Sensory cortical dynamics during optical microstimulation training

Primary sensory cortex is a key locus of plasticity during learning. Exposure to novel stimuli often alters cortical activity, but isolating cortex-specific dynamics is challenging due to extensive pre-cortical processing. Here, we employ optical microstimulation of pyramidal neurons in layer (L) 2/3 of mouse primary vibrissal somatosensory cortex (vS1) to study cortical dynamics as mice learn to discriminate microstimulation intensity. Tracking activity over weeks using two-photon calcium imaging, we observe a rapid sparsification of the photoresponsive population, with the most responsive neurons exhibiting the largest declines in responsiveness. Following sparsification, the photoresponsive population attains a stable rate of neuronal turnover. At the same time, the photoresponsive population increasingly overlaps with populations encoding whisker movement and touch. Finally, we find that mice with larger declines in responsiveness learn the task more slowly than mice with smaller declines. Our results reveal that microstimulation-evoked cortical activity undergoes extensive reorganization during task learning and that the dynamics of this reorganization impact perception.

Development and validation of a scale to evaluate students’ future impact perception related to the coronavirus pandemic (C-19FIPS)

During the outbreak of the novel COVID-19 pandemic, economies around the world underwent unprecedented changes, which negatively limited young people’s perceptions of their future. The study aims to describe the development and validation of the 10-item COVID-19 Future Impact Perception Scale (C-19FIPS), a measurement tool to assess future impact perception related to COVID-19, among university students. Inductive and deductive approaches were used at the phase of the scale development process. Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA) applying two different SEM based analytical methods, covariance-based SEM (CB-SEM) and variance based SEM (PLS-SEM) were used to explore and predict the data. The EFA output generated two dimensions with 10 items. The dimensions are Personal Perception (C-19 PF) and Country Perception (C-19 CF) that reflects the notion of Future Impact Perception related to COVID-19. The result of the CFA confirmed the EFA result. Based on the reliability and validity check results, it is apparent that the scale demonstrates good psychometric properties. Evidence was also provided for convergent and discriminant validity. The study provided a short, valid and reliable measure to assess the impact of the COVID-19 pandemic on college students’ future perceptions. Knowing how external situations influence the world of young people is useful for the development of targeted interventions that favor their well-being and that can support them in situations perceived as uncertain and risky. Limitations and future lines are discussed.

Visualizing compassion: Episodic simulation as contemplative practice

Contemplative interventions designed to cultivate compassion are receiving increasing empirical attention. Accumulating evidence suggests that these interventions bolster prosocial motivation and warmth towards others. Less is known about how these practices impact compassion in everyday life. Here we consider one mechanistic pathway through which compassion practices may impact perception and action in the world: simulation. Evidence suggests that vividly imagining a situation simulates that experience in the brain as if it were, to a degree, actually happening. Thus, we hypothesize that simulation during imagery-based contemplative practices can construct sensorimotor patterns in the brain that prime an individual to act compassionately in the world. We first present evidence across multiple literatures in Psychology that motivates this hypothesis, including the neuroscience of mental imagery and the emerging literature on prosocial episodic simulation. Then, we examine the specific contemplative practices in compassion-based interventions that may construct such simulations. We conclude with future directions for investigating how compassion-based interventions may shape prosocial perception and action in everyday life.

Gender Differentials in Perceiving Climate Change Impacts in the Kaligandaki Basin, Nepal

The global climate system is changing faster than earlier projections with variable rates across the geographic scale. The impacts are also perceived heterogeneously across the places and communities. This study explores gender differentials in impact-perception in the Kaligandaki river valley in central Nepal. Research used primary data collected from 360 households, 75 Key Informants and 24 Focus Groups Discussion as well as through construction of nine Historical Timeline Calendars from three clusters – Meghauli (lower basin), Lumle (middlepart) and Upper-Mustang (upper-basin). The impact perception was assessed under seven social-ecological variables in the unipolar Likert Scale. The impact perception does not significantly differ across the gender of respondents while testing the means of perception scores and probably it is due to the impacts that have been experienced at profound level. The test of independence of gender to level of impacts indicates no significant association. This research also tried to check if other social-economic variables such as age of respondents and landholding size of household as well as self-reported economic status of households were significantly associated with some of the impacts. However, the number of cells with expected counts less than 5 in chi-square test turned to be more than 20 percent so they were considered to be invalid. Nevertheless, impact perception is significantly associated with the places of residence or study clusters, which indicates that local social-ecological system matters in climate change impacts. The qualitative information however, suggests otherwise that women feel higher level of risk and impacts, and is related to their concern over the welfare of family members and livelihood resources. Since risk perception is found to be related to spatial characteristics, this research recommends for development and implementation of targeted and localized adaptation policies. None the less, those policies must also recognize the women’s concerns on climate change impacts.

Developing and Testing Influencers of Perception in the Workplace with the Perception Power Index (PPI)

Organizations utilize assessments to determine issues that impact productivity and performance. Although there are assessments that determine a variety of behavioral influences, including a cultural quotient (CQ) or an emotional intelligence quotient (EQ), there are few tools that can determine the impact of perception to provide a perception quotient (PQ). If perception can be defined as a way of regarding, understanding, or interpreting something, it is critical for organizations to recognize the impact perception has on employees’ ability to communicate effectively. A new tool, the Perception Power index (PPI), was created to assess the factors that impact perception in working adults, including evaluation, prediction, interpretation, and correlation. The validity of the PPI was evaluated using exploratory and confirmatory factor analyses. The factor analysis with Varimax Rotation indicated a Cronbach α of 0.89 for evaluation, 0.87 for prediction, 0.81 for interpretation, and 0.75 for correlation. Although other tools measure forms of perception, there are no tools that measure these four factors that impact the perception process. The results indicate that the PPI is a valid tool.

The brand narratives of Philip Morris International: developing methods to identify corporate voices

Background Existing research into marketing and advertising of tobacco companies shows the industry continues to spend huge sums of money promoting harmful products. In the face of increasing controls on the advertising of these products, and restrictions on their participation in policy development enshrined in a global treaty, tobacco companies must adapt to remain competitive in an unfavourable climate. Although there has been much engagement with the development of corporate messages by the 4 big tobacco brands, no systematic review of textual and visual corporate messaging used by these companies exists. This research presents the case of Philip Morris International (PMI), and maps out its key messages to investors and public audiences. Methods This research combines corpus linguistics with inductive coding to illustrate key topics, themes and the linguistic habits of PMI. A linguistic comparison with the messaging of 40 other transnational corporations provides a reference from which the unique characteristics of PMI's language can be identified. Results Thematic analysis of written and visual content highlights several dominant themes, namely Science, Transformation, Sustainability and Permissibility. Redemptive tropes were common in the sample, apparent in repeated reference to a desire to be and do better and to improve the lives of smokers around the world. Similarly, a strong emphasis on science was apparent in both the use of imagery and language, including scientific notation, laboratories and individual scientists. The identification of linguistic and visual brand strategies will facilitate the education of advocates and consumers about the approach of the tobacco industry in their pursuit of continued business. Identifying the core values PMI is actively promoting could help to identify emerging corporate strategies in influencing public health policy, including the promotion of corporate goodwill in markets where product-specific advertising is banned. Key messages Big tobacco using new platforms to influence policy making. Corporate narratives impact perception of tobacco harm.

Maharjan, Dubé, and Sekuler (2020 draft)

The briefest glimpse of some scene can suffice to allow the extraction of a scene's overall character. That brief glimpse produces a compressed, prototype representation of the scene, that is, its gist. Many studies have provided evidence for the remarkable accuracy of such compressed/prototype representations, but few have explored factors that control the emergence of such representations, or possibly distort the products. We addressed these questions by using small arrays of luminances. We focused on how clustering or repeating items impact perception of an array. The results showed that repetitions lowered estimation errors, though the mean of the array continued to strongly predict responses. The data suggest that subjects may capitalize on informational redundancy and emergent structure in computing summary representations. The implications for theoretical accounts of ensemble coding are discussed.