored contributor to this process: observation of mental state dynamics. Mental states-including both emotions and cognitive states-are not static. Rather, the transitions from one state to another are...
Mechanisms of cognitive disinhibition explain individual differences in adult attention deficit hyperactivity disorder traits
BACKGROUND: Attention deficit hyperactivity disorder (ADHD) in adults is strongly associated with psychiatric comorbidity and functional impairment. Here, we aimed to use a newly developed online cognitive battery with strong psychometric properties for measuring individual differences in three cognitive mechanisms proposed to underlie ADHD traits in adults: 1) attentional control - the ability to mobilize cognitive resources to stop a prepotent motor response; 2) information sampling/gathering - adequate sampling of information in a stimulus detection task prior...
Memory Consolidation during Ultra-Short Offline States
Traditionally, neuroscience and psychology have studied the human brain during periods of “online” attention to the environment, while participants actively engage in processing sensory stimuli. But emerging evidence shows that the waking brain also intermittently enters an “offline” state, during which sensory processing is inhibited and our attention shifts inward. In fact, humans may spend up to half of their waking hours offline (Killingsworth & Gilbert, 2010; Wamsley & Summer, 2020). The function of alternating between online and offline forms of...
Not so simple! Causal mechanisms increase preference for complex explanations
Mechanisms play a central role in how we think about causality, yet not all causal explanations describe mechanisms. Across five experiments, we find that people evaluate explanations differently depending on whether or not they include mechanisms. Despite common wisdom suggesting that explanations ought to be simple in the sense of appealing to as few causes as necessary to explain an effect, the literature is divided over whether people adhere to this principle. Our findings suggest that the presence of causal mechanisms in an explanation is one factor that reduces...
Dynamic changes in task preparation in a multi-task environment: The task transformation paradigm
A key element of human flexible behavior concerns the ability to continuously predict and prepare for sudden changes in tasks or actions. Here, we tested whether people can dynamically modulate task preparation processes and decision-making strategies when the identity of a to-be-performed task becomes uncertain. To this end, we developed a new paradigm where participants need to prepare for one of nine tasks on each trial. Crucially, in some blocks, the task being prepared could suddenly shift to a different task after a longer cue-target interval, by changing either...
Reduced discrimination between signals of danger and safety but not overgeneralization is linked to exposure to childhood adversity in healthy adults
Exposure to adverse childhood experiences (ACEs) is a strong predictor for developing behavioral, somatic and psychopathological conditions. Exposure to threat-related early adversity has been suggested to be specifically linked to altered emotional learning as well as changes in neural circuits involved in emotional responding and fear. Learning mechanisms are particularly interesting as they are central mechanisms through which environmental inputs shape emotional and cognitive processes and ultimately behavior. Multiple theories on the mechanisms underlying this...
Frontal midline theta power during the cue-target-interval reflects increased cognitive effort in rewarded task-switching
Cognitive performance largely depends on how much effort is invested during task-execution. This also means that we rarely perform as good as we could. Cognitive effort is adjusted to the expected outcome of performance, meaning that it is driven by motivation. The results from recent studies investigating the effects manipulations of motivation clearly suggest that it is the expenditure of cognitive control that is particularly prone to being affected by modulations of cognitive effort. Although recent EEG studies investigated the neural underpinnings of the...
On the (un)reliability of common behavioral and electrophysiological measures from the stop signal task: Measures of inhibition lack stability over time
Response inhibition, the intentional stopping of planned or initiated actions, is often considered a key facet of control, impulsivity, and self-regulation. The stop signal task is argued to be the purest inhibition task we have, and it is thus central to much work investigating the role of inhibition in areas like development and psychopathology. Most of this work quantifies stopping behavior by calculating the stop signal reaction time as a measure of individual stopping latency. Individual difference studies aiming to investigate why and how stopping latencies differ...
Neurocomputational mechanisms underlying differential reinforcement learning from wins and losses in obesity with and without Binge Eating
Binge Eating Disorder (BED) is thought of as a disorder of cognitive control but evidence regarding its neurocognitive mechanisms is inconclusive. A key limitation in prior research is the lack of clear separation between effects of BED and obesity. Moreover, research has largely disregarded self-report evidence that neurocognitive deficits may emerge primarily in contexts focused on avoiding aversive states. Addressing these gaps, this longitudinal study investigated behavioral flexibility and its underlying neuro-computational processes in approach and avoidance...
Awareness of implicit attitudes: Large-scale investigations of mechanism and scope
People can predict their scores on the Implicit Association Test with remarkable accuracy, challenging the traditional notion that implicit attitudes are inaccessible to introspection and suggesting that people might be aware of these attitudes. Yet, major open questions about the mechanism and scope of these predictions remain, making their implications unclear. Notably, people may be inferring their attitudes from externally observable cues (e.g., in the simplest case, their demographic information) rather than accessing them directly. This problem is exacerbated by...
Probabilistic models of delay discounting: improving plausibility and performance
Probabilistic models of delay discounting allow the estimation of discount functions without assuming that these functions describe sharp boundaries in decision making. However, existing probabilistic models allow for two implausible possibilities: first, that no reward might sometimes be preferred over some reward (e.g., $0 now over $100 in 1 year), and second, that the same reward might sometimes be preferred later rather than sooner (e.g., $100 in a year over $100 now). Here we show that probabilistic models of discounting perform better when they assign these cases...
A Series of Unfortunate Events: Do those who catastrophize learn more after negative outcomes?
Catastrophizing is a transdiagnostic construct that has been suggested to precipitate and maintain a multiplicity of psychiatric disorders, including anxiety, depression, PTSD and OCD. However, the underlying cognitive mechanisms that result in catastrophizing are unknown. Relating reinforcement learning model parameters to catastrophizing may allow us to further understand the process of catastrophizing.Objective: Using a modified four-armed bandit task, we aimed to investigate the relationship between reinforcement learning parameters and self-report catastrophizing...
Object-based encoding constrains storage in visual working memory
The fundamental unit of visual working memory (WM) has been debated for decades. WM could be object-based, such that capacity is set by the number of individuated objects, or feature-based, such that capacity is determined by the total number of feature values stored. The present work examined whether object- or feature-based models would best explain how multifeature objects (i.e., color/orientation or color/shape) are encoded into visual WM. If maximum capacity is limited by the number of individuated objects, then above-chance performance should be...