Selected Publications

Although almost 200 temporal discounting experiments using functional magnetic resonance imaging are described in literature, there has not been a meta-analysis identifying regions activated when subjects choose SmallerSooner versus LargerLater alternatives. Evidence suggests a prefrontal cortex ‘abstraction hierarchy’, from abstract planning in more anterior regions to concrete processing in posterior regions. Because more distant future prospects are represented more abstractly, we hypothesized that LargerLater choices would be associated with more anterior PFC activation while SmallerSooner choices would be associated with more posterior activation. We examined the literature for temporal discounting tasks comparing decisions where subjects chose SmallerSooner vs. LargerLater rewards, and identified thirteen studies including 436 subjects which we tested in an SDM neural meta-analysis. We observed LargerLater activity anterior of SmallerSooner activity, both in the left inferior frontal gyrus pars triangularis, consistent with our pre-registered hypothesis that LargerLater would be observed anterior of SmallerSooner activity. We call for further work investigating links between temporal discounting representation and the processing of abstract and concrete information in the prefrontal cortex.
NBR

Although almost 200 temporal discounting experiments using functional magnetic resonance imaging are described in literature, there has not been a meta-analysis identifying regions activated when subjects choose SmallerSooner versus LargerLater alternatives. Evidence suggests a prefrontal cortex ‘abstraction hierarchy’, from abstract planning in more anterior regions to concrete processing in posterior regions. Because more distant future prospects are represented more abstractly, we hypothesized that LargerLater choices would be associated with more anterior PFC activation while SmallerSooner choices would be associated with more posterior activation. We examined the literature for temporal discounting tasks comparing decisions where subjects chose SmallerSooner vs. LargerLater rewards, and identified thirteen studies including 436 subjects which we tested in an SDM neural meta-analysis. We observed LargerLater activity anterior of SmallerSooner activity, both in the left inferior frontal gyrus pars triangularis, consistent with our pre-registered hypothesis that LargerLater would be observed anterior of SmallerSooner activity. We call for further work investigating links between temporal discounting representation and the processing of abstract and concrete information in the prefrontal cortex.
NBR

HIV is most prevalent among men who have sex with men (MSM), and although most MSM use condoms consistently during casual sex, some take risks. To better understand the psychology of those risky decisions, we examined neural correlates of playing a virtual sexual “hook up” game in an fMRI scanner in MSM who had, in the past 90 days, been sexually risky (N=76) or safe (N=31). We found that during potentially risky sexual choices, previously risky MSM had more right insula activity than previously safe MSM. Real-life sexual risk was related to trait positive and negative urgency. Insula activity which differentiated risky and safe MSM was related to trait positive and negative urgency. Future work should further examine if, and to what extent, insula activation during safe sex negotiation drives MSM’s rash risky sexual decision-making.
SCAN

How can the same underlying psychological/neurobiological system result in both stable between-individual differences and high levels of within-individual variability in personality states over time and situations? We argue that both types of variability result from a psychological system based on structured, chronic motivations, where behavior at a specific point in time is a joint function of the current availability of motive affordances in the situation, current motivationally relevant bodily or interoceptive states, and the result of the competition among alternative active motives. Here we present a biologically-based theoretical framework, embodied in two different computational models, that shows how individuals with stable personality characteristics, can nevertheless exhibit considerable within-person variability in personality states across time and situations.
JRP

Recent Publications

  • Modeling incentive salience in Pavlovian learning more parsimoniously using a multiple attribute model

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  • A meta-analytical review of brain activity associated with intertemporal decisions: Evidence for an anterior-posterior tangibility axis

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  • Prefrontal cortical activity during the Stroop task: New insights into the why and the who of real-world risky sexual behavior

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  • Virtually 'in the heat of the moment': Insula activation in safe sex negotiation among risky men.

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  • Virtual Personalities: Using computational modeling to understand within-person variability

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Recent & Upcoming Talks

Recent Posts

For this analysis, I retried 4271 records of American adults surveyed before and after the 2016 election. I demonstrated separability of the data among several interesting dimensions. Moving forward, we should be able to examine how that separability relates to regional differences in voting patterns. I calculated the principle components across all the dataset. Principle components analysis is a common dimension reduction technique intended to reduce the dimensionality of the data by rotating the data across the axes of the data that explain the most variance.

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Labour campaigned on cutting immigration by 20,000 to 30,000 people every year. Labour’s subsequent 10% vote boost across general electorates was tempered by a less enthusiastic boost from electorates with many residents from Asia1, and in those electorates, National actually gained overall. Overall there is currently no significant link between an electorate’s Asian immigrant population and that electorate’s level of support for Labour. But the change from 2014 to 2017 is significant: for every 1,000 residents from Asia in an electorate, National’s vote went up by 0.

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I am working on using a Bayesian model to estimate parameters for our reward learning data. I’m extending Nate Haines’ Double Update Model for Reversal Learning (Ahn, Haines, and Zhang 2017). Nate modified the version available in his package hBayesDM to work with our dataset, which is a deterministic Reversal Learning task. I have since incrementally extended it to handle two different tasks (reward and punishment learning) and repeated runs.

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For evaluating posteriors in Bayesian analysis it is pretty common to draw a “Highest Density Interval” to indicate the zone of highest (consecutive) density within a distribution, which may be plotted in a scatter plot or a histogram or density plot or similar. When working in ggplot, you’ll often add multiple layers to your graph in the form of “geoms”: for instance, a geom_point to show a scatterplot, which you could overlay with geom_abline to draw a trendline through the points.

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Projects

Demonstrating connections between structure and function through Bayesian modeling

I use Bayesian Joint Modeling to describe neural correlates of reward responsiveness, inhibition, and impulsivity and the interactions between them in a sample of 170 men who have sex with men.

A meta-analytical review of brain activity associated with intertemporal decisions: Evidence for a rostal-caudal tangibility axis

With evidence from a meta-analysis, I propose a rostral-caudal tangibility axis that helps to create general processes of psychological distance

Distinguishing honor, face, and dignity culture

with colleagues Peter Wang and Crystal Wang. We are examining the differences between Honor, Face, and Dignity culture. Leung & Cohen(2011) characterized these cultures in detail. We believe that systematic individual differences in personality can distinguish honor and face cultures, which, though distinct, have historically been difficult to characterize separately.

Teaching

  • Guest Lecture, August 2017, EDENZ Colleges New Zealand, Diploma in Business (Level 7), Values: Theory and Practice
  • Teaching instructor, University Southern California, 2016:
    • PSYC201: The Science of Happiness (1 semester 2016)
    • PSYC167: Drugs, Behavior, and Society (1 semester 2016)
  • Graduate Teaching Assistant, Auckland University:
    • PSYC108: Individual, Social, and Applied Psychology (2 semesters 2011)
    • PHIL101: Introduction to Logic (1 semester 2010)

Contact

Benjamin Smith

smithben@usc.edu

+1 (213) 740-7860

Ben Smith Department of Psychology University of Southern California SGM 501 3620 South McClintock Ave. Los Angeles, CA 90089-1061