We are delighted to announce the inaugural Oregon Decision Neuroscience Symposium!
There is no official hotel accommodations for our out-of-town attendees.
Hotels near UO campus:
Airbnb Eugene is also a great option for accommodation
Brian Knutson (Stanford)
Neuroforecasting aggregate choice
Cendri Hutcherson (Toronto)
Neural and computational dynamics of self-regulation during decision making
Recent work on the computational bases of decision making behaviour suggests that choices emerge out of a dynamic process of value sampling and evidence accumulation. Here, I consider the implications of this architecture for understanding how people self-regulate their choices, and when and why they might fail. Aspects of this work imply important caveats to current discussions about the role of automaticity and control in self-regulation, while other aspects of this work support important ideas in “dual process” models of self-control. I will showcase recent research from my lab highlighting both the challenges inherent to studying these kinds of problems, as well as potential behavioral, neural, and computational approaches to solving them.
Ming Hsu (Berkeley)
Winning hearts and minds: cognitive neuroscience of consumer behavior
The past decade has seen substantial progress in our understanding of the neural basis of economic decision-making. Major gaps remain, however, in applying current neuroeconomic frameworks to understand decision-making in the real world. In particular, while everyday decision-making in the real world seldom happens without input from semantic memory, which provides the decision-maker (DM) with access to the world knowledge she has acquired, laboratory studies of decision-making to date have largely focused on valuation and have (often explicitly) limited contributions by semantic memory. We fill this gap by developing a computational approach that conceptualizes MB-C as the product of the interaction between processes involving memory (e.g., retrieval of eligible items from memory) and preference (e.g. valuation of the successfully retrieved items). Our findings reveal an important cognitive mechanism through which semantic memory influences and constrains value-based decision-making.
Amitai Shenhav (Brown)
The costs and benefits of engaging in cost-benefit decisions
Research on value-based decision-making has uncovered a consistent set of behavioral and neural signatures of those decisions and their putative inputs. These findings implicate regions of prefrontal cortex and striatum in the evaluation of choice options and comparison thereof, and demonstrate how choice dynamics can be accounted for by prominent accumulation-to-bound models. However, this research often overlooks key cognitive and affective properties of these decisions that bear on the interpretation of previous findings. I will describe a series of studies that examine questions about these underexplored properties, including (a) the extent to which reward-based decisions are centered on reward-centered versus goal-centered subjective values; (b) the extent to which neural correlates of choice value reflect decision-related processes versus more basic affective appraisal of one’s choice set; and (c) what mechanisms determine our perceptions of the costs of decision-making. Collectively, the findings of these studies force a reinterpretation of common assumptions regarding value-based decision-making and its neural underpinnings.
John Clithero (Oregon)
Applications of Multi-Attribute Sequential Sampling Models in Simple Choice
Anita Cservenka (Oregon State)
Heavy marijuana use and risky decision-making in young adult college students
Marijuana (MJ) is the most widely used illicit substance worldwide, and its use is especially prevalent among adolescents and young adults. Previous research suggests frequent MJ use is associated with impairments in cognitive flexibility and inhibition, both of which play important roles in decision-making. However, the effects of MJ use on decision-making performance are mixed and only few studies have examined frequent MJ use and risky decision-making in young adults. Given the protracted development of the prefrontal cortex, the young adult brain may be especially sensitive to the neurotoxic effects of MJ, which could impair decision-making. The current study examined the influence of heavy MJ use on risky decision-making in college students, 18-22 years old. Findings suggest MJ users may be more sensitive to rewards (i.e. pleasure associated with MJ use) and less sensitive to losses (i.e. consequences of heavy MJ use), which perpetuate the maintenance of MJ use.