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| Content Provider | frontiers |
|---|---|
| Author | Bortolato, Marco Madden, Gregory J. |
| Abstract | Beyond interventions, there are several state-factors known to influence the rate of delay discounting (Odum et al., 2020). The special topic paper by Downey et al. (2022) reviews the human and nonhuman literature to evaluate if deprivation (e.g., hunger, thirst, acute drug withdrawal) is one such state variable that, when increased, increases impulsive choice. They find little uniformity in the literature, either in how deprivation is imposed (e.g., hypothetical vs. real deprivations of varying durations) or in the effect sizes these manipulations induce. They discuss the importance of better understanding deprivation effects, and how greater uniformity might be brought to the literature.The special topic paper by Gilroy et al. (2022) examines the practice of excluding data because the shape of the discounting function is irregular, potentially reflecting inattention or careless survey responding. To avoid the inadvertent exclusion of valid data, the authors explore a Latent Class Mixed Modeling approach, which classifies groups of obtained uncharacteristic patterns of choice. Their application of that approach to a publicly available dataset suggests it may prove a useful supplement to existing methods for screening out unsystematic discounting data. The paper by Grunevski et al. (2022) reveals that an independent measure of ambivalence systematically increases as participants complete survey questions that approach the point of subjective equivalence (i.e., when the sma... |
| ISSN | 16625153 |
| DOI | 10.3389/fnbeh.2022.924030 |
| Volume Number | 16 |
| Journal | Frontiers in Behavioral Neuroscience |
| Language | English |
| Publisher Date | 2022-05-09 |
| Access Restriction | Open |
| Subject Keyword | Behavioral addiction Delay discounting Animal Models Decision Making Risk taking Impulsivity Probability discounting |
| Content Type | Text |
| Resource Type | Article |
| Subject | Cognitive Neuroscience Behavioral Neuroscience Neuropsychology and Physiological Psychology |
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