Kerstin Preuschoff

Affiliations: 
Geneva Finance Research Institute University of Geneva, Geneva, Switzerland 
Area:
Decision Neuroscience, Neuroeconomics, Neurofinance
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"Kerstin Preuschoff"
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Parents

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Peter Bossaerts grad student 2001-2006 Caltech
Steven R. Quartz grad student 2001-2007 Caltech
 (Neural Representations of Expected Reward and Risk during Gambling.)
Ernst Fehr research scientist 2007-2011 Universität Zürich
Wulfram Gerstner research scientist 2011-2014 EPFL
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Publications

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Liakoni V, Lehmann MP, Modirshanechi A, et al. (2022) Brain signals of a Surprise-Actor-Critic model: Evidence for multiple learning modules in human decision making. Neuroimage. 246: 118780
Williams TB, Burke CJ, Nebe S, et al. (2021) Testing models at the neural level reveals how the brain computes subjective value. Proceedings of the National Academy of Sciences of the United States of America. 118
Loued-Khenissi L, Preuschoff K. (2020) Information Theoretic Characterization of Uncertainty Distinguishes Surprise From Accuracy Signals in the Brain. Frontiers in Artificial Intelligence. 3: 5
Loued-Khenissi L, Preuschoff K. (2020) A Bird's Eye View From Below: Activity in the Temporo-Parietal Junction Predicts From-Above Necker Cube Percepts. Neuropsychologia. 107654
Lauffs MM, Geoghan SA, Favrod O, et al. (2020) Risk prediction error signaling: A two-component response? Neuroimage. 116766
Loued-Khenissi L, Pfeuffer A, Einhäuser W, et al. (2020) Anterior insula reflects surprise in value-based decision-making and perception. Neuroimage. 116549
Lehmann MP, Xu HA, Liakoni V, et al. (2019) One-shot learning and behavioral eligibility traces in sequential decision making. Elife. 8
Preuschoff K. (2019) Decision letter: Sensory prediction errors in the human midbrain signal identity violations independent of perceptual distance Elife
Loued-Khenissi L, Döll O, Preuschoff K. (2018) An Overview of Functional Magnetic Resonance Imaging Techniques for Organizational Research Organizational Research Methods. 22: 17-45
Faraji M, Preuschoff K, Gerstner W. (2017) Balancing New against Old Information: The Role of Puzzlement Surprise in Learning. Neural Computation. 1-50
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