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Number of items: 27.

Zednik, C. and Jäkel, F. (2019):
Descending Marr’s levels: Standard observers are no panacea.
In: Behavioral and Brain Sciences, pp. 43-44, 41, [Article]

Hummel, P. A. and Jäkel, F. and Lange, S. and Mertelsmann, R.
Cox, M. and Funk, P. and Begum, S. (eds.) (2018):
A Textual Recommender System for Clinical Data.
In: International Conference on Case-Based Reasoning 2018, In: Lecture Notes in Computer Science, DOI: 10.1007/978-3-030-01081-2₁₀,
[Conference or Workshop Item]

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]

Zednik, C. and Jäkel, F. (2016):
Bayesian reverse-engineering considered as a research strategy for cognitive science.
In: Synthese, pp. 3951-3985, DOI: 10.1007/s11229-016-1180-3,
[Online-Edition: https://doi.org/10.1007/s11229-016-1180-3],
[Article]

Gershman, S. J. and Tenenbaum, J. and Jäkel, F. (2016):
Discovering hierarchical motion structure.
In: Vision Research, pp. 232-241, (126), DOI: 10.1016/j.visres.2015.03.004,
[Online-Edition: http://dx.doi.org/10.1016/j.visres.2015.03.004],
[Article]

Jäkel, F. and Liu, M. (2016):
On interactivity in probabilistic pragmatics: yet another rational analysis of scalar implicatures.
In: Zeitschrift für Sprachwissenschaft, pp. 69-87, 35, (1), DOI: 10.1515/zfs-2016-0005,
[Online-Edition: https://doi.org/10.1515/zfs-2016-0005],
[Article]

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]

Schumacher, J. and Wunderle, T. and Fries, P. and Jäkel, F. and Pipa, G. (2015):
A Statistical Framework to Infer Delay and Direction of Information Flow from Measurements of Complex Systems.
In: Neural Computation, pp. 1555-1608, 27, DOI: 10.1162/NECOa₀₀₇₅₆,
[Online-Edition: https://doi.org/10.1162/NECO_a_00756],
[Article]

Zednik, C. and Jäkel, F.
Bello, P. and Guarini, M. and McShane, M. and Scasselati, B. (eds.) (2014):
How does Bayesian reverse-engineering work?
Austin, TX, Cognitive Science Society, In: Proceedings of the 36th Annual Conference of the Cognitive Science Society, Austin, TX, [Online-Edition: https://mindmodeling.org/cogsci2014/papers/123/paper123.pdf],
[Conference or Workshop Item]

Gershman, S. J. and Jäkel, F. and Tenenbaum, J. B.
Knauff, M. and Pauen, M. and Sebanz, N. and Wachsmuth, I. (eds.) (2013):
Bayesian Vector Analysis and the Perception of Hierarchical Motion.
Austin, TX, Cognitive Science Society, In: Proceedings of the 35th Annual Conference of the Cognitive Science Society, Austin, TX, [Online-Edition: http://mindmodeling.org/cogsci2013/papers/0112/paper0112.pdf],
[Conference or Workshop Item]

León-Villagrá, P. and Jäkel, F.
Knauff, M. and Pauen, M. and Sebanz, N. and Wachsmuth, I. (eds.) (2013):
Categorization and Abstract Similarity in Chess.
Austin, TX, In: Annual Conference of the Cognitive Science Society 2013, Austin, TX, [Online-Edition: https://mindmodeling.org/cogsci2013/papers/0513/paper0513.pd...],
[Conference or Workshop Item]

Jäkel, F. and Schreiber, C. (2013):
Introspection in Problem Solving.
In: Journal of Problem Solving, pp. 20-33, 6, (1), DOI: 10.7771/1932-6246.1131,
[Online-Edition: http://dx.doi.org/10.7771/1932-6246.1131],
[Article]

Jäkel, F. and Meyer, U.
Stephan, A. and Walter, S. (eds.) (2013):
Kategorisierung und Begriffe.
In: Handbuch Kognitionswissenschaft, Stuttgart, Metzler, [Book Section]

Stüttgen, M. C. and Kasties, N. and Lengersdorf, D. and Starosta, S. and Güntürkün, O. and Jäkel, F. (2013):
Suboptimal criterion setting in a perceptual choice task with asymmetric reinforcement.
In: Behavioral Processes, pp. 59-70, 96, DOI: 10.1016/j.beproc.2013.02.014,
[Online-Edition: https://doi.org/10.1016/j.beproc.2013.02.014],
[Article]

Stüttgen, M. C. and Schwarz, C. and Jäkel, F. (2011):
Mapping spikes to sensations.
In: Frontiers in Neuroscience, pp. 1-17, 5, (125), DOI: 10.3389/fnins.2011.00125,
[Online-Edition: https://doi.org/10.3389/fnins.2011.00125],
[Article]

Fleming, R. and Jäkel, F. and Maloney, L. T. (2011):
Visual Perception of Thick Transparent Materials.
In: Psychological Science, pp. 812-820, 22, DOI: 10.1177/0956797611408734,
[Online-Edition: https://doi.org/10.1177/0956797611408734],
[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]

Savova, V. and Jäkel, F. and Tenenbaum, J. B.
Taatgen, N. and van Rijn, H. (eds.) (2009):
Grammar-based object representations in a scene parsing task.
Austin, TX, Cognitive Science Society, In: Proceedings of the 31st Annual Meeting of the Cognitive Science Society, Austin, TX, [Online-Edition: http://csjarchive.cogsci.rpi.edu/proceedings/2009/papers/150...],
[Conference or Workshop Item]

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]

Cooke, T. and Jäkel, F. and Wallraven, C. and Bülthoff, H. (2007):
Multimodal Similarity and Categorization of Novel, Three-Dimensional Objects.
In: Neuropsychologia, pp. 484-495, 45, DOI: 10.1016/j.neuropsychologia.2006.02.009,
[Online-Edition: https://doi.org/10.1016/j.neuropsychologia.2006.02.009],
[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]

Görür, D. and Jäkel, F. and Rasmussen, C. E. (2006):
A Choice Model with Infinitely Many Latent Features.
Pittsburgh, PA, In: Proceedings of the 23rd International Conference on Machine Learning, Pittsburgh, PA, [Online-Edition: https://dl.acm.org/citation.cfm?id=1143890],
[Conference or Workshop Item]

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]

Jäkel, F. and Ernst, M. O.
Oakley, I. and O'Modhrain, S. and Newell, F. (eds.) (2003):
Learning to Combine Arbitrary Signals from Vision and Touch.
Trinity College Dublin and Media Lab Europe, In: Eurohaptics 2003 Conference Proceedings, [Conference or Workshop Item]

Storck, J. and Jäkel, F. and Deco, G. (2001):
Temporal clustering with spiking neurons and dynamic synapses: towards technological applications.
In: Neural Networks, pp. 275-285, 14, (3), DOI: 10.1016/S0893-6080(00)00101-5,
[Online-Edition: https://doi.org/10.1016/S0893-6080(00)00101-5],
[Article]

This list was generated on Sat Oct 12 02:26:10 2019 CEST.