Picture: Katrin Binner

Prof. Dr. Frank Jäkel

Models of Higher Cognition

Working area(s)

Working group

Contact

work +49 6151 16-23964
fax +49 6151 16-23905

Work S1|15 210
Alexanderstr. 10
64283 Darmstadt

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.

Tuesday 2pm – 3pm

Please make an appointment with Ute Leischer.

Publications

Jump to: 2020 | 2019 | 2018 | 2016 | 2015 | 2014 | 2013 | 2011 | 2009 | 2008 | 2007 | 2006 | 2005 | 2003 | 2001
Number of items: 31.

2020

Stoilova, V. V. ; Knauer, B. ; Berg, S. ; Rieber, E. ; Jäkel, F. ; Stüttgen, M. C. (2020):
Auditory cortex reflects goal-directed movement but is not necessary for behavioral adaptation in sound-cued reward tracking.
In: Journal of Neurophysiology, American Physiological Society, ISSN 0022-3077,
DOI: 10.1152/jn.00736.2019,
[Article]

2019

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

Jäkel, F. ; Wichmann, F. A. (2019):
Spatial four-alternative forced-choice method is the preferred psychophysical method for naive observers.
In: Journal of Vision, (6), pp. 1307-1322. [Article]

2018

Hummel, P. A. ; Jäkel, F. ; Lange, S. ; Mertelsmann, R.
Cox, M. ; Funk, P. ; Begum, S. (eds.) (2018):
A Textual Recommender System for Clinical Data.
In: Lecture Notes in Computer Science, pp. 140-152, Sitockholm (Sweden), International Conference on Case-Based Reasoning 2018, [Conference or Workshop Item]

Jäkel, F. ; Worm, Oliver ; Lange, Sascha ; Mertelsmann, Roland (2018):
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,
DOI: 10.1371/journal.pone.0204393,
[Article]

Wichmann, F. A. ; Jäkel, F. (2018):
Methods in Psychophysics.
In: Stevens' Handbook of Experimental Psychology and Cognitive Neuroscience / ed. by J.T. Wixted ; E.J. Wagenmakers, pp. 265-306, [Book Section]

Depeweg, S. ; Rothkopf, C. A. ; Jäkel, F. (2018):
Solving Bongard Problems with a visual language and pragmatic reasoning.
In: arXiv, [Report]

2016

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

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

Zednik, C. ; 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,
[Article]

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

2015

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

2014

Zednik, C. ; Jäkel, F. (2014):
How does Bayesian reverse-engineering work?
pp. 666-671, Austin, TX, Cognitive Science Society, Proceedings of the 36th Annual Conference of the Cognitive Science Society / ed. by P. Bello ; M. Guarini ; M. McShane ; B. Scasselati, Austin, TX, [Conference or Workshop Item]

2013

León-Villagrá, P. ; Jäkel, F.
Knauff, M. ; Pauen, M. ; Sebanz, N. ; Wachsmuth, I. (eds.) (2013):
Categorization and Abstract Similarity in Chess.
Austin, TX, Annual Conference of the Cognitive Science Society 2013, Austin, TX, [Conference or Workshop Item]

Jäkel, F. ; Schreiber, C. (2013):
Introspection in Problem Solving.
In: Journal of Problem Solving, 6 (1), pp. 20-33. DOI: 10.7771/1932-6246.1131,
[Article]

Gershman, S. J. ; Jäkel, F. ; Tenenbaum, J. B. (2013):
Bayesian Vector Analysis and the Perception of Hierarchical Motion.
Austin, TX, Cognitive Science Society, Proceedings of the 35th Annual Conference of the Cognitive Science Society / ed. by M. Knauff ; M. Plauen ; N. Sebanz ; I. Wachsmuth, Austin, TX, [Conference or Workshop Item]

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

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

2011

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

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

2009

Savova, V. ; Jäkel, F. ; Tenenbaum, J. B. (2009):
Grammar-based object representations in a scene parsing task.
pp. 857-862, Austin, TX, Cognitive Science Society, Proceedings of the 31st Annual Meeting of the Cognitive Science Society / ed. by N. Taatge ; H. van Rijnn, Austin, TX, [Conference or Workshop Item]

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

2008

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

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

2007

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

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

2006

Görür, D. ; Jäkel, F. ; Rasmussen, C. E. (2006):
A Choice Model with Infinitely Many Latent Features.
pp. 8-15, Pittsburgh, PA, Proceedings of the 23rd International Conference on Machine Learning, Pittsburgh, PA, [Conference or Workshop Item]

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

2005

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

2003

Jäkel, F. ; Ernst, M. O.
Oakley, I. ; O'Modhrain, S. ; Newell, F. (eds.) (2003):
Learning to Combine Arbitrary Signals from Vision and Touch.
pp. 276-290, Trinity College Dublin and Media Lab Europe, Eurohaptics 2003 Conference Proceedings, [Conference or Workshop Item]

2001

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

This list was generated on Mon Oct 18 05:22:38 2021 CEST.