Wolfram Schultz
Prof Wolfram Schultz FRS
Wellcome Principal Research Fellow and Professor of Neuroscience, Department of Physiology, Development & Neuroscience, University of Cambridge, UK
Fellow, Churchill College, University of Cambridge, UK
Visiting Associate in Neuroscience, Division of Humanities and Social Sciences, California Institute of Technology, Pasadena, CA
Formely, Professor of Neurophysiology, University of Fribourg, Switzerland
ws42@pm.me, Wolfram.Schultz@protonmail.com
Neuroeconomics of reward and decision-making
Our group is interested in identifying brain signals for reward and economic decisions. As information processing systems work with explicit signals, we like to identify and characterise such signals before investigating detailed neuronal mechanisms. We use concepts from animal learning theory and economic decision theory and combine behavioural, neurophysiological and neuroimaging (fMRI) methods. We search for neuronal responses that implement fundamental theoretical constructs underlying reward-seeking, learning and decision-making, such as reward prediction error, utility, probability, risk, object-action-chosen value, and revealed preference. Studied brain structures include dopamine neurons, striatum, frontal cortex and amygdala. Please find more information in a short general article or update on dopamine reward prediction error coding, a brief overview or longer review on reward and economic decisions. Please find also my short CV, full CV, publication list and my 2022 autobiography written for the Society for Neuroscience (SfN).
Laboratory members
Aled H. David (Lab manager) (BSc Univ Derby)
Simone Ferrari Toniolo (PhD Univ Rome)
Daniel F. Hill (PhD Univ Arizona)
Main collaborations
Ralph Adolphs and Charles R. Plott (Caltech)
Ueli RĂ¼tishauser (Cedars-Sinai Los Angeles)
Peter Bossaerts (Economy Univ Cambridge)
Fabian Grabenhorst (Univ Oxford)
Masamichi Sakagami (Tamagawa Univ)
Lecture videos
Neuroinformatics Krakow Univ 2022
AV Hill Lecture Cambridge Univ 2021
Virtual Dopamine (ViDA) Princeton 2020
Chen Lecture Caltech 2017
Einstein Center Berlin 2016
Puerto Rico Univ 2014
Current funding
Wellcome Trust
Main previous funding
European Research Council (ERC)
NIMH (Caltech Conte Center)
Human Frontiers
Cambridge University studentships
Swiss National Science Foundation