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Number of items at this level: 29.

C

Collaboration, Open Science :
Estimating the reproducibility of psychological science.
[Online-Edition: http://dx.doi.org/10.1126/science.aac4716]
In: Science, 349 p. 943.
[Article] , (2015)

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

F

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

G

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

Gershman, S. J. and Jäkel, F. and Tenenbaum, J. B.
Knauff, M. and Pauen, M. and Sebanz, N. and Wachsmuth, I. (eds.) :

Bayesian Vector Analysis and the Perception of Hierarchical Motion.
[Online-Edition: http://mindmodeling.org/cogsci2013/papers/0112/paper0112.pdf]
In: Proceedings of the 35th Annual Conference of the Cognitive Science Society, Austin, TX. Cognitive Science Society , Austin, TX
[Conference or Workshop Item] , (2013)

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

H

Hummel, P. A. and Jäkel, F. and Lange, S. and Mertelsmann, R.
Cox, M. and Funk, P. and Begum, S. (eds.) :

A Textual Recommender System for Clinical Data.
In: International Conference on Case-Based Reasoning 2018. In: Lecture Notes in Computer Science (11156).
[Conference or Workshop Item] , (2018)

J

Jäkel, Frank and Worm, Oliver and Lange, Sascha and Mertelsmann, Roland :
A stochastic model of myeloid cell lineages in hematopoiesis and pathway mutations in acute myeloid leukemia.
In: PloS one, 13 (10) pp. 1-25. ISSN 1932-6203
[Article] , (2018)

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

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

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

Jäkel, F. and Meyer, U.
Stephan, A. and Walter, S. (eds.) :

Kategorisierung und Begriffe.
In: Handbuch Kognitionswissenschaft. Metzler, Stuttgart Stuttgart
[Book Section] , (2013)

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

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

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

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

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

Jäkel, F. and Ernst, M. O.
Oakley, I. and O'Modhrain, S. and Newell, F. (eds.) :

Learning to Combine Arbitrary Signals from Vision and Touch.
In: Eurohaptics 2003 Conference Proceedings. Trinity College Dublin and Media Lab Europe
[Conference or Workshop Item] , (2003)

K

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

L

León-Villagrá, P. and Jäkel, F.
Knauff, M. and Pauen, M. and Sebanz, N. and Wachsmuth, I. (eds.) :

Categorization and Abstract Similarity in Chess.
[Online-Edition: https://mindmodeling.org/cogsci2013/papers/0513/paper0513.pd...]
In: Annual Conference of the Cognitive Science Society 2013, Austin, TX. Austin, TX
[Conference or Workshop Item] , (2013)

S

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

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

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

Savova, V. and Jäkel, F. and Tenenbaum, J. B.
Taatgen, N. and van Rijn, H. (eds.) :

Grammar-based object representations in a scene parsing task.
[Online-Edition: http://csjarchive.cogsci.rpi.edu/proceedings/2009/papers/150...]
In: Proceedings of the 31st Annual Meeting of the Cognitive Science Society, Austin, TX. Cognitive Science Society , Austin, TX
[Conference or Workshop Item] , (2009)

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

W

Wichmann, F. A. and Jäkel, F.
Wixted, J. T. and Wagenmakers, E. J. (eds.) :

Methods in Psychophysics.
[Online-Edition: https://www.wiley.com/en-us/Stevens%27+Handbook+of+Experimen...]
In: Stevens' Handbook of Experimental Psychology and Cognitive Neuroscience. , pp. 265-306.
[Book Section] , (2018)

Z

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

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

Zednik, C. and Jäkel, F.
Bello, P. and Guarini, M. and McShane, M. and Scasselati, B. (eds.) :

How does Bayesian reverse-engineering work?
[Online-Edition: https://mindmodeling.org/cogsci2014/papers/123/paper123.pdf]
In: Proceedings of the 36th Annual Conference of the Cognitive Science Society, Austin, TX. Cognitive Science Society , Austin, TX
[Conference or Workshop Item] , (2014)

This list was generated on Thu May 23 01:53:36 2019 CEST.