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Zurich Center for Neuroeconomics (ZNE)

Neuroeconomics Seminar

(formerly: Foundations of Human Social Behavior)

Spring 2020

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

Please direct your questions and speaker suggestions to Alexander Ritschel, Phone +41 44 634 52 20

Date Presenter Topic Host

20.02.2020

Pamela K. Douglas

UCLA

Transparency in Deep Learning for Neuroimaging

Abstract (PDF, 172 KB)

Hare
27.02.2020

Tobias U. Hauser

University College London

When Brain Juices Make You Noisy: The Role of Catecholamines in Choice Inconsistencies

Abstract (PDF, 204 KB)

Hare
05.03.2020

Bahador Bahrami

Ludwig-Maximilians-University Munich

A Minimally Dishonest Strategy for Winning Elections

Abstract (PDF, 173 KB)

Ruff

09.04

Justin Kim

Sungkyunkwan University

Neurocognitive Mechanisms of Valence Decisions in Naturally Ambiguous Facial Expressions

Abstract (PDF, 114 KB)

Tobler

16.04.2020

Luca Polonio

IMT School for Advanced Studies Lucca

The process of choice in normal-form games

Abstract (PDF, 113 KB)

Alós-Ferrer

23.04.2020

Laura Fontanesi

University of Basel

Modeling value effects on choice response times in reinforcement learning

Abstract (PDF, 112 KB)

Hare

30.04.2020

Ian Krajbich

Ohio State University

Exploring response time phenomena in economic choice

Abstract (PDF, 113 KB)

Ruff

07.05.2020

Karolina Lempert

University of Pennsylvania

Contributions of episodic memory to temporal discounting

Abstract (PDF, 115 KB)

Ruff

14.05.2020

Keno Juchems

University of Oxford

Where does value come from?

Abstract (PDF, 110 KB)

Hare

28.05.2020

Daniel Schad

Tilburg University

Dissociating neural learning signals in human sign- and goal-trackers

Abstract (PDF, 113 KB)

Tobler

 

04.06.2020

James Howard

Northwestern University

Neural mechanisms underlying flexible outcome-guided decisions in humans

Abstract (PDF, 112 KB)

Tobler
11.06.2020 Oral Examination Examiner: Prof. Dr. Ernst Fehr  

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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