High-value Reward Research Articles

Selective reactivation of value- and place-dependent information during sharp-wave ripples in the intermediate and dorsal hippocampus.

Reactivating place cells during sharp-wave ripples in the hippocampus is important for memory consolidation. However, whether hippocampal reactivation is affected by the values of events experienced by the animal is largely unknown. Here, we investigated whether place cells in the dorsal (dHP) and intermediate hippocampus (iHP) of rats are differentially reactivated depending on the value associated with a place during the learning of places associated with higher-value rewards in a T-maze. Place cells in the iHP representing the high-value location were reactivated significantly more frequently than those representing the low-value location, characteristics not observed in the dHP. In contrast, the activities of place cells in the dHP coding the routes leading to high-value locations were replayed more than those in the iHP. Our findings suggest that value-based differential reactivation patterns along the septotemporal axis of the hippocampus may play essential roles in optimizing goal-directed spatial learning for maximal reward.

The Affective Bias Test and Reward Learning Assay: Neuropsychological Models for Depression Research and Investigating Antidepressant Treatments in Rodents.

The Affective Bias Test (ABT) quantifies acute changes in affective state based on the affective biases they generate in an associative reward learning task. The Reward Learning Assay (RLA) provides a control assay for the ABT and reward-induced biases generated in this model are sensitive to changes in core affective state. Both tasks involve training animals to associate a specific digging substrate with a food reward. Animals learn to discriminate between two digging substrates placed in ceramic bowls, one rewarded and one unrewarded. In the ABT, the animal learns two independent substrate-reward associations with a fixed reward value following either an affective state or drug manipulation, or under control conditions. Affective biases generated are quantified in a choice test where the animals exhibit a bias (make more choices) for one of the substrates which is specifically related to affective state at the time of learning. The ABT is used to investigate biases generated during learning as well as modulation of biases associated with past experiences. The RLA follows a similar protocol, but the animal remains in the same affective state throughout and a reward-induced bias is generated by pairing one substrate with a higher value reward. The RLA provides a control to determine if drug treatments affect memory retrieval more generally. Studies in depression models and following environmental enrichment suggest that reward-induced biases are sensitive to core changes in affective state. Each task offers different insights into affective processing mechanisms and may help improve the translational validity of animal studies and benefit pre-clinical drug development. © 2024 The Authors. Current Protocols published by Wiley Periodicals LLC. Basic Protocol 1: Bowl digging and discrimination training Basic Protocol 2: The reward learning assay Basic Protocol 3: The affective bias test - new learning Basic Protocol 4: The affective bias test - modulation of affective biases associated with past experiences.

Reward enhancement of item-location associative memory spreads to similar items within a category

ABSTRACT The experience of a reward appears to enhance memory for recent prior events, adaptively making that information more available to guide future decision-making. Here, we tested whether reward enhances memory for associative item-location information and also whether the effect of reward spreads to other categorically-related but unrewarded items. Participants earned either points (Experiment 1) or money (Experiment 2) through a time-estimation reward task, during which stimuli-location pairings around a 2D-ring were shown followed by either high-value or low-value rewards. All stimuli were then tested for location memory or recognition (yes/no), immediately and after a 24-hour delay. Across both experiments (combined analysis), there was a robust improvement in location memory following high-value rewards, even though evidence supporting this effect was reliable in Experiment 2 but not in Experiment 1. The memory-enhancing effect of reward was observed on both the immediate and delayed location-memory tests. Reward-enhanced memory for both directly rewarded stimuli and categorically related stimuli that were not directly rewarded. No reliable effect of reward value on yes/no recognition-memory performance was observed in either experiment. We hypothesise that reward enhances the consolidation of recent experience and conceptually related memories to make these more available for future decisions.

Neural Hyperresponsivity During the Anticipation of Tangible Social and Nonsocial Rewards in Autism Spectrum Disorder: A Concurrent Neuroimaging and Facial Electromyography Study

BackgroundAtypical anticipation of social reward has been shown to lie at the core of the social challenges faced by individuals with autism spectrum disorder (ASD). However, previous research has yielded inconsistent results and has often overlooked crucial characteristics of stimuli. Here, we investigated ASD reward processing using social and nonsocial tangible stimuli, carefully matched on several key dimensions. MethodsWe examined the anticipation and consumption of social (interpersonal touch) and nonsocial (flavored milk) rewards in 25 high-functioning individuals with ASD and 25 neurotypical adult individuals. In addition to subjective ratings of wanting and liking, we measured physical energetic expenditure to obtain the rewards, brain activity with neuroimaging, and facial reactions through electromyography on a trial-by-trial basis. ResultsParticipants with ASD did not exhibit reduced motivation for social or nonsocial rewards; their subjective ratings, motivated efforts, and facial reactions were comparable to those of neurotypical participants. However, anticipation of higher-value rewards increased neural activation in lateral parietal cortices, sensorimotor regions, and the orbitofrontal cortex. Moreover, participants with ASD exhibited hyperconnectivity between frontal medial regions and occipital regions and the thalamus. ConclusionsIndividuals with ASD who experienced rewards with tangible characteristics, whether social or nonsocial, displayed typical subjective and objective motivational and hedonic responses. Notably, the observed hyperactivations in sensory and attentional nodes during anticipation suggest atypical sensory overprocessing of forthcoming rewards rather than decreased reward value. While these atypicalities may not have manifested in observable behavior here, they could impact real-life social interactions that require nuanced predictions, potentially leading to the misperception of reduced interest in rewarding social stimuli in ASD.

The controllosphere: The neural origin of cognitive effort.

Why do some mental activities feel harder than others? The answer to this question is surprisingly controversial. Current theories propose that cognitive effort affords a computational benefit, such as instigating a switch from an activity with low reward value to a different activity with higher reward value. By contrast, in this article, I relate cognitive effort to the fact that brain neuroanatomy and neurophysiology render some neural states more energy-efficient than others. I introduce the concept of the "controllosphere," an energy-inefficient region of neural state space associated with high control, which surrounds the better known "intrinsic manifold," an energy-efficient subspace associated with low control. Integration of control-theoretic principles with classic neurocomputational models of cognitive control suggests that dorsolateral prefrontal cortex (DLPFC) implements a controller that can drive the system state into the controllosphere, anterior cingulate cortex (ACC) implements an observer that monitors changes of state of the controlled system, and cognitive effort reflects a mismatch between DLPFC and ACC energies for control and observation. On this account, cognitive effort scales with the energetic demands of the DLPFC control signal, especially when the consequences of the control are unobservable by ACC. Further, I propose that neural transitions through the controllosphere lead to a buildup of neural waste. Cognitive effort therefore prevents against neural damage by discouraging extended periods of high control. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

What if the reward is not as yummy? Study of the effects of successive negative contrast in domestic dogs in two different tasks

Successive Negative Contrast (SNC) occurs when there is a reduction in the quantity or quality of a reward that is expected according to the presence of contextual cues. This induces an emotional response of frustration that is similar to stress. While this phenomenon has been observed in several mammal species, findings in domestic dogs have been inconsistent, although this issue has strong relevance in dog training. The aim of this study was to assess the effects of Successive Negative Contrast in two responses that had already been studied in this species, but with an increase in the methodological rigor and variations in the experimental conditions to examine the generalizability of the phenomenon. To this end, experimental dogs experienced a pre-shift phase in which they received a high-value reward (liver), followed by a post-shift phase in which they obtained a low-value reward (dry dog food), and then a re-shift phase in which the high-value reward was available again. Control dogs received dry food in all phases. The results show a contrast effect on the behavior of following human pointing to obtain food (Study 1). On the contrary, there were no differences in problem solving behavior after the de- and re-evaluation of the reward during a non-social task (Study 2). The results support that Successive Negative Contrast is not a consistent phenomenon in pet dogs. It is possible that certain characteristics of dogs such as the great availability of high-value rewards in their daily lives could attenuate the effects of a reduction in incentive value.

Path Planning for Unmanned Surface Vehicles with Strong Generalization Ability Based on Improved Proximal Policy Optimization.

To solve the problems of path planning and dynamic obstacle avoidance for an unmanned surface vehicle (USV) in a locally observable non-dynamic ocean environment, a visual perception and decision-making method based on deep reinforcement learning is proposed. This method replaces the full connection layer in the Proximal Policy Optimization (PPO) neural network structure with a convolutional neural network (CNN). In this way, the degree of memorization and forgetting of sample information is controlled. Moreover, this method accumulates reward models faster by preferentially learning samples with high reward values. From the USV-centered radar perception input of the local environment, the output of the action is realized through an end-to-end learning model, and the environment perception and decision are formed as a closed loop. Thus, the proposed algorithm has good adaptability in different marine environments. The simulation results show that, compared with the PPO algorithm, Soft Actor-Critic (SAC) algorithm, and Deep Q Network (DQN) algorithm, the proposed algorithm can accelerate the model convergence speed and improve the path planning performances in partly or fully unknown ocean fields.

Representation of rewards differing in their hedonic valence in the caudate nucleus correlates with the performance in a problem-solving task in dogs (Canis familiaris)

We have investigated dogs’ (Canis familiaris) abilities in associating different sounds with appetitive stimuli of different incentive values. The association’s establishment was first tested on family dogs (n = 20) in a problem-solving behavioural paradigm (experiment 1), then in a problem-solving behavioural paradigm as well as an fMRI study on specially trained family dogs (n = 20) (experiment 2). The aim was to show behavioural and parallel neural effects of the association formed between the two sounds and two different associated appetitive stimuli. The latency of solving the problem was considered an indicator of the motivational state. In our first experiment, where only behaviour was studied, we found that dogs were quicker in solving a problem upon hearing the sound associated with food higher in reward value, suggesting that they have successfully associated the sounds with the corresponding food value. In our second experiment, this behaviour difference was not significant. In the fMRI study, the cerebral response to the two sounds was compared both before and after the associative training. Two bilateral regions of interest were explored: the caudate nucleus and the amygdala. After the associative training, the response in the caudate nucleus was higher to the sound related to a higher reward value food than to the sound related to a lower reward value food, which difference was not present before the associative training. We found an increase in the amygdala response to both sounds after the training. In a whole-brain representational similarity analysis, we found that cerebral patterns in the caudate nucleus to the two sounds were different only after the training. Moreover, we found a positive correlation between the dissimilarity index in the caudate nucleus for activation responses to the two sounds and the difference in latencies (i.e. high reward value associated sound condition latency—low reward value associated sound condition latency) to solve the behavioural task: the bigger the difference between the conditions in latency to solve the task, the greater the difference in the neural representation of the two sounds was. In summary, family dogs’ brain activation patterns reflected their expectations based on what they learned about the relationship between two sounds and their associated appetitive stimuli.

Exposure effects to unfamiliar food advertisements on YouTube: A randomized controlled trial among adolescents

Despite the societal relevance of the topic, experimental evidence on the effects of digital food marketing on adolescents' food attitudes and choice behavior remains relatively scarce. Drawing on the logic model explaining the influence of marketing on health-related responses, the current between-subjects experiment sought to (i) evaluate the effects of exposure to unfamiliar food advertisements on YouTube with respect to adolescents' advertisement and brand recall, brand recognition, attitudes, and food choice in a hypothetical scenario; and (ii) compare the effect of exposure to advertisements promoting healthy (vs. unhealthy) food. Uruguayan adolescents (N = 433; 51% female) were randomly assigned to one of four experimental groups: a control group not exposed to any advertisement, a non-food group exposed to a clothing advertisement, an unhealthy food group exposed to an advertisement promoting a burger, and a healthy food group exposed to an advertisement promoting a salad. Following exposure to the advertisement, participants provided responses linked to advertisement and brand recall, brand recognition, attitudes, and food choice. The findings revealed that the largest effects of exposure to food advertisements emerged for advertisement recall and brand recognition (i.e., the most proximal steps in the logic model). Further, the burger advertisement was more easily recalled than the salad and the non-food advertisements, presumably due to its higher reward value. The effects of the food advertisements on brand attitudes and food choices were more inconclusive, although participants’ sex and frequency of burger consumption consistently moderated the impact of ad exposure on these outcomes, through mainly influencing males and adolescents who consumed burgers more frequently. Together, these results contribute to the literature on the effects of digital marketing by providing causal evidence for the role of advertisement exposure on adolescents’ advertisement and brand recall, brand recognition, brand attitudes, and choice behavior.

Pharmacological characterisation of the effort for reward task as a measure of motivation for reward in male mice

RationaleMotivational deficits are a common symptom shared across multiple psychiatric and neurodegenerative disorders. Effort-based decision-making tasks are a translatable method for assessing motivational state. Much of the preclinical validation of the task derives from acute pharmacological manipulations in rats. However, mice currently offer a greater genetic toolkit to study risk genes and phenotypic models. Despite this, there is limited characterisation of their behaviour in this type of motivation task.ObjectivesHere, we investigate the effort for reward (EfR) task as a measure of motivational state in mice using drugs previously shown to modulate effort-based decision-making in rats and humans.MethodUsing male C57bl/6j mice, we test the effects of drugs which modulate DA transmission. We also test the effects of CP101-606 which does not act directly via DA modulation but has been shown to exert beneficial effects on motivational state. Finally, we test the sensitivity of the task to a chronic corticosterone (CORT) treatment.ResultsAmphetamine, methylphenidate, and CP101606 in mice increased high-effort responses for high-value reward, while administration of haloperidol decreased high-effort responses. Surprisingly, tetrabenazine had no effect at the doses tested. Chronic, low-dose CORT consumption did not alter task performance.ConclusionThese data suggest that the EfR task is sensitive to acute dopaminergic modulation and NR2B selective antagonism in mice. However, it may lack sensitivity to non-acute phenotypic models. Further work is required to demonstrate the utility of the task in this context.

Deep reinforcement learning-based controller for dynamic positioning of an unmanned surface vehicle

Dynamic positioning (DP) system is of great significance for the unmanned surface vehicle (USV) to achieve fully autonomous navigation. Traditional control schemes have problems such as model accuracy, parameter tuning, and complex design. In addition, although the deep reinforcement learning (DRL) is widely used in the field of vessel motion control, the learning efficiency is not high, and insufficient robustness in the face of changing environmental. In order to improve the anti-disturbance ability, robustness and convergence speed of the controller during training, a deep reinforcement learning control method based on priority experience replay (PER) is proposed for dynamic positioning of the USV. The mathematical models are established based on the kinematic and dynamic of the USV. Markov decision process (MDP) models are constructed according to the DP tasks. The simulation results show that compared with other DRL algorithms, the proposed method has higher reward value, faster convergence speed, higher control precision and smoother control output.

Chemogenetic activation of corticotropin-releasing factor-expressing neurons in the anterior bed nucleus of the stria terminalis reduces effortful motivation behaviors.

Corticotropin-releasing factor (CRF) in the anterior bed nucleus of the stria terminalis (aBNST) is associated with chronic stress and avoidance behavior. However, CRF + BNST neurons project to reward- and motivation-related brain regions, suggesting a potential role in motivated behavior. We used chemogenetics to selectively activate CRF+ aBNST neurons in male and female CRF-ires-Cre mice during an effort-related choice task and a concurrent choice task. In both tasks, mice were given the option either to exert effort for high value rewards or to choose freely available low value rewards. Acute chemogenetic activation of CRF+ aBNST neurons reduced barrier climbing for a high value reward in the effort-related choice task in both males and females. Furthermore, acute chemogenetic activation of CRF+ aBNST neurons also reduced effortful lever pressing in high-performing males in the concurrent choice task. These data suggest a novel role for CRF+ aBNST neurons in effort-based decision and motivation behaviors.

Financial stress and gambling motivation: the importance of financial literacy

Purpose“Poor, Stressed, Drink (alcohol), and Gambling” is one of the campaigns for poverty eradication in Thailand. This study focuses on informal workers—gamblers—who belong to low-income groups and are not covered by the law as an employer. The main objective was to investigate the factors affecting financial stress among informal laborers and determine the factors that drive informal workers to buy lottery tickets (classified by economic, psychological and social motives).Design/methodology/approachThe authors applied binary logistic regression to determine what factors affected financial stress and multinomial logistic regression was applied to examine the factors affecting the motives for buying the lottery.FindingsAccording to the study's results, factors including education, income, gambling intensity, level of financial literacy, saving and knowledge about finance in general influenced both economic and psychological motives negatively. However, gender, status, age, level of risk tolerance, self-evaluated level of acceptable risk and knowledge about compound interest influenced both economic motives and psychological motives positively. It is worth noting that both the self-evaluation of their level of financial literacy and knowledge about inflation resulted in effects moving in different directions, with self-evaluation of their level of financial literacy and knowledge about inflation negatively affecting economic motives, but positively affecting psychological motives.Practical implicationsThe results of this study are expected to help policymakers understand more about this issue since it will illustrate the relationships between financial stress and financial literacy, financial behaviors, financial attitudes and risk tolerance and gambling behaviors. After all, financial stress is a significant problem affecting individuals, their families and the community, and it stems from various complex factors. Therefore, the government and counseling agencies should apply active strategies to mitigate these issues and lessen the resulting financial stress by providing financial literacy projects, as well as financial counseling.Social implicationsLow financial literacy, especially being inefficient at managing one's finances, unusually comes with unhealthy financial thought patterns, as well as a lack of systematic financial management. Furthermore, the lack of financial literacy can potentially lead to unfavorable circumstances. When one falls into uncontrollable situations, including divorce, becoming unemployed, having health problems, being in toxic relationships, loss of a breadwinner, an unexpected pregnancy, etcetera, they could easily find themselves failing to properly cope with these problems and become stressed. Finally, they are also more at risk to take illicit drugs or begin gambling more frequently.Originality/valueOne of the key elements that reduces financial stress is a person's finances, which is thought to have a significant role in reducing their betting behaviors. The findings of this study can be used to guide policy making intended to deter those who have never gambled from starting. Gambling is considered a risk-taking activity with a higher value reward in return. Money, enjoyment, socialization and excitement were all popular motives for gambling. These findings were consistent with what has been observed in Thai society related to the factors influencing individual to gamble, in other words, economic, psychological and social motives. The study focused on gamblers who were informal laborers. They are laborers without an employer according to the Thai labor law, do not have any social security from the government and, usually, have low incomes.

Effort-cost decision-making in psychotic and mood disorders.

Avolition and anhedonia are core symptoms across psychosis and mood disorders. One important mechanism thought to relate to these symptoms is effort-cost decision-making (ECDM), the valuation and estimation of work required to obtain a given reward. While recent work suggests impairments in ECDM in both mood disorders and psychosis relative to controls, limited work has taken a transdiagnostic approach to examine how these deficits relate to different symptom profiles across disorders. The present study investigated ECDM across schizophrenia/schizoaffective disorder (N = 33), bipolar disorder (N = 47), unipolar depression (N = 61), and healthy controls (N = 58) to examine willingness to expend physical effort. Moreover, we examined the relationship between ECDM and motivation and pleasure symptoms across participants. We found that people with schizophrenia and bipolar disorder showed a reduced willingness to expend physical effort at high reward values relative to controls, while as a group, those with depression showed no differences relative to controls. However, individual differences in self-reported motivation and pleasure predicted reduced ECDM, particularly at high reward values, suggesting that both severity of symptoms and diagnostic categories are important for understanding altered ECDM in psychopathology. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Value-modulated attentional capture is augmented by win-related sensory cues.

Attentional prioritisation of stimuli in the environment plays an important role in overt choice. Previous research shows that prioritisation is influenced by the magnitude of paired rewards, in that stimuli signalling high-value rewards are more likely to capture attention than stimuli signalling low-value rewards; and this attentional bias has been proposed to play a role in addictive and compulsive behaviours. A separate line of research has shown that win-related sensory cues can bias overt choices. However, the role that these cues play in attentional selection is yet to be investigated. Participants in this study completed a visual search task in which they responded to a target shape in order to earn reward. The colour of a distractor signalled the magnitude of reward and type of feedback on each trial. Participants were slower to respond to the target when the distractor signalled high reward compared to when the distractor signalled low reward, suggesting that the high-reward distractors had increased attentional priority. Critically, the magnitude of this reward-related attentional bias was further increased for a high-reward distractor with post-trial feedback accompanied by win-related sensory cues. Participants also demonstrated an overt choice preference for the distractor that was associated with win-related sensory cues. These findings demonstrate that stimuli paired with win-related sensory cues are prioritised by the attention system over stimuli with equivalent physical salience and learned value. This attentional prioritisation may have downstream implications for overt choices, especially in gambling contexts where win-related sensory cues are common.

Effort-based decision making in schizotypy and its relationship with amotivation and psychosocial functioning.

Suboptimal effort-based decision-making with reduced willingness to expend effort for high-probability/high-value reward is observed in schizophrenia patients and is related to diminished motivation, but is understudied in schizotypy. This study aimed to examine effort-allocation in schizotypy individuals and its association with amotivation and psychosocial functioning. We recruited 40 schizotypy individuals and 40 demographically-matched healthy controls, based on Schizotypal Personality Questionnaire-Brief (SPQ-B) score (top and bottom 10% SPQ-B scores, respectively), from 2400 young people aged 15-24 years participating a population-based mental health survey in Hong Kong and examined effort-allocation using the Effort Expenditure for Reward Task (EEfRT). Negative / amotivation symptoms and psychosocial functioning were assessed by the Brief Negative Symptom Scale (BNSS) and the Social Functioning and Occupational Assessment Scale (SOFAS), respectively. Schizotypy individuals were categorized into high-amotivation and low-amotivation groups based on a median-split of BNSS amotivation domain score. Our results showed no main group effect (in either two or three-group comparison) on effort task performance. Three-group comparison analyses on selected EEfRT performance indices revealed that high-amotivation schizotypy individuals displayed significantly less increase in effortful options from low-value to high-value reward (reward-difference score) and from low-probability/low-value to high-probability/high-value reward (probability/reward-difference score) than low-amotivation individuals and controls. Correlation analyses demonstrated trend-wise significance between BNSS amotivation domain score and several EEfRT performance indices in schizotypy group. Schizotypy individuals with poorer psychosocial functioning tended to exhibit smaller probability/reward-difference score relative to other two groups. Our findings indicate subtle effort-allocation abnormalities in schizotypy individuals with high levels of diminished motivation, and suggest the link between laboratory-based effort-cost measures and real-world functional outcome.

Problem-Solving and Spontaneous Tool-Using Ability in European Brown Bears (Ursus arctos arctos)

Little is known about the cognitive abilities of bears, despite possessing relatively large brains for their body size. One reason this group is perhaps overlooked is because they are thought to fail to conform to the “social brain” hypothesis, by being relatively solitary species but still possessing large brains. Here, to better understand the proposed benefits afforded by encephalization, the cognitive abilities of 17 captive European brown bears Ursus arctos arctos were tested. The aim was to determine whether bears possess problem-solving and object-manipulation abilities. Two experimental tests – a puzzle box and an object-manipulation set-up – were presented to bears at seven UK zoological parks. Generalised linear mixed models were used to determine which variables, specifically age, sex, motivational levels, behavioral diversity and persistence, influence cognitive performance. Results revealed evidence of trial-and-error learning; however, two juveniles appeared to acquire a latch association, suggesting some individuals have potential to adopt successful strategies and draw perceptive associations. Individual variation in motivation levels appears to be an important factor influencing cognitive performance. Overall, the bears failed to spontaneously use a tool but still managed to retrieve the food reward, instead using alternative techniques to solve the problem. Analyses revealed both age and sex to be negatively associated with time-to-solve in our sample, indicating the younger male bears solved the task more quickly. Results suggest social dynamics of group-living bears to be influencing cognitive performance, as the collective nature of testing resulted in increased competition over a high-value reward. These results are discussed herein. Brown bears are confirmed to be an excellent model species for testing the cognitive abilities of Ursids, as well as theories of cognitive evolution.

Flexible control of Pavlovian-instrumental transfer based on expected reward value.

The Pavlovian-instrumental transfer (PIT) paradigm is widely used to assay the motivational influence of reward-predictive cues, reflected by their ability to invigorate instrumental behavior. Leading theories assume that a cue's motivational properties are tied to predicted reward value. We outline an alternative view that recognizes that reward-predictive cues may suppress rather than motivate instrumental behavior under certain conditions, an effect termed positive conditioned suppression. We posit that cues signaling imminent reward delivery tend to inhibit instrumental behavior, which is exploratory by nature, in order to facilitate efficient retrieval of the expected reward. According to this view, the motivation to engage in instrumental behavior during a cue should be inversely related to the value of the predicted reward, since there is more to lose by failing to secure a high-value reward than a low-value reward. We tested this hypothesis in rats using a PIT protocol known to induce positive conditioned suppression. In Experiment 1, cues signaling different reward magnitudes elicited distinct response patterns. Whereas the one-pellet cue increased instrumental behavior, cues signaling three or nine pellets suppressed instrumental behavior and elicited high levels of food-port activity. Experiment 2 found that reward-predictive cues suppressed instrumental behavior and increased food-port activity in a flexible manner that was disrupted by post-training reward devaluation. Further analyses suggest that these findings were not driven by overt competition between the instrumental and food-port responses. We discuss how the PIT task may provide a useful tool for studying cognitive control over cue-motivated behavior in rodents. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Complex Network-Based Evolutionary Game for Knowledge Transfer of Social E-Commerce Platform Enterprise’s Operation Team under Strategy Imitation Preferences

Social e-commerce is an emerging e-commerce mode in response to the upgrading of consumption, which has become an important engine for the development of the digital economy. Knowledge transfer and sharing play vital roles in improving the competitiveness and the sustainability of social e-commerce platform enterprises. However, academic research on knowledge transfer for the social e-commerce platform enterprise’s operation team remains deficient. To help social e-commerce platform enterprises to improve performance and better seek survival and sustainable development, this paper constructs a knowledge transfer model for the social e-commerce platform enterprise’s operation team, in the self-centered sustainable ecological business mode, from the relationship between intra-organizational operation knowledge transfer and cross-organizational knowledge sharing for value co-creation, and explores knowledge transfer behaviors from the perspective of complex network-based evolutionary game under strategy imitation preferences. Simulation results indicate that relationships among knowledge transfer cost, knowledge synergy benefit, cross-organizational value co-creation benefit rate, and reward and punishment, along with strategy imitation preferences, significantly impact knowledge transfer behaviors of the social e-commerce platform enterprise’s operation team. When all the members of the social e-commerce platform enterprise’s operation team prefer to imitate the knowledge transfer strategies of the operation members with smaller knowledge transfer costs, the operation team is more likely to show a high proportion adopting the transfer strategy, requiring low knowledge synergy coefficient, reward, punishment, and cross-organizational value co-creation benefit rate to achieve stable and sustainable knowledge transfer. Conversely, the operation team is more likely to show a low proportion adopting the transfer strategy, requiring high knowledge synergy coefficient, reward, punishment, and cross-organizational value co-creation benefit rate to achieve stable and sustainable knowledge transfer. This study has significance as a guide for social e-commerce platform enterprises in deploying the self-centered sustainable ecological business mode.

Behavioral and neural representation of expected reward and risk

When faced with uncertainty, individuals’ value-based decisions are influenced by the expected rewards and risks. Understanding how reward and risk are processed and integrated at the behavioral and neural levels is essential for building up utility theories. Using a modified monetary incentive delay task in which the mean of two possible outcomes (expected reward) and the standard deviation (SD) of the possible outcomes (risk) were parametrically manipulated and orthogonalized, we measured eye movements, response times (RTs), and brain activity when participants seek to secure a reward. We found that RTs varied as a function of the mean but not the SD of the potential reward, suggesting that expected rewards are the main driver of RTs. Moreover, the difference between gazes focused on high vs. low value rewards became smaller when the magnitude of the potential reward (mean of possible outcomes) was larger and when risk (SD of possible outcomes) became smaller, highlighting that reward and risk have different effects on attention deployment. Processing the mean reward activated the striatum. The positive striatal connectivity to the amygdala and negative striatal connectivity to the superior frontal gyrus were correlated with individuals’ sensitivity to the expected reward. In contrast, processing risk activated the anterior insula. Its positive connectivity to the ventromedial prefrontal cortex and negative connectivity to the anterior midcingulate cortex were correlated with individual differences in risk sensitivity, further suggesting the functional dissociation of reward and risk at the neural level. Our findings, based on several different measures, delineate the distinct representations of reward and risk in non-decision contexts and provide insight into how these utility parameters modulate attention, motivation, and brain networks.