Influence of error-augmentation on the dynamics of visuomotor skill acquisition: insights from proxy-process models.

Our study addresses the critical question of how learners acquire skills without the constant crutch of feedback, using a specialized training approach with intermittent feedback. Despite recognized benefits in skill retention, the underlying mechanisms of intermittent feedback in motor control neuroscience remain elusive. Leveraging a previously published dataset from visuomotor learning experiments with intermittent feedback, we tested a wide range of proxy-process models that posit the presence of an inferred error signal even when an explicit sensory performance is not present. The model structures encompassed a spectrum from first-order to higher-order variants, incorporating both constant and error-dependent rates of change in error. Furthermore, these proxy-process models investigated the impact of error-augmentation (EA) training on visuomotor learning dynamics. Rigorous cross-validation consistently identified a second-order proxy-process model structure accurately predicting motor learning across subjects and learning tasks. Model parameters elucidated the varying influences of EA settings on the rates of change in error, inter-trial variability, and steady-state performance. We then introduced a dynamic-Proxy support Multi-Rate Motor Learning (dPxMRML) model, which shed light on EA's effects on the fast and slow learning dynamics. The dPxMRML model accurately predicted subjects' performance during and beyond training phases, highlighting EA settings conducive to long-term retention. This research yields crucial insights for personalized training program design, applicable in neuro-rehabilitation, sports, and performance training.NEW & NOTEWORTHY Breaking new ground in motor learning, our research unveils the intricacies of skill acquisition without continuous feedback. By using a specialized training approach with intermittent feedback, our study reveals the previously elusive mechanisms behind this process. The introduction of innovative proxy-process models, particularly the dynamic-Proxy support Multi-Rate Motor Learning (dPxMRML) model, brings a fresh perspective to understanding the impact of error-augmentation (EA) training on learning and retention of motor skills.

Tree water uptake patterns across the globe.

Plant water uptake from the soil is a crucial element of the global hydrological cycle and essential for vegetation drought resilience. Yet, knowledge of how the distribution of water uptake depth (WUD) varies across species, climates, and seasons is scarce relative to our knowledge of aboveground plant functions. With a global literature review, we found that average WUD varied more among biomes than plant functional types (i.e. deciduous/evergreen broadleaves and conifers), illustrating the importance of the hydroclimate, especially precipitation seasonality, on WUD. By combining records of rooting depth with WUD, we observed a consistently deeper maximum rooting depth than WUD with the largest differences in arid regions - indicating that deep taproots act as lifelines while not contributing to the majority of water uptake. The most ubiquitous observation across the literature was that woody plants switch water sources to soil layers with the highest water availability within short timescales. Hence, seasonal shifts to deep soil layers occur across the globe when shallow soils are drying out, allowing continued transpiration and hydraulic safety. While there are still significant gaps in our understanding of WUD, the consistency across global ecosystems allows integration of existing knowledge into the next generation of vegetation process models.

Statistical power analysis and sample size planning for moderated mediation models.

Conditional process models, including moderated mediation models and mediated moderation models, are widely used in behavioral science research. However, few studies have examined approaches to conduct statistical power analysis for such models and there is also a lack of software packages that provide such power analysis functionalities. In this paper, we introduce new simulation-based methods for power analysis of conditional process models with a focus on moderated mediation models. These simulation-based methods provide intuitive ways for sample-size planning based on regression coefficients in a moderated mediation model as well as selected variance and covariance components. We demonstrate how the methods can be applied to five commonly used moderated mediation models using a simulation study, and we also assess the performance of the methods through the five models. We implement our approaches in the WebPower R package and also in Web apps to ease their application.

An evidence-based change management model to guide NICHE implementation efforts.

Changing practice is complex and multifaceted. I discuss an evidence-based change management model that can be applied to guide clinical practice improvement projects. I use NICHE as a case example. The overall success of any change initiatives relies on creating and following an action plan to address the "what of change" and the "how of change". The "what of change" focuses on developing tailored interventions aligned with each nursing unit or service line strengths and opportunities to improve nursing care for older adults by implementing the four components of the NICHE practice model. The "how of change" focuses on the activities to prepare the environment to implement the NICHE practice model. Activities to manage the change process include how to effectively communicate a vision for change; mobilize managers, clinical leaders, and front-line staff to support the change in nursing practice; and tracking progress towards meeting clinical improvement goals over time.

Free will strikes back: Steady-state movement-related cortical potentials are modulated by cognitive control.

In psychology and neuroscience, opposition to free will has asserted that any degree of perceived self-control or choice is a mere epiphenomenon which provides no meaningful influence on action. The present research tested the validity of this conclusion by designing a paradigm in which the potential effect of self-monitoring on motor output could be investigated. Using a repetitive finger tapping task that evokes automatic patterns in participants tapping responses, we have obtained evidence that (1) participants may voluntarily reduce the predictability of their tapping patterns (2) by exercising cognitive control that (3) modulates response-locked steady-state movement-related potentials over primary and supplementary motor areas. These findings challenge the most radical accounts of the nonexistence of free will and instead provide support for a more balanced model of human behaviour in which cognitive control may constrain automatic response tendencies in response preparation and action execution.

Functional limitations before and after cancer diagnosis and contributing factors: findings from the China health and retirement longitudinal study.

BACKGROUND: Although there is a general trend of functional decline with age, there lacks an understanding of how cancer diagnosis and other factors may contribute to this trend. This study aimed to examine functional limitation trajectories among adults with and without cancer, and before versus after the cancer diagnosis, and to explore potential contributing factors associated with functional trajectories among cancer survivors. METHODS: The sample were middle-aged and older Chinese adults who participated in all 3 waves of the China Health and Retirement Longitudinal Study (CHARLS, 2011-2015). Ordinary and multiphase growth curve analyses were conducted to examine (1) differences in functional trajectories between participants with (n = 139) and without cancer (n = 7,313), (2) pre-and post-cancer diagnosis changes in functional limitations among those who reported a cancer diagnosis over the 4-year timeframe, and (3) contributing factors associated with functional trajectories among cancer survivors, guided by the Disablement Process Models, including psychological (depressive symptoms), physical (pain and falls), cognitive (self-reported memory problems), and environmental (social contact and available support) factors. RESULTS: There was a trend of increased functional limitations among all participants over time (unstandardized ß = 0.17, p < .0001). However, participants with cancer did not differ from non-cancer participants in neither the level (unstandardized ß = 0.77, p = .08) nor the rate of functional decline (unstandardized ß = -0.43, p = .07). Functional limitation trajectories were different pre- versus post-cancer diagnosis, although not in expected directions (unstandardized ß = -0.48, p < .05). Cancer survivors with greater pain had higher levels of functional limitations which were sustained over time compared to those with less pain (unstandardized ß = 0.93, p < .001). CONCLUSIONS: The study confirmed that Chinese middle-aged and older adults had overall decreased functional decline over time. A novel finding that cancer survivors experienced less rapidly functional decline after the cancer diagnosis suggested that cancer diagnosis might serve as an inflection point at which early intervention is promising to slow the functional decline. In addition, findings that within-person contributing factors, such as pain, can be influential in functional limitation trajectories suggested that more attention is needed to pay to patients with cancer-pain. These findings demonstrated the heterogeneity of functional limitation trajectories and needs for person-centered interventions among Chinese cancer survivors.

The predictive value of evaluative bias, attentional bias, approach bias, and self-regulatory control in soft drink consumption.

Global consumption of soft drinks has increased rapidly over the past 50 years, making this a major public health problem. Guided by dual-process models, the present study aimed to provide a comprehensive investigation of the roles of cognitive biases (evaluative, attentional, and approach biases) and self-regulatory control in soft drink consumption and choice. Participants were 128 undergraduate students (17-25 years). They completed computer-based measures of the three biases (Implicit Association Task, Dot Probe Task, and Approach Avoidance Task) and self-regulatory control (Go/no-go Task). Soft drink consumption and choice were measured using a taste test and a take home beverage choice task, respectively. Evaluative bias for soft drink cues was positively associated with the amount of soft drink consumed. Self-regulatory control was negatively correlated with amount of soft drink consumed, but only for men. There was no interaction between cognitive biases and self-regulatory control in predicting soft drink consumption or choice. Nonetheless, the results support the application of dual-process models to soft drink consumption in that automatic (evaluative bias) and controlled processes (self-regulatory control) each predicted amount of soft drink consumed, albeit independently and only for certain individuals. Future research should extend these findings to habitual soft drink consumers and to individuals who actively wish to limit their soft drink intake.

Testing predictions of a neural process model of visual attention in infancy across competitive and non-competitive contexts.

A key question in early development is how changes in neural systems give rise to changes in infants' behavior. We examine this question by testing predictions of a dynamic field (DF) model of infant spatial attention. We tested 5-, 7-, and 10-month-old infants in the Infant Orienting With Attention (IOWA) task containing the original non-competitive cue conditions (when a central stimulus disappeared before a cue onset) and new competitive cue conditions (when a central stimulus remained visible throughout the trial). This allowed testing of five model predictions: (1) that orienting accuracy would be higher and (2) reaction times would be slower for all competitive conditions; (3) that all infants would be slower to orient in the competitive conditions, though (4) older infants would show the strongest competition costs; and (5) that reaction times would be particularly slow for un-cued competitive conditions. Four of these five predictions were supported, and the remaining prediction was supported in part. We next examined fits of the model to the expanded task. New simulation results reveal close fits to the present findings after parameter modification. Critically, developmental parameters of the model were not altered, providing support for the DF model's account of neuro-developmental change.

What predicts employer discrimination? The role of implicit and explicit racial attitudes.

Hiring discrimination against black jobseekers remains prevalent in the United States. Yet, despite strong evidence about the existence of employer discrimination, we know relatively little about what motivates employers' discriminatory behavior. I draw on an original two-wave study with a sample of white hiring agents to examine whether respondents' explicit (deliberate) and implicit (automatic) racial attitudes predict their evaluations of white and black job applicants. Building on dual-process models of the attitude-behavior relationship, I theorize that the hiring process at many U.S. organizations-characterized by ambiguity, time pressure and distractions, and the legitimacy of emotions as a decision-making tool-encourages decision-making based on implicit rather than explicit cognition. Consistent with this theorization, I find implicit, but not explicit, racial attitudes predict respondents' evaluations of white applicants, and of black applicants relative to white applicants. This suggests hiring agents' behavior reflects implicit biases, rather than deliberate avoidance. The results further highlight the role of pro-white bias, not solely anti-black sentiment, in explaining discrimination: implicit attitudes were associated with bias in favor of white jobseekers, not only with discrimination against black jobseekers relative to white jobseekers. Finally, in open-ended responses, hiring agents explain their racially-motivated evaluations without invoking race, suggesting the ambiguity of the hiring process enables them to justify their behavior as colorblind. Together, these findings illustrate how employers can portray an egalitarian image while engaging in racially-motivated behavior.

Stacking Gaussian processes to improve [Formula: see text] predictions in the SAMPL7 challenge.

Accurate predictions of acid dissociation constants are essential to rational molecular design in the pharmaceutical industry and elsewhere. There has been much interest in developing new machine learning methods that can produce fast and accurate pKa predictions for arbitrary species, as well as estimates of prediction uncertainty. Previously, as part of the SAMPL6 community-wide blind challenge, Bannan et al. approached the problem of predicting [Formula: see text]s by using a Gaussian process regression to predict microscopic [Formula: see text]s, from which macroscopic [Formula: see text] values can be analytically computed (Bannan et al. in J Comput-Aided Mol Des 32:1165-1177). While this method can make reasonably quick and accurate predictions using a small training set, accuracy was limited by the lack of a sufficiently broad range of chemical space in the training set (e.g., the inclusion of polyprotic acids). Here, to address this issue, we construct a deep Gaussian Process (GP) model that can include more features without invoking the curse of dimensionality. We trained both a standard GP and a deep GP model using a database of approximately 3500 small molecules curated from public sources, filtered by similarity to targets. We tested the model on both the SAMPL6 and more recent SAMPL7 challenge, which introduced a similar lack of ionizable sites and/or environments found between the test set and the previous training set. The results show that while the deep GP model made only minor improvements over the standard GP model for SAMPL6 predictions, it made significant improvements over the standard GP model in SAMPL7 macroscopic predictions, achieving a MAE of 1.5 [Formula: see text].

The effect of television advertising on soft drink consumption: Individual vulnerabilities in approach bias and inhibitory control.

Continual exposure to soft drink cues in the environment is thought to be a major contributor to the rising consumption of soft drinks. This study investigated the effect of one such cue, television advertising, on soft drink choice and intake. Within the context of dual-process models, we examined whether any such effects would be stronger for individuals with an automatic tendency to reach for soft drinks (approach bias) or a difficulty resisting soft drinks (poor inhibitory control). Participants (N = 127; 18-25 years) viewed television advertisements for either soft drinks or control (non-sweetened) beverages. Approach bias and inhibitory control were assessed by soft drink versions of the approach-avoidance and go/no-go tasks, respectively. Participants who had viewed the soft drink advertisements were more likely to choose a soft drink as their first drink than those who had viewed the control advertisements. This effect was stronger for participants with an approach bias for soft drinks. In addition, participants with poorer inhibitory control chose more soft drinks overall following the soft drink advertisements. Although exposure to soft drink advertisements did not affect soft drink intake in the taste test, participants with poorer inhibitory control consumed more of the soft drinks. In line with dual-process models, individuals with strong automatic tendencies or poor self-regulatory control were more responsive to television advertising for soft drinks. At a practical level, these cognitive vulnerabilities provide potential targets for intervention to help resist soft drink cues.

Dual processes in fear and anxiety: no effects of cognitive load on the predictive value of implicit measures.

Dual process models posit that combinations of impulsive and reflective processes drive behaviour, and that the capacity to engage in effortful cognitive processing moderates the relation between measures of impulsive or reflective processes and actual behaviour. When cognitive resources are low, impulsive processes are more likely to drive behaviour, while when cognitive resources are high, reflective processes will drive behaviour. In our current study, we directly addressed this hypothesis by comparing the capacity of implicit and explicit measures to predict fear and anxiety, either with or without additional cognitive load. In Experiment 1 (N = 83), only explicit measures of spider fear were predictive of spider avoidance, and manipulating cognitive load did not affect these relations. Experiment 2 (N = 70) confirmed these findings, as the capacity of explicit and implicit measures to predict self-reported and physiological responses to a social stressor was not moderated by cognitive load. In two experiments, we thus found no empirical support for the central dual process model assumption that cognitive control moderates the predictive value of implicit and explicit measures. While implicit measures and dual process accounts may still be valuable, we show that results in this field are not necessarily replicable and inconsistent.

Predicting Social Distancing Intention and Behavior During the COVID-19 Pandemic: An Integrated Social Cognition Model.

BACKGROUND: Social distancing is a key behavior to minimize COVID-19 infections. Identification of potentially modifiable determinants of social distancing behavior may provide essential evidence to inform social distancing behavioral interventions. PURPOSE: The current study applied an integrated social cognition model to identify the determinants of social distancing behavior, and the processes involved, in the context of the COVID-19 pandemic. METHODS: In a prospective correlational survey study, samples of Australian (N = 365) and U.S. (N = 440) residents completed online self-report measures of social cognition constructs (attitude, subjective norm, moral norm, anticipated regret, and perceived behavioral control [PBC]), intention, action planning, habit, and past behavior with respect to social distancing behavior at an initial occasion. Follow-up measures of habit and social distancing behavior were taken 1 week later. RESULTS: Structural equation models indicated that subjective norm, moral norm, and PBC were consistent predictors of intention in both samples. Intention, action planning, and habit at follow-up were consistent predictors of social distancing behavior in both samples. Action planning did not have consistent effects mediating or moderating the intention-behavior relationship. Inclusion of past behavior in the model attenuated effects among constructs, although the effects of the determinants of intention and behavior remained. CONCLUSIONS: Current findings highlight the importance of subjective norm, moral obligation, and PBC as determinants of social distancing intention and intention and habit as behavioral determinants. Future research on long-range predictors of social distancing behavior and reciprocal effects in the integrated model is warranted.

Implicit? What Do You Mean? A Comprehensive Review of the Delusive Implicitness Construct in Attitude Research.

This article provides a comprehensive review of divergent conceptualizations of the "implicit" construct that have emerged in attitude research over the past two decades. In doing so, our goal is to raise awareness of the harmful consequences of conceptual ambiguities associated with this terminology. We identify three main conceptualizations of the "implicitness" construct: the procedural conceptualization (implicit-as-indirect), the functional conceptualization (implicit-as-automatic), and the mental theory conceptualization (implicit-as-associative), as well as two hybrid conceptualizations (implicit-as-indirect-and-automatic, implicit-as-driven-by-affective-gut-reactions). We discuss critical limitations associated with each conceptualization and explain that confusion also arises from their coexistence. We recommend discontinuing the usage of the "implicit" terminology in attitude research and research inspired by it. We offer terminological alternatives aimed at increasing both the precision of theorization and the practical value of future research.

Are there two independent evaluative conditioning effects in relational paradigms? Dissociating the effects of CS-US pairings and their meaning.

Recent research into evaluative conditioning (EC) shows that information about the relationship between the conditioned and unconditioned stimuli can exert strong effects on the size and direction of the EC effect. Additionally, the co-occurrence of these stimuli seems to exert an orthogonal effect on evaluations. This finding has been interpreted as support for two independent types of EC effects. However, previous research devoted to this question relied on aggregated evaluative measures, allowing for alternative interpretations. In four experiments, we developed and validated a multinomial processing tree model that distinguishes effects of the pairings from effects of the meaning of the pairings. Our findings suggest that two independent EC effects contribute to overall evaluative change in a relational EC paradigm. The model that we developed offers a helpful method for future research in that it allows for an assessment of the effects of manipulations on processes rather than overall performance on an evaluative measure.

Do Process-1 simulations generate the epistemic feelings that drive Process-2 decision making?

We apply previously developed Chu space and Channel Theory methods, focusing on the construction of Cone-Cocone Diagrams (CCCDs), to study the role of epistemic feelings, particularly feelings of confidence, in dual process models of problem solving. We specifically consider "Bayesian brain" models of probabilistic inference within a global neuronal workspace architecture. We develop a formal representation of Process-1 problem solving in which a solution is reached if and only if a CCCD is completed. We show that in this representation, Process-2 problem solving can be represented as multiply iterated Process-1 problem solving and has the same formal solution conditions. We then model the generation of explicit, reportable subjective probabilities from implicit, experienced confidence as a simulation-based, reverse engineering process and show that this process can also be modeled as a CCCD construction.

Associative Attitude Learning: A Closer Look at Evidence and How It Relates to Attitude Models.

Associative attitude learning is typically viewed as a low-level process that automatically registers mere co-occurrences between stimuli, independent of their validity and relational meaning. This view invites to critically examine how attitude formation conforms to four operating conditions (i.e., unawareness, efficiency, goal independence, and uncontrollability) and two operating principles (i.e., unqualified registration of mere co-occurrences between stimuli and formation of direct stimulus-response links), which is the main purpose of the present contribution. The general discussion examines how contemporary attitude models endorse these conditions and principles. Overall, this contribution calls for (a) a nuanced understanding of the nature and scope of associative attitude learning, (b) a fine-grained understanding of how contemporary attitude models endorse conditions and principles reviewed here and find them relevant to their theorization of attitude formation, (c) a clarification of how direct and indirect evaluative measures relate to these conditions and principles, and (d) enhanced efforts in specifying contemporary attitude formation models.

Effects of music, video, and 360-degree video on cycle ergometer exercise at the ventilatory threshold.

Despite the seemingly ubiquitous presence of audiovisual stimuli in modern exercise facilities, there is a dearth of research examining the effects of audiovisual stimuli in combination during exercise. Accordingly, we examined the influence of a range of audiovisual stimuli on the improvement of affective, perceptual, and enjoyment responses to cycle ergometer exercise at the ventilatory threshold (VT), an intensity that is associated with the most affect-related interindividual variability. A within-subject design was employed, and participants (N = 18) completed a 25-minute protocol that consisted of 2 minutes of seated rest, 5 minutes of warm-up, 10 minutes of exercise at VT, 5 minutes of cooldown, and 3 minutes of seated rest. Participants exercised at VT under music, video, music-video, 360-degree video, 360-degree video with music, and control conditions. The results revealed a condition × time interaction for perceived activation and a main effect of condition for state attention and perceived enjoyment. The 360-degree video with music condition elicited the most positive affective valence, greatest perceived activation, most dissociative thoughts, and highest ratings of perceived enjoyment. The present findings indicate that audiovisual stimuli can influence affective, perceptual, and enjoyment responses to cycle ergometer exercise at the VT. Given the emerging support pertaining to a positive relationship between affective responses and exercise adherence, audiovisual stimuli, such as 360-degree video with music, should be considered as a means by which to promote an enjoyable exercise experience.

An integrative memory model of recollection and familiarity to understand memory deficits.

Humans can recollect past events in details (recollection) and/or know that an object, person, or place has been encountered before (familiarity). During the last two decades, there has been intense debate about how recollection and familiarity are organized in the brain. Here, we propose an integrative memory model which describes the distributed and interactive neurocognitive architecture of representations and operations underlying recollection and familiarity. In this architecture, the subjective experience of recollection and familiarity arises from the interaction between core systems (storing particular kinds of representations shaped by specific computational mechanisms) and an attribution system. By integrating principles from current theoretical views about memory functioning, we provide a testable framework to refine the prediction of deficient versus preserved mechanisms in memory-impaired populations. The case of Alzheimer's disease (AD) is considered as an example because it entails progressive lesions starting with limited damage to core systems before invading step-by-step most parts of the model-related network. We suggest a chronological scheme of cognitive impairments along the course of AD, where the inaugurating deficit would relate early neurodegeneration of the perirhinal/anterolateral entorhinal cortex to impaired familiarity for items that need to be discriminated as viewpoint-invariant conjunctive entities. The integrative memory model can guide future neuropsychological and neuroimaging studies aiming to understand how such a network allows humans to remember past events, to project into the future, and possibly also to share experiences.

Explicit Attitudes, Working Memory Capacity, and Driving After Drinking.

BACKGROUND: Attitudes toward driving after drinking are strongly predictive of drinking and driving behavior. This study tested working memory capacity (WMC) as a moderator of the association between attitudes and drinking and driving behavior. Consistent with dual process models of cognition, we hypothesized that the association between perceived danger and drinking and driving would be stronger for individuals with higher WMC. METHODS: Participants (N = 161) enrolled in larger alcohol administration study were randomly assigned to an alcohol (n = 57), placebol (n = 52), or control (n = 52, not included) beverage condition. Past-year frequency of driving after drinking and WMC were assessed at baseline. Attitudes were assessed by asking participants to rate the perceived danger of driving at their current level of intoxication twice on the ascending limb (AL1, AL2), at peak breath alcohol concentration (BrAC), and twice on the descending limb (DL1, DL2). RESULTS: Analyses across the BrAC curve indicated that the hypothesized interaction was observed for the alcohol but not placebo condition. Analyses for each assessment point indicated that the interaction was significant for the ascending limb and peak BrAC. In the alcohol condition, for those higher in WMC, lower perceived dangerousness was strongly associated with increased driving after drinking (AL1: incident rate ratios [IRR] = 5.87, Wald's χ2  = 12.39, p = 0.006, 95% CI [2.19, 15.75]; AL2: IRR = 8.17, Wald's χ2  = 11.39, p = 0.001, 95% CI [2.41, 27.66]; Peak: IRR = 5.11, Wald's χ2  = 9.84, p = 0.002, 95% CI [1.84, 14.16]). Associations were not significant at low WMC. CONCLUSIONS: Results suggest that individuals higher in WMC are more likely to act consistently with their explicit attitudes toward drinking and driving. Findings may have implications for existing drinking and driving interventions and suggest the potential for novel interventions targeting implicit associations or WMC.