Low alpha power (7.5–9.5 Hz) changes during positive and negative affective learning

There is evidence that the positive and the negative word lists of the Affective Auditory Verbal Learning Test (AAVL) are useful with regard to mood induction. To date, however, changes in brain activation, as indicated by quantitative electroencephalographic recording, have not been examined. Thus, changes in low alpha power (7.5–9.5 Hz) were examined during and after completion of the positive or the negative learning list of the AAVL among 37 undergraduate men and women. Three primary findings from the study include the following: (1) Previously reported recall patterns were replicated; (2) participants who completed the negative list reported a significant decline in mood state at the end of the session; and (3) participants who completed the negative word list evidenced a significant reduction in low alpha power (in comparison with baseline) within the parietal regions. The findings noted above are seemingly counter to contemporary theories of mood regulation (i.e., asymmetrical changes in anterior activity, rather than changes in parietal regions). Although the AAVL may have limited utility as a tool for mood induction, it may serve as a functional tool for examination of the cerebral processes associated with affective verbal memory

More Than Money: Experienced Positive Affect Reduces Risk-Taking Behavior on a Real-World Gambling Task

Previous research indicates that when people participate in multi-trial games of chance, the results of previous trials impact subsequent wager size. For example, the “house money” and “break even” effects suggest that an individual’s risk-taking propensity increases when financially winning or losing during a gambling session. Additionally, the “mood maintenance hypothesis” and affect regulation hypothesis suggest that people in positive and negative affective states are less and more likely to gamble than when in neutral affective states, respectively. In the present study, participants completed a series of trials on three computerized slot machines with varying expected values (EV; −10, 0, +10%) of return on investment, and they were paid a percentage of their final bankrolls in real money. Although results did not support the “house money” or “break even” effects, the “mood maintenance hypothesis” was robustly supported in all EV conditions. This is some of the first evidence supporting this theory using an ecologically valid, real-money gambling task

Racing Diffusion Model of Implicit Association Tests

Implicit biases are stereotypes and attitudes that impact our decisions and actions, playing an important role in discrimination and societal inequities. The most widely used tool for measuring implicit bias is the Implicit Association Test (IAT), which assesses response time in sorting stimuli into labeled categories. Most interpretations of the IAT assume that response time is driven by the activation of conflicting associative memories, or decision ease. In the current project we wish to challange this assumption by testing another process that may impact IAT results, response caution, which is people’s tendency to sacrifice speed for accuracy. We use Racing Diffusion Models to differentiate the effects of decision ease and response caution on IAT results across 39 topics. Exploratory analyses suggest that response caution is a stronger predictor of both IAT scores and explicit preferences relative to decision ease. Our findings have important implications for IAT assessment and interventions

Perceived time pressure and the Iowa Gambling Task

The purpose of the present study was to investigate the effect of perceived time pressure on a learning-based task called the Iowa Gambling Task (IGT). One hundred and sixty-three participants were randomly assigned to one of two groups. The experimental group was informed that the time allotted was typically insufficient to learn and successfully complete the task. The control group was informed that the time allotted was typically sufficient to learn and successfully complete the task. Both groups completed the IGT and performance was recorded. The major finding was that participants who were advised that the amount of time allotted was typically insufficient to complete the task performed significantly worse than those who were advised that time was typically sufficient to complete the task.Iowa Gambling Task; decision making; time pressure.

FlexDDM: A flexible decision-diffusion Python package for the behavioral sciences

Decision diffusion models are commonly used to explain the processes underlying decision-making. Many software options exist for cognitive scientists to fit diffusion models to data; however, they tend to lack customizability beyond existing model formulations that are already built into them, stymying new theoretical contributions. We introduce FlexDDM, a new Python package that requires minimal coding to develop new diffusion models. The package is equipped with four standard models of cognitive conflict tasks and a suite of fitting techniques. Our development of FlexDDM aims to broaden the accessibility and applicability of computational methods in cognitive science, thereby accelerating theoretical innovation and contributing to advancements in the field of behavioral sciences

The Relationship Between Behavioral Inhibition System Sensitivity and Neuroticism

Neuroticism is one of the dimensions of the Big Five personality model that measures different personality traits. Individuals who score high on the scale of neuroticism are more likely to experience negative emotions such as anxiety or fear, and these individuals are prone to lacking adaptive coping skills when dealing with stressors (Widiger, 2009). Another method to better appreciate differences in personality is known as the Behavioral Inhibition/Behavioral Activation System (BIS/BAS). Higher BIS scores are associated with increased sensitivity to punishments and increased experience of negative emotions such as anxiety and guilt (Carver &White, 1994). The relationship between neuroticism and BIS sensitivity was investigated in this study. My hypothesis was that individuals who score higher on neuroticism will also have greater BIS sensitivity. A Pearson correlation was performed using Neuroticism ad BIS data and a significant relationship was uncovered, r(112)=0.68, phttps://commons.case.edu/intersections-fa20/1012/thumbnail.jp