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Number of items: 8.

Wichmann, F. A. and Jäkel, F.
Wixted, J. T. and Wagenmakers, E. J. (eds.) (2018):
Methods in Psychophysics.
In: Stevens' Handbook of Experimental Psychology and Cognitive Neuroscience, pp. 265-306, [Online-Edition: https://www.wiley.com/en-us/Stevens%27+Handbook+of+Experimen...],
[Book Section]

Jäkel, F. and Singh, M. and Wichmann, F. A. and Herzog, M. H. (2016):
An overview of quantitative approaches in Gestalt perception.
In: Vision Research, pp. 3-8, (126), DOI: 10.1016/j.visres.2016.06.004,
[Online-Edition: https://doi.org/10.1016/j.visres.2016.06.004],
[Article]

Jäkel, F. and Schölkopf, B. and Wichmann, F. A. (2009):
Does Cognitive Science Need Kernels.
In: Trends in Cognitive Sciences, pp. 381-388, 13, DOI: 10.1016/j.tics.2009.06.002,
[Online-Edition: https://doi.org/10.1016/j.tics.2009.06.002],
[Article]

Jäkel, F. and Schölkopf, B. and Wichmann, F. A. (2008):
Generalization and Similarity in Exemplar Models of Categorization: Insights from Machine Learning.
In: Psychonomic Bulletin & Review, pp. 256-271, 15, (2), DOI: 10.3758/PBR.15.2.256,
[Online-Edition: https://doi.org/10.3758/PBR.15.2.256],
[Article]

Jäkel, F. and Schölkopf, B. and Wichmann, F. A. (2008):
Similarity, Kernels and the Triangle Inequality.
In: Journal of Mathematical Psychology, pp. 297-303, 52, (5), DOI: 10.1016/j.jmp.2008.03.001,
[Online-Edition: https://doi.org/10.1016/j.jmp.2008.03.001],
[Article]

Jäkel, F. and Schölkopf, B. and Wichmann, F. A. (2007):
A Tutorial on Kernel Methods for Categorization.
In: Journal of Mathematical Psychology, pp. 343-358, 51, DOI: 10.1016/j.jmp.2007.06.002,
[Online-Edition: https://doi.org/10.1016/j.jmp.2007.06.002],
[Article]

Jäkel, F. and Wichmann, F. A. (2006):
Spatial four-alternative forced-choice method is the preferred psychophysical method for naïve observers.
In: Journal of Vision, pp. 1307-1322, 6, (11), DOI: 10.1167/6.11.13,
[Online-Edition: http://journalofvision.org/6/11/13/],
[Article]

Kuss, M. and Jäkel, F. and Wichmann, F. A. (2005):
Bayesian Inference for Psychometric Functions.
In: Journal of Vision, pp. 478-492, 5, DOI: 10.1167/5.5.8,
[Online-Edition: https://doi.org/10.1167/5.5.8],
[Article]

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