Publikationen von FA Wichmann

Meding, K.; Bruijns, S.; Schölkopf, B.; Berens, P.; Wichmann, F.: Phenomenal Causality and Sensory Realism. i-Perception 11 (3), S. 1 - 16 (2020)

Wallis, T.; Tobias, S.; Bethge, M.; Wichmann, F.: Correction to: Detecting distortions of peripherally presented letter stimuli under crowded conditions. Attention, Perception & Psychophysics 81 (8), S. 2968 - 2970 (2019)

Wallis, T.; Funke, C.; Ecker, A.; Gatys, L.; Wichmann, F.; Bethge, M.: Image content is more important than Bouma’s Law for scene metamers. eLife 8, S. 1 - 43 (2019)

Wallis, T.; Funke, C.; Ecker, A.; Gatys, L.; Wichmann, F.; Bethge, M.: Image content is more important than1Bouma’s Law for scene metamers. eLife 8, S. 1 - 43 (2019)

Wallis, T.; Funke, C.; Ecker, A.; Gatys, L.; Wichmann, F.; Bethge, M.: A parametric texture model based on deep convolutional features closely matches texture appearance for humans. Journal of Vision 17 (12), 5, S. 1 - 29 (2017)

Wallis, T.; Tobias, S.; Bethge, M.; Wichmann, F.: Detecting distortions of peripherally presented letter stimuli under crowded conditions. Attention, Perception, Psychophysics 79 (3), S. 850 - 862 (2017)

Schütt, H.; Harmeling, S.; Macke, J.; Wichmann, F.: Painfree and accurate Bayesian estimation of psychometric functions for (potentially) overdispersed data. Vision Research 122, S. 105 - 123 (2016)

Wallis, T.; Bethge, M.; Wichmann, F.: Testing models of peripheral encoding using metamerism in an oddity paradigm. Journal of Vision 16 (2), 4, S. 1 - 30 (2016)

Fründ, I.; Wichmann, F.; Macke, J.: Quantifying the effect of intertrial dependence on perceptual decisions. Journal of Vision 14 (7), 9 (2014)

Gerhard, H.; Wichmann, F.; Bethge, M.: How sensitive is the human visual system to the local statistics of natural images? PLoS Computational Biology 9 (1), S. 1 - 15 (2013)

Schönfelder, V.; Wichmann, F.: Sparse regularized regression identifies behaviorally-relevant stimulus features from psychophysical data. Journal of the Acoustical Society of America 131 (5), S. 3953 - 3969 (2012)

Putzeys, T.; Bethge, M.; Wichmann, F.; Wagemans, J.; Goris, R.: A New Perceptual Bias Reveals Suboptimal Population Decoding of Sensory Responses. PLoS Computational Biology 8 (4), S. 1 - 13 (2012)

Macke, J.; Wichmann, F.: Estimating predictive stimulus features from psychophysical data: The decision image technique applied to human faces. Journal of Vision 10 (5), 22, S. 1 - 24 (2010)

Thielscher, A.; Wichmann, F.: Determining the cortical target of transcranial magnetic stimulation. NeuroImage 47 (4), S. 1319 - 1330 (2009)

Jäkel, F.; Schölkopf, B.; Wichmann, F.: Does Cognitive Science Need Kernels? Trends in Cognitive Sciences 13 (9), S. 381 - 388 (2009)

Kienzle, W.; Franz, M.; Schölkopf, B.; Wichmann, F.: Center-surround patterns emerge as optimal predictors for human saccade targets. Journal of Vision 9 (5), 7, S. 1 - 15 (2009)

Jäkel, F.; Schölkopf, B.; Wichmann, F.: Similarity, Kernels, and the Triangle Inequality. Journal of Mathematical Psychology 52 (2), S. 297 - 303 (2008)

Jäkel, F.; Schölkopf, B.; Wichmann, F.: Generalization and Similarity in Exemplar Models of Categorization: Insights from Machine Learning. Psychonomic Bulletin & Review 15 (2), S. 256 - 271 (2008)

Jäkel, F.; Schölkopf, B.; Wichmann, F.: A Tutorial on Kernel Methods for Categorization. Journal of Mathematical Psychology 51 (6), S. 343 - 358 (2007)

Rosas, P.; Wichmann, F.; Wagemans, J.: Texture and object motion in slant discrimination: Failure of reliability-based weighting of cues may be evidence for strong fusion. Journal of Vision 7 (6), 3, S. 1 - 21 (2007)