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

Panel of Journal Editors

Tali Sharot, University College London

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