Prof. Dr. Jochen Triesch
Frankfurt Institute for Advanced Studies
Max-von-Laue Str. 1
D-60438 Frankfurt am Main
Tel +49 (0)69 798 47531
Fax +49 (0)69 798 47611
E-Mail: triesch@fias.uni-frankfurt.de
Scientific Focus
Computational Neuroscience, Machine Learning, Visual Perception, Developmental Psychology, Developmental Robotics
Methods
Computational Modeling, Information Theory, Psychophysics, Eye Tracking, Virtual Reality
Selected Publications
Rumpel, S., & Triesch, J. (2016). The dynamic connectome. e-Neuroforum, 7(3), 48-53.
Hartmann, C., Lazar, A., Nessler, B., & Triesch, J. (2015). Where’s the noise? key features of spontaneous activity and neural variability arise through learning in a deterministic network. PLoS computational biology, 11(12), e1004640.
Rusu, C. V., Murakami, M., Ziemann, U., & Triesch, J. (2014). A model of TMS-induced I-waves in motor cortex. Brain stimulation, 7(3), 401-414.
Network Self-Organization Explains the Statistics and Dynamics of Synaptic Connection Strengths in Cortex(2013) P. Zheng, C. Dimitrakakis, J. Triesch. PLoS Computational Biology 9(1): e1002848, doi:10.1371/ journal.pcbi.1002848
Infants in Control: Rapid Anticipation of Action Outcomes in a Gaze-Contingent Paradigm (2012) Q. Wang, J. Bolhuis, C. Rothkopf, T. Kolling, M. Knopf, J. Triesch. PLoS One, 7(2): e30884, doi:10.1371/ journal.pone.0030884
SORN: a Self-organizing Recurrent Neural Network (2009) A. Lazar, G. Pipa, and J. Triesch. Frontiers in Computational Neuroscience, 3(23), doi:10.3389/neuro.10.023.2009.
Synergies between Intrinsic and Synaptic Plasticity Mechanisms (2007) J. Triesch. Neural Computation, 19:885-909.
Gaze Following: why (not) learn it? J. Triesch, C. Teuscher, G. Deak, and E. Carlson. Developmental Science, 9(2):125-147, 2006.
What you see is what you need. J. Triesch, D.H. Ballard, M.M. Hayhoe, and B.T. Sullivan. Journal of Vision, 3:86-94, 2003.
Democratic Integration: Self-Organized Integration of Adaptive Cues. J. Triesch and C. v.d. Malsburg. Neural Computation, 13(9):2049-2074, 2001.