Neuroeconomics Seminar

(formerly: Foundations of Human Social Behavior)

Autumn 2018

Location: Thursday, 17:00 - 18:00h, Room BLU-003, Blumlisalpstrasse 10, 8006 Zurich

Please direct your questions and speaker suggestions to Arkady Konovalov, Phone +41 44 634 52 44

Date Presenter Topic Host
20.09.2018

Frank Krueger
University of Mannheim

Towards a model of interpersonal trust drawn from neuroscience, psychology, and economics

Abstract (PDF, 55 KB)

Alós-Ferrer
27.09.2018
 

Dimitri van de Ville
EPFL and University of Geneva

Dynamics of fMRI brain activity: perspectives for cognitive & clinical neurosciences

Abstract (PDF, 56 KB)

Stephan
11.10.2018 Ifat Levy
Yale University

Uncertainty in brain and behavior: implications for aging and psychopathology

Abstract (PDF, 53 KB)

Tobler
18.10.2018 Sudeep Bhatia
University of Pennsylvania

Knowledge Representation in Decision Making

Abstract (PDF, 47 KB)

Fehr
25.10.2018 Andrew Westbrook
Donders Institute

Dopamine and Proximity in Cognitive Control and Economic Choice

Abstract (PDF, 54 KB)

Paper

Tobler

15.11.2018

Additional talk:

special time!
16:00-17:00

Tal Yarkoni
University of Texas at Austin

Generalization, fast and slow

Abstract (PDF, 274 KB)

Hare
15.11.2018 Marc Guitart-Masip
Karolinska Institutet

Dopaminergic modulation of learning and decision making

Abstract (PDF, 223 KB)

Hare

22.11.2018

Giovanni Pezzulo
Institute of Cognitive Sciences and Technologies, Rome

Adaptive control and interoception: an active inference perspective

Abstract (PDF, 58 KB)

Stephan
29.11.2018 Valentin Wyart
Ecole Normale Superiore

Curious by choice or by chance? Computational noise in reward-guided learning drives behavioral variability in volatile environments

Abstract (PDF, 58 KB)

Ruff
13.12.2018 Sam Gershman
Harvard University

Imaginative reinforcement learning

Abstract (PDF, 55 KB)

Ruff
20.12.2018 Oral Examination Room: BLU-003Blumlisalpstrasse 10, Zurich
Examiner: Prof. Todd Hare
 

Course requirements

In order to receive credit for this course, participants must pass the oral examination.

Course credit

3 ECTS (pass/fail)

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