Society for NeuroEconomics

 

 
 

This is what the event will be about! 

Sessions



President Welcome

Hilke Plassmann, INSEAD


I- Session Chair Introduction

Anna Konova, Rutgers University


I-1 Considering what we know and what we don't know

Romy  Froemer, Brown University


I-2 Predicting Risk Attitudes from the Precision of Neural Magnitude Representations

Gilles de Hollander, University of Zurich


I-3 From Value to Saliency: Neural Computations of Subjective Value under Uncertainty

Ruonan Jia, Yale University


I-4 Predicting individual differences in delay discounting based on fMRI

Leonie  Koban, INSEAD


I- Q&A Period

 


Poster Spotlights Session 1

 


Poster Session 1

 


Panel of Funding Officers

Robb Rutledge, Yale University



Networking Time

 


II- Session Chair Introduction

Cendri Hutcherson, University of Toronto


Sponsored by:


II-1 The computational basis of individuals' learning under uncertainty in groups

Hanbo Xie, Peking University


II-2 Interoceptive sensitivity is associated with neural representation of others' rewards

Luis Contreras Huerta, University of Oxford


II-3 Modeling models of others' mental states

Tessa Rusch, California Institute of Technology


II-4 Emotion Prediction Errors Guide Socially Adaptive Behavior

Joseph Heffner, Brown University


II- Q&A Period

 


Sponsored by:


Poster Spotlights Session 2

 


Poster Session 2

 


S1- Symposium 1 Chair Introduction

Hilke Plassmann, INSEAD


Sponsored by:


S1-1 Using neural data to improve forecasts of market-level behavior

Alexander Genevsky, Erasmus University


S1-2 Predictive Power of fMRI, Survey and Sales Data

Anita Tusche, Queen’s University


S1-3 Population news sharing is reflected in distributed reward-related brain activity

Bruce Doré, McGill University


S1-4 Neuroforecasting aggregate choice in online dating

Steve Shaw, University of Michigan


S1- Q&A Period

 


Sponsored by:


Session IV Chair Introduction

Jan Zimmermann, University of Minnesota


IV-1 Grid-like codes for novel inferences during value-based decision making

Seongmin Park, University of California, Davis


IV-2 Values Encoded in Orbitofrontal Cortex Are Causally Related to Economic Choices

Weikang Shi, Washington University in St. Louis


IV-3 Retrieval-Constrained Valuation: Toward Prediction of Open-Ended Decisions

Zhihao Zhang, University of California, Berkeley


IV- Q&A Period

 


Kavli Lecture: Cognition and Motivation in Physical and Social Space and Time

Elke Weber, Princeton University


Sponsored by:


Kavli Lecture Q&A Period

 


Sponsored by:


V Session Chair Introduction

Sebastian Gluth, University of Basel


V-1 Individual heterogeneity in foraging behavior relates to drug addiction

Candace Raio, New York University


V-2 Foraging behavior adjusts to multiple scales of context

Nora Harhen, University of California, Irvine


V-3 Assessing trial-level sequential effects in a non-sequential risk task using cognitive models an

Nidhi Banavar, University of California, Irvine


V-4 Adaptive arbitration between strategies during human social learning: emulation, imitation and d

Caroline Charpentier, California Institute of Technology


V- Q&A Period

 


Social Hour

 


Poster Spotlight Session 3

 


Poster Session 3

 


VI Session Chair Introduction

John Clithero, University of Oregon


Sponsored by:


VI-1 Efficient Coding and Risky Choice

Cary Frydman, University of Southern California


VI-2 Efficient learning of statistical regularities in higher-level cognition

Rafael Polania, University of Zurich


VI-3 In what environments is divisive normalization an efficient computation?

Stefan Bucher, New York University


VI-4 How representations adapt: the role of structure in model-based planning

Neil Garrett, University of Oxford


VI- Q&A Period

 


Sponsored by:


S2 Symposium Chair Introduction

Molly Crockett, Yale University


Sponsored by:


S2-1 A computational reward learning account of social media engagement

Björn Lindström, University of Amsterdam


S2-2 Using Neuroscience to Causally Affect Information Sharing

Christin Scholz, University of Amsterdam


S2-3 Social learning of moral outrage in online networks

William Brady, Yale University


S2-4 Polarized neural responses to political content are associated with biased assimilation of poli

Yuan Chang  Leong, University of California, Berkeley


S2 Q&A Period

 


Sponsored by:


Society News and Closing Remarks

Hilke Plassmann, INSEAD


Sponsors













The Wharton Neuroscience Initiative, led by faculty director, Michael Platt, and executive director, Elizabeth (Zab) Johnson, is a community of faculty, undergraduates, graduate and professional students, and staff interested in connecting brain science and business.  As a premier research business school, Wharton boasts an outstanding faculty, a thriving MBA program, a strong research PhD training program, and unequaled undergraduate program situated on a cohesive and compact campus in Philadelphia, a major east coast city that is riding a new wave of financial and cultural investment tied to the new urbanism movement. These assets are complemented by the University of Pennsylvania and all of its constituent Schools, including Arts & Sciences and the Perelman School of Medicine.










i am on skype as: https://join.skype.com/invite/m1bl08ytYUVm
i appreciating asking your questions and...
the best







A live presentation of this content will be available during poster presentation 1. 































































































































































































































































































































Shabnam Hakimi, Ph.D.
Center for Cognitive Neuroscience
Duke University


https://www.shabnamhakimi.com/

Twitter: @shabnamhakimi



















Welcome to my poster!
Looking forward to your questions and feedback.
Vera