Ensemble coding of facial identity is not refined by experience: Evidence from other-race and inverted faces

The ability to recognize identity despite within-person variability in appearance is likely a face-specific skill and shaped by experience. Ensemble coding – the automatic extraction of the average of a stimulus array – has been proposed as a mechanism underlying face learning (allowing one to recognize novel instances of a newly learned face). We investigated whether ensemble encoding, like face learning and recognition, is refined by experience by testing participants with upright own-race faces and two categories of faces with which they lacked experience: other-race faces (Experiment 1) and inverted faces (Experiment 2). Participants viewed four images of an unfamiliar identity and then were asked whether a test image of that same identity had been in the study array. Each test image was a matching exemplar (from the array), matching average (the average of the images in the array), non-matching exemplar (a novel image of the same identity), or non-matching average (an average of four different images of the same identity). Adults showed comparable ensemble coding for all three categories (i.e., reported that matching averages had been present more than non-matching averages), providing evidence that this early stage of face learning is not shaped by face-specific experience.     

Decisional forgiveness across spanish and american samples: Translation,validation, and measurement invariance of the decision to forgive scale

Current Psychology - More than twenty different models of how forgiveness occurs have been proposed within forgiveness literature. One idea highlighted in many of these models was that forgiveness...     

The Role of Children's Neurophysiological Functioning in the Links Between Emotion-Parenting Behaviors and Child Anxiety Symptoms: A Biological Sensitivity to Context Framework

A plethora of data supports links between parenting behaviors and child anxiety, but few studies have examined factors that can contribute to variability in these relations. Adopting a biological sensitivity to context framework, this study explored the role of children's physiological stress reactivity in the links between emotion-parenting and child anxiety symptoms in a group of Chinese families. Sixty-one parent–child dyads (child M_age = 8.21 years, SD = 1.40, range = 6–12 years) participated in an acute stress protocol, from which children's physiological (cortisol and respiratory sinus arrhythmia) responses to a social speech task were recorded. Participants then completed questionnaires assessing parents’ emotion-parenting behaviors and children's anxiety symptoms. Results showed that the relation between supportive emotion-parenting and child anxiety was stronger in the context of greater child RSA suppression to acute stress, such that children higher in RSA suppression exhibited lower anxiety symptoms when supportive emotion-parenting was higher than when it was lower. Thus, these findings supported the biological sensitivity to context model. No significant moderation effect was detected for cortisol reactivity or recovery. Instead, exploratory mediation analyses showed that supportive emotion-parenting was negatively related to child anxiety via greater cortisol recovery. There was also a significant indirect path where unsupportive emotion-parenting was related to blunted cortisol recovery, which in turn was associated with higher child anxiety. The results highlight the importance of coaching parents to respond in supportive ways to children's emotional expressions, particularly in the context of greater child reactivity, to help buffer against childhood anxiety symptoms.     

CHOICE: an Objective,Voluntaristic Theory of Prudential Value

Philosophia - It is customary to think that Objective List (“OL), Desire-Satisfaction (“D-S”) and Hedonistic (“HED”) theories of prudential value pretty much cover the...     

Simple disturbance of the dam in the neonatal period can alter haloperidol-induced catalepsy in the adult offspring

Three experiments were performed to determine whether apparently minimal disturbances of dams and litters would influence haloperidol-induced akinesia. In Experiment I, Long-Evans hooded rats (a) were left unmanipulated, (b) received nestcage relocation and observation, (c) received nestcage relocation/observation and maternal separation, or (d) received nestcage relocation/observation and pup handling. The male adult offspring received open-field testing and later received forepaw-on-dowel catalepsy testing following saline, morphine (20 mg/kg), or haloperidol (2 mg/kg). In Experiment II, hooded rats received (a) no manipulation, (b) nestcage relocation, (c) maternal separation, or (d) pup handling. At weaning, dams were tested in the open-field. Activity wheel locomotion of the offspring was assessed following saline or haloperidol for 3 days/week for 3 weeks; then, 5 and 7 days later, rats received haloperidol (0.5 mg/kg) and catalepsy testing. In both experiments, manipulations involving the dam reduced the offsprings' haloperidol-induced catalepsy, but, in Experiment II, a history of haloperidol administration distinguished between the effects of nestcage relocation and maternal separation. In Experiment III, Swiss albino mice received (a) no treatment, (b) nestcage relocation and maternal separation, (c) relocation/separation and mild cold stress of pups, (d) relocation/separation and pup handling, or (e) relocation/separation and severe cold stress of pups. Adult male mice received saline or haloperidol (2.5 mg/kg) and inclined grid catalepsy testing. Mice receiving relocation/separation and mice receiving relocation/separation and severe cold stress showed enhanced catalepsy versus control mice. Thus, it was concluded that seemingly innocuous events in infancy can influence the intensity of extrapyramidal side effects of neuroleptics in adulthood.     

A Process Model of Causal Reasoning

How do we make causal judgments? Many studies have demonstrated that people are capable causal reasoners, achieving success on tasks from reasoning to categorization to interventions. However, less is known about the mental processes used to achieve such sophisticated judgments. We propose a new process model—the mutation sampler—that models causal judgments as based on a sample of possible states of the causal system generated using the Metropolis–Hastings sampling algorithm. Across a diverse array of tasks and conditions encompassing over 1,700 participants, we found that our model provided a consistently closer fit to participant judgments than standard causal graphical models. In particular, we found that the biases introduced by mutation sampling accounted for people's consistent, predictable errors that the normative model by definition could not. Moreover, using a novel experimental methodology, we found that those biases appeared in the samples that participants explicitly judged to be representative of a causal system. We conclude by advocating sampling methods as plausible process-level accounts of the computations specified by the causal graphical model framework and highlight opportunities for future research to identify not just what reasoners compute when drawing causal inferences, but also how they compute it.