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Journal of Vision|October 21, 2017
An image-computable psychophysical spatial vision modelHeiko H Schütt, Felix A Wichmann
Scientific Reports|November 21, 2023
Using deep neural networks as a guide for modeling human planningIonatan Kuperwajs, Heiko H Schütt, Wei Ji Ma
Nature Neuroscience|June 19, 2024
Reward prediction error neurons implement an efficient code for rewardHeiko H Schütt, Dongjae Kim, Wei Ji Ma
Journal of Vision|February 13, 2016
Perception of light source distance from shading patternsHeiko H Schütt, Franziska Baier, Roland W Fleming
Elife|August 23, 2023
Statistical inference on representational geometriesHeiko H Schütt, Alexander D Kipnis, Jörn Diedrichsen, et al.
Vision Research|March 26, 2016
Painfree and accurate Bayesian estimation of psychometric functions for (potentially) overdispersed dataHeiko H Schütt, Stefan Harmeling, Jakob H Macke, et al.
Psychological Review|February 22, 2023
Point estimate observers: A new class of models for perceptual decision makingHeiko H Schütt, Aspen H Yoo, Joshua Calder-Travis, et al.
Journal of Vision|March 2, 2019
Disentangling bottom-up versus top-down and low-level versus high-level influences on eye movements over timeHeiko H Schütt, Lars O M Rothkegel, Hans A Trukenbrod, et al.
Vision Research|November 7, 2016
Influence of initial fixation position in scene viewingLars O M Rothkegel, Hans A Trukenbrod, Heiko H Schütt, et al.
Scientific Reports|February 9, 2019
Searchers adjust their eye-movement dynamics to target characteristics in natural scenesLars O M Rothkegel, Heiko H Schütt, Hans A Trukenbrod, et al.
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