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Heiko H Schütt, PhD - Publications

Affiliations: 
2018-2023 Center for Neural Science New York University, New York, NY, United States 
 2023- Cognitive Science and Assessment Group Universität Luxemburg 
Area:
Vision, Computational Models, Evaluation Methods
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20 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2023 Golan T, Taylor J, Schütt H, Peters B, Sommers RP, Seeliger K, Doerig A, Linton P, Konkle T, van Gerven M, Kording K, Richards B, Kietzmann TC, Lindsay GW, Kriegeskorte N. Deep neural networks are not a single hypothesis but a language for expressing computational hypotheses. The Behavioral and Brain Sciences. 46: e392. PMID 38054329 DOI: 10.1017/S0140525X23001553  0.747
2023 Kuperwajs I, Schütt HH, Ma WJ. Using deep neural networks as a guide for modeling human planning. Scientific Reports. 13: 20269. PMID 37985896 DOI: 10.1038/s41598-023-46850-1  0.703
2023 Schütt HH, Kipnis AD, Diedrichsen J, Kriegeskorte N. Statistical inference on representational geometries. Elife. 12. PMID 37610302 DOI: 10.7554/eLife.82566  0.612
2023 Schütt HH, Yoo AH, Calder-Travis J, Ma WJ. Point estimate observers: A new class of models for perceptual decision making. Psychological Review. PMID 36809000 DOI: 10.1037/rev0000402  0.656
2022 Flachot A, Akbarinia A, Schütt HH, Fleming RW, Wichmann FA, Gegenfurtner KR. Deep neural models for color classification and color constancy. Journal of Vision. 22: 17. PMID 35353153 DOI: 10.1167/jov.22.4.17  0.634
2019 Schütt HH, Rothkegel LOM, Trukenbrod HA, Engbert R, Wichmann FA. Disentangling bottom-up versus top-down and low-level versus high-level influences on eye movements over time. Journal of Vision. 19: 1. PMID 30821809 DOI: 10.1167/19.3.1  0.735
2019 Rothkegel LOM, Schütt HH, Trukenbrod HA, Wichmann FA, Engbert R. Searchers adjust their eye-movement dynamics to target characteristics in natural scenes. Scientific Reports. 9: 1635. PMID 30733470 DOI: 10.1038/S41598-018-37548-W  0.708
2018 Schütt H, Rothkegel L, Trukenbrod H, Engbert R, Wichmann F. Predicting fixation densities over time from early visual processing Journal of Vision. 18: 1210. DOI: 10.1167/18.10.1210  0.693
2017 Rothkegel LOM, Trukenbrod HA, Schütt HH, Wichmann FA, Engbert R. Temporal evolution of the central fixation bias in scene viewing. Journal of Vision. 17: 3. PMID 29094148 DOI: 10.1167/17.13.3  0.721
2017 Schütt HH, Wichmann FA. An image-computable psychophysical spatial vision model. Journal of Vision. 17: 12. PMID 29053781 DOI: 10.1167/17.12.12  0.663
2017 Schütt HH, Rothkegel LOM, Trukenbrod HA, Reich S, Wichmann FA, Engbert R. Likelihood-Based Parameter Estimation and Comparison of Dynamical Cognitive Models. Psychological Review. PMID 28447811 DOI: 10.1037/Rev0000068  0.724
2017 Wichmann FA, Janssen DHJ, Geirhos R, Aguilar G, Schütt HH, Maertens M, Bethge M. Methods and measurements to compare men against machines Electronic Imaging. 2017: 36-45. DOI: 10.2352/Issn.2470-1173.2017.14.Hvei-113  0.665
2017 Geirhos R, Janssen D, Schütt H, Bethge M, Wichmann F. Of Human Observers and Deep Neural Networks: A Detailed Psychophysical Comparison Journal of Vision. 17: 806. DOI: 10.1167/17.10.806  0.715
2017 Schütt H, Rothkegel L, Trukenbrod H, Engbert R, Wichmann F. Testing an Early Vision Model on Natural Image Stimuli Journal of Vision. 17: 783. DOI: 10.1167/17.10.783  0.714
2017 Rothkegel L, Schütt H, Trukenbrod H, Wichmann F, Engbert R. We know what we can see - peripheral visibility of search targets shapes eye movement behavior in natural scenes Journal of Vision. 17: 1120. DOI: 10.1167/17.10.1120  0.703
2016 Rothkegel LO, Trukenbrod HA, Schütt HH, Wichmann FA, Engbert R. Influence of initial fixation position in scene viewing. Vision Research. PMID 27771330 DOI: 10.1016/J.Visres.2016.09.012  0.723
2016 Schütt HH, Harmeling S, Macke JH, Wichmann FA. Painfree and accurate Bayesian estimation of psychometric functions for (potentially) overdispersed data. Vision Research. PMID 27013261 DOI: 10.1016/J.Visres.2016.02.002  0.634
2016 Schütt HH, Baier F, Fleming RW. Perception of light source distance from shading patterns. Journal of Vision. 16: 9. PMID 26868887 DOI: 10.1167/16.3.9  0.36
2015 Schütt H, Harmeling S, Macke J, Wichmann F. Psignifit 4: Pain-free Bayesian Inference for Psychometric Functions. Journal of Vision. 15: 474. PMID 26326162 DOI: 10.1167/15.12.474  0.532
2014 Schütt HH, Harmeling S, Macke JH, Wichmann FA. Pain-free bayesian inference for psychometric functions F1000research. 5: 162-162. DOI: 10.1177/03010066140430S101  0.59
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