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Taken together, the results suggest that cognitive control may intervene to selectively suppress fast-acting and distracting taboo information, indicating a controlled semantic processing that optimizes activation to match task-relevant goals. (PsycInfo Database Record (c) 2021 APA, all rights reserved).
The purpose of this conceptual article is to discuss the minority stress model and its potential applicability as a model for examining the higher rates of suicidality in people with disabilities.
This conceptual article is based in the empirical literature on the minority stress model and the literature exploring the experiences of both proximal (e.g., internalized stigma, self-concealment) and distal (e.g., harassment, violence, and discrimination) minority stress among people with disabilities. It also draws from the literature on suicidality and disability.
After establishing the higher rates of suicidality among people with disabilities as evidenced in the existing literature and discussing our gaps in the knowledge about the factors that drive this phenomenon, I discuss the minority stress model, which posits that elevated rates of suicidality among individuals with disabilities can be explained by a combination of proximal and distal stressors related to one's marginalized status. I then discuss periences and effects of chronic, pervasive marginalization. Recommendations for research, and policy, including strategies for addressing both internalized ableism and disability-related discrimination and harassment, are provided. (PsycInfo Database Record (c) 2021 APA, all rights reserved).The dynamics of decision-making have been widely studied over the past several decades through the lens of an overarching theory called sequential sampling theory (SST). Within SST, choices are represented as accumulators, each of which races toward a decision boundary by drawing stochastic samples of evidence through time. Although progress has been made in understanding how decisions are made within the SST framework, considerable debate centers on whether the accumulators exhibit dependency during the evidence accumulation process; namely, whether accumulators are independent, fully dependent, or partially dependent. To evaluate which type of dependency is the most plausible representation of human decision-making, we applied a novel twist on two classic perceptual tasks; namely, in addition to the classic paradigm (i.e., the unequal-evidence conditions), we used stimuli that provided different magnitudes of equal-evidence (i.e., the equal-evidence conditions). In equal-evidence conditions, response times systematically decreased with increase in the magnitude of evidence, whereas in unequal-evidence conditions, response times systematically increased as the difference in evidence between the two alternatives decreased. We designed a spectrum of models that ranged from independent accumulation to fully dependent accumulation, while also examining the effects of within-trial and between-trial variability (BTV). OTSSP167 mouse We then fit the set of models to our two experiments and found that models instantiating the principles of partial dependency provided the best fit to the data. Our results further suggest that mechanisms inducing partial dependency, such as lateral inhibition, are beneficial for understanding complex decision-making dynamics, even when the task is relatively simple. (PsycInfo Database Record (c) 2021 APA, all rights reserved).Where do we "go" when we recollect our past? When remembering a past event, it is intuitive to imagine some part of ourselves mentally "jumping back in time" to when the event occurred. I propose an alternative view, inspired by recent evidence from my lab and others, as well as by reexamining existing models of episodic recall that suggests that this notion of mentally revisiting any specific moment of our past is at best incomplete and at worst misleading. Instead, I suggest that we retrieve information from our past by mentally casting ourselves back simultaneously to many time points from our past, much like a quantum wave function spreading its probability mass over many possible states. This revised conceptual model makes important behavioral and neural predictions about how we retrieve information about our past, and has implications for how we study episodic memory experimentally. (PsycInfo Database Record (c) 2021 APA, all rights reserved).Humans use prior knowledge to efficiently solve novel tasks, but how they structure past knowledge during learning to enable such fast generalization is not well understood. We recently proposed that hierarchical state abstraction enabled generalization of simple one-step rules, by inferring context clusters for each rule. However, humans' daily tasks are often temporally extended, and necessitate more complex multi-step, hierarchically structured strategies. The options framework in hierarchical reinforcement learning provides a theoretical framework for representing such transferable strategies. Options are abstract multi-step policies, assembled from simpler one-step actions or other options, that can represent meaningful reusable strategies as temporal abstractions. We developed a novel sequential decision-making protocol to test if humans learn and transfer multi-step options. In a series of four experiments, we found transfer effects at multiple hierarchical levels of abstraction that could not be explained by flat reinforcement learning models or hierarchical models lacking temporal abstractions. We extended the options framework to develop a quantitative model that blends temporal and state abstractions. Our model captures the transfer effects observed in human participants. Our results provide evidence that humans create and compose hierarchical options, and use them to explore in novel contexts, consequently transferring past knowledge and speeding up learning. (PsycInfo Database Record (c) 2021 APA, all rights reserved).The COVID-19 pandemic has dramatically affected everyone's work and daily life, and many employees are talking with their coworkers about this widespread pandemic on a regular basis. In this research, we examine how talking about crises such as COVID-19 at the team level affects team dynamics and behaviors. Drawing upon cultural tightness-looseness theory, we propose that talking about the COVID-19 crisis among team members is positively associated with team cultural tightness, which in turn benefits teams by decreasing team deviance but hurts teams by decreasing team creativity. Furthermore, we suggest that team virtuality moderates and weakens these indirect effects because face-to-face communication about COVID-19 is more powerful in influencing team cultural tightness than virtual communication. Results from a multisource, three-wave field study during the pandemic lend substantial support to these hypotheses. We discuss the theoretical and practical implications of these findings and directions for future research.
My Website: https://www.selleckchem.com/products/otssp167.html
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