Positive Reward Research Articles

Shaping the Character of Early Childhood: Teacher Strategies for Improving Emotional Regulation in Early Childhood at Tunas Pancasila Krasakageng Kindergarten

This research is motivated by the problems faced by children who basically have varying emotional levels. Early childhood is faced with the demand to learn to control their own emotions from an early age. The aim of this research is to understand how emotional regulation occurs in young children in Group B1 at the Tunas Pancasila Krasakageng Kindergarten and why emotional regulation can occur in children. This research also aims to identify the strategies used by teachers to improve emotional regulation abilities in early childhood. This research uses a qualitative method with a case study type of research. This research was conducted on 23-24 November 2023 at the Tunas Pancasila Krasakageng Kindergarten in Group B1. The subjects of this research were the school principal, homeroom teacher and Group B1 children. Data collection techniques were carried out using observation, interviews and documentation methods. Data analysis was carried out by condensing data, presenting data, and drawing conclusions. Meanwhile, the data validity test used is triangulation of techniques and sources. The results of this research are that there are still children who have not implemented emotional regulation well and have not been able to control their emotions independently. The teacher's strategy for improving emotional regulation in young children in Group B1 of the Tunas Pancasila Krasakageng Kindergarten is: (1) The teacher calms the child if the child shows emotion, 2) Provides examples of how to overcome disappointment and tension in the child. (3) Provides positive rewards. in children when they are able to behave well. (4) The teacher provides a calm and comfortable atmosphere for learning activities. (5) Teaches children to play supportively. (6) Teachers establish good communication with children without discriminating, (7) Introduce students to an attitude of tolerance

Curiosity Satisfaction Increases Event-related Potentials Sensitive to Reward.

Successful learning depends on various factors such as depth of processing, motivation, or curiosity about information. A strong drive to learn something or the expectation of receiving a reward can be crucial to enhance learning. However, the influence of curiosity on the processing of new information and its similarity with reward processing is not well understood. This study examined whether states of curiosity influence specific ERPs associated with reward processing and whether these ERPs are related with later memory benefits. In an initial screening phase, participants indicated their curiosity and confidence in prior knowledge about answers to various trivia questions. In a subsequent study phase, we targeted different time windows related to reward processing during the presentation of trivia answers containing the reward positivity (RewP; 250-350 msec), the P3 (250-500 msec), and the late-positive-potential (LPP; 600-1000 msec). In a following surprise memory test, we found that participants recalled more high- than low-curiosity answers. The RewP, P3, and LPP showed greater positive mean amplitudes for high compared with low curiosity, reflecting increased reward processing. In addition, we found that the RewP and the P3 showed more positive mean amplitudes for later recalled compared with later forgotten answers, but curiosity did not modulate this encoding-related results. These findings support the view that the satisfaction of curiosity resembles reward processing, indicated by ERPs.

Differentiating anticipatory and consummatory reward processing in problematic pornography use: An event-related potential analysis of reward dynamics

Problematic pornography use (PPU) is characterized by compulsive and uncontrolled pornography consumption due to a disordered reward processing system. Past studies have shown that reward involves multiple stages, but the connection between these specific stages and PPU remains unclear. In this research, an electrophysiological incentive delay task (IDT) was employed, using both erotic and monetary incentives as rewards, to decompose the distinct phases of both anticipatory and consummatory aspects of reward processing. ERP components linked to reward anticipation (cue-P3 and contingent negative variation, CNV), as well as reward feedback (reward positivity; RewP and feedback-P3; fb-P3), were investigated in a group of 31 individuals with PPU and 33 control participants. In contrast to the control group, who reacted faster to monetary cues, individuals with PPU responded more quickly to erotic cues. RT differences between erotic and monetary cues correlated with CNV amplitudes during anticipation, although no significant CNV differences across groups. In the consummatory phase, controls had higher RewP for large-monetary than large-erotic rewards, not seen in the PPU group. Conversely, the PPU group had increased fb-P3 for large-erotic over large-monetary rewards, a trend absents in controls. Our findings indicate an imbalanced sensitivity in PPU to erotic versus non-erotic rewards, evident in both the anticipatory and consummatory aspects of reward processing. This imbalance could lead to a preference for erotic rewards, possibly fostering addictive sexual behaviors.

Results of the Inquiry of Teaching Factors Affecting Students' Attitude in the Classroom

After some research done inside the Universidad Tecnológica de Tecamachalco, it was reflected that the professor’s behavior has a big impact on students' English learning process. It was seen that students can feel confident if the professor shows them empathy while having classes and, it can have a bigger impact if the professor supports them while facing some learning problem. Also, if there is a rapport after the activity it motivates even more the students’ enhancement. According to a previous paper research students feel alone in the challenge of learning English at the Universidad Tecnológica de Tecamachalco, so a questionnaire about their emotions was applied to obtain information about support, motivation, regulation of emotions, enhancement of mnemonics, and positive rewards to accomplish goals.

Prediction-error-dependent processing of immediate and delayed positive feedback

Learning often involves trial-and-error, i.e. repeating behaviours that lead to desired outcomes, and adjusting behaviour when outcomes do not meet our expectations and thus lead to prediction errors (PEs). PEs have been shown to be reflected in the reward positivity (RewP), an event-related potential (ERP) component between 200 and 350 ms after performance feedback which is linked to striatal processing and assessed via electroencephalography (EEG). Here we show that this is also true for delayed feedback processing, for which a critical role of the hippocampus has been suggested. We found a general reduction of the RewP for delayed feedback, but the PE was similarly reflected in the RewP and the later P300 for immediate and delayed positive feedback, while no effect was found for negative feedback. Our results suggest that, despite processing differences between immediate and delayed feedback, positive PEs drive feedback processing and learning irrespective of delay.

Reward positivity affects temporal interval production in a continuous timing task.

The neural circuits of reward processing and interval timing (including the perception and production of temporal intervals) are functionally intertwined, suggesting that it might be possible for momentary reward processing to influence subsequent timing behavior. Previous animal and human studies have mainly focused on the effect of reward on interval perception, whereas its impact on interval production is less clear. In this study, we examined whether feedback, as an example of performance-contingent reward, biases interval production. We recorded EEG from 20 participants while they engaged in a continuous drumming task with different realistic tempos (1728 trials per participant). Participants received color-coded feedback after each beat about whether they were correct (on time) or incorrect (early or late). Regression-based EEG analysis was used to unmix the rapid occurrence of a feedback response called the reward positivity (RewP), which is traditionally observed in more slow-paced tasks. Using linear mixed modeling, we found that RewP amplitude predicted timing behavior for the upcoming beat. This performance-biasing effect of the RewP was interpreted as reflecting the impact of fluctuations in reward-related anterior cingulate cortex activity on timing, and the necessity of continuous paradigms to make such observations was highlighted.

Abnormal neural sensitivity to rewards as a candidate process of high depression risk in the FMR1 premutation: A pilot study

The etiological heterogeneity of depression poses a challenge for prevention and intervention efforts. One solution is to map unique etiological pathways for subgroups defined by a singular risk factor. A relevant population for this approach is women who carry the premutation of the fragile X messenger ribonucleoprotein 1 (FMR1) gene, who are at high risk for adult-onset depression. This study explores a candidate neurophysiological marker of depression risk: reduced reward sensitivity, indexed by the reward positivity (RewP). The RewP has been linked to depression risk in the general population, but is unexplored within FMR1 premutation carriers. 16 women with the FMR1 premutation and a matched control group completed a simple guessing task while the electroencephalogram was recorded. Among premutation carriers, RewP difference score (win versus loss) was reduced. These preliminary finding suggest that the FMR1 premutation may confer increased risk for depression in part through abnormal neural sensitivity to rewards.

Heightened neural reward responsiveness functions as a plasticity factor moderating the association between childhood emotional abuse and young adult depressive symptoms: Evidence of differential susceptibility.

As a neural indicator of reward responsiveness (RR), reward positivity (RewP) has been demonstrated to moderate the association between stress exposure and depressive symptoms. However, extant research has primarily (a) focused on life stress rather than early maltreatment, (b) ignored the time-frequency components, and (c) has been based on a traditional perspective of diathesis stress. The present study aimed to comprehensively examine whether and how neurophysiological (RewP and its time-frequency decomposition components) and self-reported measures of RR interact with childhood emotional abuse on young adult depressive symptoms. The sample of 192 Chinese university students aged 18-25 (Mage = 21.08 ± 1.91 years; 59.4% girls) completed self-reported questionnaires of emotional abuse, depressive symptoms and RR. The RewP and its time-frequency components delta and theta were elicited via a monetary reward task. The results demonstrated that RewP significantly moderated the association between emotional abuse and young adult depressive symptoms in a differential susceptibility but not diathesis-stress manner. However, gain-related delta, loss-related theta, or self-reported RR did not drive such moderation effects. These findings were robust and survived a series of rigorous sensitivity analyses. The current findings provide preliminary evidence that heightened RewP may function as a plasticity factor moderating the association between early maltreatment exposure and depression, and highlight the effect specific to emotional abuse. However, caution should be paid to the generalizability of these findings in high-risk clinical samples, in light of the current high-functioning sample features and low rates of high symptom and abuse levels. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

The effect of reward prediction errors on subjective affect depends on outcome valence and decision context.

The valence of an individual's emotional response to an event is often thought to depend on their prior expectations for the event: better-than-expected outcomes produce positive affect and worse-than-expected outcomes produce negative affect. In recent years, this hypothesis has been instantiated within influential computational models of subjective affect that assume the valence of affect is driven by reward prediction errors. However, there remain a number of open questions regarding this association. In this project, we investigated the moderating effects of outcome valence and decision context (Experiment 1: free vs. forced choices; Experiment 2: trials with vs. trials without counterfactual feedback) on the effects of reward prediction errors on subjective affect. We conducted two online experiments (N = 300 in total) of general-population samples recruited via Prolific to complete a risky decision-making task with an embedded high-resolution sampling of subjective affect. Hierarchical Bayesian computational modeling revealed that both outcome amount and reward prediction errors influenced subjective affect, but that the effects of reward prediction errors were moderated by both outcome valence and decision context. Specifically, we found evidence that only negative reward prediction errors (worse-than-expected outcomes) influenced subjective affect, with no significant effect of positive reward prediction errors (better-than-expected outcomes). Moreover, these effects were only apparent on trials in which participants made a choice freely (but not on forced-choice trials) and when counterfactual feedback was absent (but not when counterfactual feedback was present). These results deepen our understanding of the effects of reward prediction errors on subjective affect. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Multi-Objective Reinforcement Learning Application in the View of Agent AI Safety

Reinforcement learning is frequently used to make single decisions using a single decision-based algorithm, where a single objective function is solved, for example, in an agent playing chess, the movement of any player is observed from previous action by considering whether it has received positive or negative reward based on this it will proceed. Nowadays, the requirement of making sequential decisions is complex for this reason. Learning involves using two or more objective functions to address a challenge in multiobjective reinforcement. As an illustration, consider a client purchasing a car and maximising conveniences like minimising fuel use, keeping costs low, and fitting additional luxury items in the automobile. Multi-objective reinforcement learning is applicable in decision-making sequential problem-solving applications. Still, at the same time, we need to avoid the risk that Artificial intelligence agents will be having when problem-solving using MOO-based algorithms. In this paper, we discuss how we use Multi-Objective Optimization (MOO)- based algorithm to low-impact agents for artificial intelligence (AI) safety.

A Theory of Non-acyclic Generative Flow Networks

GFlowNets is a novel flow-based method for learning a stochastic policy to generate objects via a sequence of actions and with probability proportional to a given positive reward. We contribute to relaxing hypotheses limiting the application range of GFlowNets, in particular: acyclicity (or lack thereof). To this end, we extend the theory of GFlowNets on measurable spaces which includes continuous state spaces without cycle restrictions, and provide a generalization of cycles in this generalized context. We show that losses used so far push flows to get stuck into cycles and we define a family of losses solving this issue. Experiments on graphs and continuous tasks validate those principles.

Relations Between Neighborhood Disadvantage and Electrocortical Reward Processing in Youth at High and Low Risk for Depression.

Neighborhood-level disadvantage during childhood is a determinant of health that is hypothesized to confer risk for psychopathology via alterations in neuro-affective processing, including reward responsiveness. However, little research has examined the impact of socioeconomic disadvantage assessed at the community-level on reward processing, which may have important implications for targeted dissemination efforts. Furthermore, not all youth exposed to neighborhood disadvantage may exhibit alterations in reward reactivity, highlighting the need to consider factors that may exacerbate risk for blunted reward reactivity. The current study examined associations between geocoded indices of neighborhood disadvantage and electrocortical reward responsivity in youth and tested whether findings were moderated by maternal history of depression. The sample included 137 youth recruited for studies on the intergenerational transmission of depression. Neighborhood disadvantage was assessed using the Area Deprivation Index (ADI) while the reward positivity (RewP), an event-related potential, indexed reward response. Results revealed a significant interaction between ADI and maternal history of depression on youth RewP, such that greater neighborhood disadvantage was significantly associated with lower reward responsiveness, but only for youth with a maternal history of depression. Results were maintained controlling for youth internalizing symptoms and individual-level socioeconomic factors. Findings suggest that neighborhood disadvantage may impact youth neural reward processing, at least partially independently of individual risk factors, for youth with a maternal history of depression. If replicated, results suggest intervention efforts may be implemented at the community level to enhance reward responsiveness, specifically for youth living in low-resourced neighborhoods with a maternal history of depression.

Effort expenditure modulates feedback evaluations involving self-other agreement: evidence from brain potentials and neural oscillations.

The influence of effort expenditure on the subjective value in feedback involving material reward has been the focus of previous research. However, little is known about the impact of effort expenditure on subjective value evaluations when feedback involves reward that is produced in the context of social interaction (e.g. self-other agreement). Moreover, how effort expenditure influences confidence (second-order subjective value) in feedback evaluations remains unclear. Using electroencephalography, this study aimed to address these questions. Event-related potentials showed that, after exerting high effort, participants exhibited increased reward positivity difference in response to self-other (dis)agreement feedback. After exerting low effort, participants reported high confidence, and the self-other disagreement feedback evoked a larger P3a. Time-frequency analysis showed that the high-effort task evoked increased frontal midline theta power. In the low (vs. high)-effort task, the frontal midline delta power for self-other disagreement feedback was enhanced. These findings suggest that, at the early feedback evaluation stage, after exerting high effort, individuals exhibit an increased sensitivity of subjective value evaluation in response to self-other agreement feedback. At the later feedback evaluation stage, after completing the low-effort task, the self-other disagreement feedback violates the individuals'high confidence and leads to a metacognitive mismatch.

Losses disguised as wins evoke the reward positivity event-related potential in a simulated machine gambling task.

Electronic gambling machines include a suite of design characteristics that may contribute to gambling-related harms and require more careful attention of regulators and policymakers. One strategy that has contributed to these concerns is the presentation of "losses disguised as wins" (LDWs), a type of salient losing outcome in which a gambling payout is less than the amount wagered (i.e., a net loss), but is nonetheless accompanied by the celebratory audio-visual stimuli that typically accompany a genuine win. These events could thereby be mistaken for gains, or otherwise act as a reward signal, reinforcing persistent gambling, despite being a loss. This study aimed to determine whether LDWs evoke a reward positivity component in a task modeled on slot machine gambling. A prominent account of the reward positivity event-related potential suggests that it is evoked during the positive appraisal of task-related feedback, relative to neutral or negative events, or that it is evoked by neural systems that implement the computation of a positive reward prediction error. We recruited 32 individuals from university recruitment pools and asked them to engage in a simple gambling task designed to mimic key features of a slot machine design. The reward positivity was identified using temporospatial principal components analysis. Results indicated a more positive reward positivity following LDWs relative to clear losses, consistent with the theory that LDWs contribute to positive reinforcement of continued gambling, despite being net losses.

Fractional amplitude of low-frequency fluctuations associated with μ-opioid and dopamine receptor distributions in the central nervous system after high-intensity exercise bouts.

Dopaminergic, opiod and endocannabinoid neurotransmission are thought to play an important role in the neurobiology of acute exercise and, in particular, in mediating positive affective responses and reward processes. Recent evidence indicates that changes in fractional amplitude of low-frequency fluctuations (zfALFF) in resting-state functional MRI (rs-fMRI) may reflect changes in specific neurotransmitter systems as tested by means of spatial correlation analyses. Here, we investigated this relationship at different exercise intensities in twenty young healthy trained athletes performing low-intensity (LIIE), high-intensity (HIIE) interval exercises, and a control condition on three separate days. Positive And Negative Affect Schedule (PANAS) scores and rs-fMRI were acquired before and after each of the three experimental conditions. Respective zfALFF changes were analyzed using repeated measures ANOVAs. We examined the spatial correspondence of changes in zfALFF before and after training with the available neurotransmitter maps across all voxels and additionally, hypothesis-driven, for neurotransmitter maps implicated in the neurobiology of exercise (dopaminergic, opiodic and endocannabinoid) in specific brain networks associated with "reward" and "emotion." Elevated PANAS Positive Affect was observed after LIIE and HIIE but not after the control condition. HIIE compared to the control condition resulted in differential zfALFF decreases in precuneus, temporo-occipital, midcingulate and frontal regions, thalamus, and cerebellum, whereas differential zfALFF increases were identified in hypothalamus, pituitary, and periaqueductal gray. The spatial alteration patterns in zfALFF during HIIE were positively associated with dopaminergic and μ-opioidergic receptor distributions within the 'reward' network. These findings provide new insight into the neurobiology of exercise supporting the importance of reward-related neurotransmission at least during high-intensity physical activity.

Delta robot control by learning systems: Harnessing the power of deep reinforcement learning algorithms

The present study focuses on the implementation of Deep Reinforcement Learning (Deep-RL) techniques for a parallel manipulator robot, specifically the Delta Robot, within a simulated setting. We introduced a simulation framework designed to guide the Delta Robot’s end-effector to a designated spatial point accurately. Within this environment, the robotic agent undergoes a learning process grounded in trial and error. It garners positive rewards for successful predictions regarding the next action and faces negative repercussions for inaccuracies. Through this iterative learning mechanism, the robot refines its strategies, thereby establishing improved decision-making rules based on the ever-evolving environment states. Our investigation delved into three distinct Deep-RL algorithms: the Deep Q-Network Algorithm (DQN), the Double Deep Q-Network (DDQN), and the Trust Region Policy Optimization Algorithm (TRPO). All three methodologies were adept at addressing the challenge presented, and a comprehensive discussion of the findings is encapsulated in the subsequent sections of the paper.

Does effort increase or decrease reward valuation? Considerations from cognitive dissonance theory.

The present research tested the effect of manipulated perceived control (over obtaining the outcomes) and effort on reward valuation using the event-related potential known as the Reward Positivity (RewP). This test was conducted in an attempt to integrate two research literatures with opposite findings: Effort justification occurs when high effort leads to high reward valuation, whereas effort discounting occurs when high effort leads to low reward valuation. Based on an examination of past methods used in these literatures, we predicted that perceived control and effort would interactively influence RewP. Consistent with the effort justification literature (cognitive dissonance theory), when individuals have high perceived control, high effort should lead to more reward valuation than low effort should. Consistent with the effort discounting literature, when individuals have low perceived control, low effort should lead to more reward valuation than high effort should. Results supported these interactive and integrative predictions.

Dynamics Learning Rate Bias in Pigeons: Insights from Reinforcement Learning and Neural Correlates

Research in reinforcement learning indicates that animals respond differently to positive and negative reward prediction errors, which can be calculated by assuming learning rate bias. Many studies have shown that humans and other animals have learning rate bias during learning, but it is unclear whether and how the bias changes throughout the entire learning process. Here, we recorded the behavior data and the local field potentials (LFPs) in the striatum of five pigeons performing a probabilistic learning task. Reinforcement learning models with and without learning rate biases were used to dynamically fit the pigeons’ choice behavior and estimate the option values. Furthemore, the correlation between the striatal LFPs power and the model-estimated option values was explored. We found that the pigeons’ learning rate bias shifted from negative to positive during the learning process, and the striatal Gamma (31 to 80 Hz) power correlated with the option values modulated by dynamic learning rate bias. In conclusion, our results support the hypothesis that pigeons employ a dynamic learning strategy in the learning process from both behavioral and neural aspects, providing valuable insights into reinforcement learning mechanisms of non-human animals.

Reduced reward responsiveness and depression vulnerability: Consideration of social contexts and implications for intervention.

Depression is a prevalent, heterogeneous, and debilitating disorder that often emerges in adolescence, and there is a need to better understand vulnerability processes to inform more targeted intervention efforts. Psychophysiological methods, like event-related potentials (ERPs), can offer unique insights into the cognitive and emotional processes underlying depression vulnerability. I review my and others' research examining ERP measures of reward responsiveness in youth depression and present a conceptual model of the development of low reward responsiveness, its role in depression vulnerability, and potential windows for targeted intervention. There is evidence that ablunted reward positivity (RewP) is observable in children at risk for depression, appears to be shaped in part by early social experiences, and predicts later depressive symptoms in combination with other risk factors like stress exposure. Further, a component consistent with RewP is reliably elicited in response to social acceptance feedback in computerized peer interaction tasks and demonstrates unique associations with social contextual factors and depressive symptoms, supporting the utility of developing psychophysiological tasks that may better capture youths' real-world experiences and social risk processes. In addition, I address the translational implications of clinical psychophysiological research and describe a series of studies showing that a reduced RewP predicts greater reductions in depressive symptoms with treatment but is not modifiable by current treatments like cognitive behavioral therapy. Finally, I describe our preliminary efforts to develop a positive emotion-focused intervention for the offspring of depressed mothers, informed by the RewP literature, and describe future directions for translating psychophysiological research to intervention and prevention.

A meta-analysis of electrophysiological biomarkers of reward and error monitoring in substance misuse.

Substance use disorders are characterized by marked changes in reward and error processing. The primary objective of this meta-analysis was to estimate effect sizes for the reward positivity (RewP) and error-related negativity (ERN), two event-related potential indicators of outcome monitoring, in substance users compared to controls. The secondary objective was to test for moderation by demographic, substance type, and EEG experiment parameters. Final PubMed searches were performed in August 2023. Inclusion criteria were substance use disorder/dependence or validated self-report of substance misuse, RewP/ERN means available, healthy control comparison group, non-acute drug study, peer-reviewed journal, English language, and human participants. Selection bias was tested through modified Egger's regression and exploratory 3-parameter selection model tests. The RewP results (19 studies, 1641 participants) did not support an overall effect (Hedges' g = 0.07, 95% CI [-0.44, 0.58], p = .777) and nor effect of any moderators. The ERN results (20 studies, 1022 participants) indicated no significant overall effect (g = 0.41, 95%CI [-0.05, 0.88]). Subgroup analyses indicated that cocaine users had a blunted ERN compared to controls (g = 1.12, 95%CI [0.77, 1.47]). There was limited evidence for publication/small study bias. Although the results indicate a potential dissociation between substance types, this meta-analysis revealed the need for additional research on the RewP/ERN in substance using populations and for better designed experiments that adequately address research questions.