Frank Jäkel

Frank Jäkel (Principal Investigator)

Frank's research interests range from visual perception to problem solving. However, most of the time he studies category learning in humans and machines. He also likes psychophysics, statistics, and machine learning.

Before joining the Centre for Cognitive Science at TU Darmstadt, Frank was an assistant professor at the Institute of Cognitive Science at the University of Osnabrück. He was a postdoctoral fellow at MIT working with Josh Tenebaum and he did his doctoral work under the supervision of Felix Wichmann and Bernhard Schölkopf at the MPI for Biological Cybernetics. He studied Cognitive Science, Neural & Behavioural Sciences, and Artificial Intelligence in Osnabrück, Tübingen, and Edinburgh.

Publications

Group by: Date | Item type | No grouping
Jump to: 2018 | 2016 | 2015 | 2014 | 2013 | 2011 | 2009 | 2008 | 2007 | 2006 | 2005 | 2003 | 2001
Number of items: 26.

2018

Hummel, P. A. ; Jäkel, F. ; Lange, S. ; Mertelsmann, R.
Cox, M. ; Funk, P. ; 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)

Wichmann, F. A. ; Jäkel, F.
Wixted, J. T. ; 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)

2016

Zednik, C. ; 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)

Gershman, S. J. ; Tenenbaum, J. ; 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)

Jäkel, F. ; Singh, M. ; Wichmann, F. A. ; 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. ; 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)

2015

Schumacher, J. ; Wunderele, T. ; Fries, P. ; Jäkel, F. ; 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)

2014

Zednik, C. ; Jäkel, F.
Bello, P. ; Guarini, M. ; McShane, M. ; 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)

2013

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

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

Stüttgen, M. C. ; Kasties, N. ; Lengersdorf, D. ; Starosta, S. ; Güntürkün, O. ; 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)

Gershman, S. J. ; Jäkel, F. ; Tenenbaum, J. B.
Knauff, M. ; Pauen, M. ; Sebanz, N. ; 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)

Jäkel, F. ; 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)

León-Villagrá, P. ; Jäkel, F.
Knauff, M. ; Pauen, M. ; Sebanz, N. ; 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)

2011

Stüttgen, M. C. ; Schwarz, C. ; 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)

Fleming, R. ; Jäkel, F. ; 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)

2009

Savova, V. ; Jäkel, F. ; Tenenbaum, J. B.
Taatgen, N. ; 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)

Jäkel, F. ; Schölkopf, B. ; 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)

2008

Jäkel, F. ; Schölkopf, B. ; 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. ; Schölkopf, B. ; 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)

2007

Cooke, T. ; Jäkel, F. ; Wallraven, C. ; 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)

Jäkel, F. ; Schölkopf, B. ; 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)

2006

Görür, D. ; Jäkel, F. ; 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)

Jäkel, F. ; 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)

2005

Kuss, M. ; Jäkel, F. ; 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)

2003

Jäkel, F. ; Ernst, M. O.
I. Oakley, S. O'Modhrain ; 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)

2001

Storck, J. ; Jäkel, F. ; 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)

This list was generated on Wed Nov 14 05:38:49 2018 CET.