Orgasm consistency and its relationship to women’s self-reported and genital sexual response

According to the Incentive Motivation Model (IMM) of sexual response, the rewarding and pleasurable aspects of a sexual act strengthen its incentive value and capacity to trigger sexual motivation. One such sexual reward is orgasm consistency, the percentage of time that orgasm is experienced during a sex act. Orgasm consistency may serve to influence the incentive value of a sexual behaviour. We tested this tenet of the IMM by examining whether orgasm consistency predicted women’s sexual responses to films depicting various sex acts. Data were collected from four separate studies examining women’s genital and subjective sexual response. Participants ( N = 144, age range = 18–65) were presented with neutral and erotic film stimuli while their genital arousal was assessed using vaginal photoplethysmography or thermography. Participants reported their sexual arousal level before, during, and after each stimulus presentation, and completed questionnaires assessing sexual history and experiences, sexual interests, and sexual functioning. Orgasm consistency during penile–vaginal intercourse (PVI) significantly predicted genital arousal to films depicting PVI, but similar relationships were not observed between genital or self-reported arousal and orgasm consistency during receptive oral sex and masturbation. Findings suggest that increasing orgasm consistency to a sex act may increase its incentive value, thereby triggering greater genital response to depictions of that act. Lack of consistent orgasm or generally pleasurable and rewarding sex may limit the capacity of sex acts to trigger sexual motivation in future sexual encounters, thus contributing to low sexual arousal and desire in women.

On the influence of spatial and value attentional cues across individuals

The visual world provides a myriad of cues every instance that can be used to direct information processing. How does the brain integrate predictive information from disparate sources to modify visual priorities, and are combination strategies consistent across individuals? Previous evidence shows that sensory cues that are predictive of the value of a visually guided task (incentive value) and cues that signal where task-relevant stimuli may occur (spatial certainty) act independently to bias attention. Anticipatory accounts propose that both cues are comparably encoded into an attentional priority map, whereas the counterfactual account argues that incentive value cues instead induce a reactive encoding of losses based on the direction of attention. Here we adjudicate between these alternatives and further determine whether there are individual differences in how attentional cues are encoded. 149 participants viewed two coloured placeholders that specified the potential value of correctly identifying an imminent target if it appeared in that specific placeholder. Prior to the target’s presentation, an endogenous spatial cue indicated the target’s more likely location. The anticipatory and counterfactual accounts were used to motivate parametric regressors that were compared in their explanatory power of the observed data, at the group level and on data stratified by a clustering algorithm applied to identify individual differences. The algorithm revealed 2 subtypes in the population; whereas all individuals use spatial certainty cues a subset does not use incentive value cues. However, when used, the influence of incentive value cues reflects a counterfactual loss function. The data show that spatial certainty and incentive value act independently to influence visual priorities because they act at distinct points in information processing, and that theories of motivated attention must account for the non-uniform influence of incentive value on visual priorities.

Interactive effects of incentive value and valence on the performance of discrete action sequences

Incentives can be used to increase motivation, leading to better learning and performance on skilled motor tasks. Prior work has shown that monetary punishments enhance on-line performance while equivalent monetary rewards enhance off-line skill retention. However, a large body of literature on loss aversion has shown that losses are treated as larger than equivalent gains. The divergence between the effects of punishments and reward on motor learning could be due to perceived differences in incentive value rather than valence per se. We test this hypothesis by manipulating incentive value and valence while participants trained to perform motor sequences. Consistent with our hypothesis, we found that large reward enhanced on-line performance but impaired the ability to retain the level of performance achieved during training. However, we also found that on-line performance was better with reward than punishment and that the effect of increasing incentive value was more linear with reward (small, medium, large) while the effect of value was more binary with punishment (large vs not large). These results suggest that there are differential effects of punishment and reward on motor learning and that these effects of valence are unlikely to be driven by differences in the subjective magnitude of gains and losses.

Political motivation: A referent evaluation mathematical model

Mathematical modelling is popular in cognitive psychology because it enables clear and formal descriptions of the processes at play; yet, this approach has rarely been applied to political psychology. Here we adopt mathematical modelling to develop a theory of political motivation, which is a central concept in political psychology. The theory assumes that, in certain contexts, individuals entertain a set of representations of society, for example of the past, present and future (but also of fictive societies such as utopias). To each representation of society, an incentive value is attached which is not absolute, but (following theories of motivation in cognitive psychology) reference-dependent; namely, dependent on the context, corresponding to the whole set of representations of society. In turn, the model proposes that these subjective values determine two central aspects: a motivation for performing an appropriate political action and the ensuing political mood. We discuss the model with respect to theoretical and empirical research (and we examine Marx and Engel’s communist manifesto as an example of the latter). In short, we offer a new mathematical perspective on political motivation which emphasises the role of multiple representations of society in determining political motivation and the ensuing political mood.

Incentive value and spatial certainty combine additively to determine visual priorities

How does the brain combine information predictive of the value of a visually guided task (incentive value) with information predictive of where task-relevant stimuli may occur (spatial certainty)? Human behavioural evidence indicates that these two predictions may be combined additively to bias visual selection (Additive Hypothesis), whereas neuroeconomic studies posit that they may be multiplicatively combined (Expected Value Hypothesis). We sought to adjudicate between these two alternatives. Participants viewed two coloured placeholders that specified the potential value of correctly identifying an imminent letter target if it appeared in that placeholder. Then, prior to the target’s presentation, an endogenous spatial cue was presented indicating the target’s more likely location. Spatial cues were parametrically manipulated with regard to the information gained (in bits). Across two experiments, performance was better for targets appearing in high versus low value placeholders and better when targets appeared in validly cued locations. Interestingly, as shown with a Bayesian model selection approach, these effects did not interact, clearly supporting the Additive Hypothesis. Even when conditions were adjusted to increase the optimality of a multiplicative operation, support for it remained. These findings refute recent theories that expected value computations are the singular mechanism driving the deployment of endogenous spatial attention. Instead, incentive value and spatial certainty seem to act independently to influence visual selection.

Glutamine-to-glutamate ratio in the nucleus accumbens predicts effort-based motivated performance in humans

Substantial evidence implicates the nucleus accumbens in motivated performance, but very little is known about the neurochemical underpinnings of individual differences in motivation. Here, we applied 1H magnetic resonance spectroscopy (1H-MRS) at ultra-high-field in the nucleus accumbens and inquired whether levels of glutamate (Glu), glutamine (Gln), GABA or their ratios predict interindividual differences in effort-based motivated task performance. Given the incentive value of social competition, we also examined differences in performance under self-motivated or competition settings. Our results indicate that higher accumbal Gln-to-Glu ratio predicts better overall performance and reduced effort perception. As performance is the outcome of multiple cognitive, motor and physiological processes, we applied computational modeling to estimate best-fitting individual parameters related to specific processes modeled with utility, effort and performance functions. This model-based analysis revealed that accumbal Gln-to-Glu ratio specifically relates to stamina; i.e., the capacity to maintain performance over long periods. It also indicated that competition boosts performance from task onset, particularly for low Gln-to-Glu individuals. In conclusion, our findings provide novel insights implicating accumbal Gln and Glu balance on the prediction of specific computational components of motivated performance. This approach and findings can help developing therapeutic strategies based on targeting metabolism to ameliorate deficits in effort engagement.

Clicker Training Accelerates Learning of Complex Behaviors but Reduces Discriminative Abilities of Yucatan Miniature Pigs

Animal training is meant to teach specific behavioral responses to specific cues. Clicker training (CT) is a popular training method based on the use of a device that emits a sound of double-click to be associated as a first-order conditioned stimulus in contingency with positive reinforcements. After some repetitions, the clicker sound gains some incentive value and can be paired with the desired behavior. Animal trainers believed that CT can decrease training time compared to other types of training. Herein, we used two-month old miniature piglets to evaluate whether CT decreased the number of repetitions required to learn complex behaviors as compared with animals trained with voice instead of the clicker. In addition, we compared the number of correct choices of animals from both groups when exposed to object discriminative tests. Results indicated that CT decreased the number of repetitions required for pigs to learn to fetch an object but reduced the ability of animals to make correct choices during the discriminate trials. This suggests that CT is more efficient than voice to teach complex behaviors but reduces the ability of animals to use cognitive processes required to discriminate and select objects associated with reward.

Punishment is Organized around Principles of Communicative Inference

Humans use punishment to influence each other’s behavior. Many current theories presume that this operates as a simple form of incentive. In contrast, we show that people infer the communicative intent behind punishment, which can sometimes diverge sharply from its immediate incentive value. In other words, people respond to punishment not as a reward to be maximized, but as a communicative signal to be interpreted. Specifically, we show that people expect harmless, yet communicative, punishments to be as effective as harmful punishments (Experiment 1). Under some situations, people display a systematic preference for harmless punishments over more canonical, harmful punishments (Experiment 2). People readily seek out and infer the communicative message inherent in a punishment (Experiment 3). And people expect that learning from punishment depends on the ease with which its communicative intent can be inferred (Experiment 4). Taken together, these findings demonstrate that people expect punishment to be constructed and interpreted as a communicative act.