Heiko H. Schütt

发表

Influence of initial fixation position in scene viewing

Felix A. Wichmann, Ralf Engbert, Lars O.M. Rothkegel, 2016, Vision Research.

Predicting the Fixation Density Over Time

Felix A. Wichmann, Ralf Engbert, Hans A. Trukenbrod, 2018 .

Comparing deep neural networks against humans: object recognition when the signal gets weaker pdf

Matthias Bethge, Felix A. Wichmann, Robert Geirhos, 2017, ArXiv.

We know what we can see - peripheral visibility of search targets shapes eye movement behavior in natural scenes

Felix A. Wichmann, Ralf Engbert, Hans A. Trukenbrod, 2017 .

Painfree and accurate Bayesian estimation of psychometric functions for (potentially) overdispersed data

Felix A. Wichmann, Jakob H. Macke, Stefan Harmeling, 2016, Vision Research.

Generalisation in humans and deep neural networks

Matthias Bethge, Felix A. Wichmann, Robert Geirhos, 2018, NeurIPS.

Methods and measurements to compare men against machines

Matthias Bethge, Guillermo Aguilar, Felix A. Wichmann, 2017, HVEI.

Of Human Observers and Deep Neural Networks: A Detailed Psychophysical Comparison

Matthias Bethge, Felix A. Wichmann, Robert Geirhos, 2017 .

Predicting fixation densities over time from early visual processing

Felix A. Wichmann, Ralf Engbert, Hans A. Trukenbrod, 2018 .

Comparing representational geometries using whitened unbiased-distance-matrix similarity

Jörn Diedrichsen, Nikolaus Kriegeskorte, Marieke Mur, 2021, Neurons, Behavior, Data analysis, and Theory.

Disentangling bottom-up versus top-down and low-level versus high-level influences on eye movements over time.

Ralf Engbert, Heiko H Schütt, Lars O M Rothkegel, 2019, Journal of vision.

Disentangling bottom-up vs . top-down and low-level vs . high-level influences on eye movements over time

Heiko H. Schütt, Lars O. M. Rothkegel, Ralf Engbert, 2018 .

Temporal evolution of the central fixation bias in scene viewing.

Ralf Engbert, Heiko H Schütt, Lars O M Rothkegel, 2016, Journal of vision.

Reducing the Central Fixation Bias in Scene Viewing

Heiko H. Schütt, Lars O. M. Rothkegel, Ralf Engbert, 2016 .

Likelihood-Based Parameter Estimation and Comparison of Dynamical Cognitive Models

Heiko H. Schütt, Lars O. M. Rothkegel, S. Reich, 2016, Psychological review.

An image-computable psychophysical spatial vision model.

Heiko H Schütt, Felix A Wichmann, Heiko H. Schütt, 2017, Journal of vision.

Deep neural models for color classification and color constancy

Heiko H. Schütt, R. Fleming, K. Gegenfurtner, 2022, Journal of vision.

Psignifit 4: Pain-free Bayesian Inference for Psychometric Functions.

Stefan Harmeling, Heiko H. Schütt, Jakob Macke, 2015, Journal of vision.

Comparing representational geometries using whitened unbiased-distance-matrix similarity

Heiko H. Schütt, J. Diedrichsen, N. Kriegeskorte, 2020, Neurons, Behavior, Data analysis, and Theory.

Searchers adjust their eye-movement dynamics to target characteristics in natural scenes

Heiko H. Schütt, Lars O. M. Rothkegel, Ralf Engbert, 2018, Scientific Reports.

Point estimate observers: A new class of models for perceptual decision making.

Heiko H. Schütt, Aspen H. Yoo, Wei Ji Ma, 2021, Psychological review.

Comparing representational geometries using the unbiased distance correlation

Heiko H. Schütt, J. Diedrichsen, N. Kriegeskorte, 2020 .

Reward prediction error neurons implement an efficient code for reward

Heiko H. Schütt, W. Ma, Dongjae Kim, 2023, bioRxiv.

Statistical inference on representational geometries

Heiko H. Schütt, J. Diedrichsen, N. Kriegeskorte, 2021, eLife.

Disentangling bottom-up versus top-down and low-level versus high-level influences on eye movements over time.

Heiko H. Schütt, Lars O. M. Rothkegel, Ralf Engbert, 2019, Journal of vision.

Unsupervised learning of features and object boundaries from local prediction

Heiko H. Schütt, W. Ma, H. Schütt, 2022, ArXiv.