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Jochen Triesch

Showing results (41-50 of 87) with videos related to

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Plos Computational Biology|December 30, 2015
Where's the Noise? Key Features of Spontaneous Activity and Neural Variability Arise through Learning in a Deterministic NetworkChristoph Hartmann, Andreea Lazar, Bernhard Nessler, et al.
Elife|September 18, 2018
Competition for synaptic building blocks shapes synaptic plasticityJochen Triesch, Anh Duong Vo, Anne-Sophie Hafner
Brain Stimulation|October 1, 2018
EEG-triggered TMS reveals stronger brain state-dependent modulation of motor evoked potentials at weaker stimulation intensitiesNatalie Schaworonkow, Jochen Triesch, Ulf Ziemann, et al.
IEEE International Conference on Development and Learning. IEEE International Conference on Development and Learning|May 11, 2026
Simulated Cortical Magnification Supports Self-Supervised Object LearningZhengyang Yu, Arthur Aubret, Chen Yu, et al.
Perception|May 23, 2002
Fast temporal dynamics of visual cue integrationJochen Triesch, Dana H Ballard, Robert A Jacobs
Journal of Vision|December 23, 2016
OpenEyeSim: A biomechanical model for simulation of closed-loop visual perceptionAlexander Priamikov, Maria Fronius, Bertram Shi, et al.
Brain Stimulation|April 1, 2014
A model of TMS-induced I-waves in motor cortexCătălin V Rusu, Max Murakami, Ulf Ziemann, et al.
Proceedings of the National Academy of Sciences of the United States of America|March 4, 2020
Active efficient coding explains the development of binocular vision and its failure in amblyopiaSamuel Eckmann, Lukas Klimmasch, Bertram E Shi, et al.
Developmental Science|February 14, 2006
Gaze following: why (not) learn it?Jochen Triesch, Christof Teuscher, Gedeon O Deák, et al.
F1000Research|June 6, 2017
A multi-scale computational model of the effects of TMS on motor cortexHyeon Seo, Natalie Schaworonkow, Sung Chan Jun, et al.
Pageof 9

Showing results (41-50 of 87) with videos related to

Sort By:
Pageof 9
Plos Computational Biology|December 30, 2015
Where's the Noise? Key Features of Spontaneous Activity and Neural Variability Arise through Learning in a Deterministic NetworkChristoph Hartmann, Andreea Lazar, Bernhard Nessler, et al.
Elife|September 18, 2018
Competition for synaptic building blocks shapes synaptic plasticityJochen Triesch, Anh Duong Vo, Anne-Sophie Hafner
Brain Stimulation|October 1, 2018
EEG-triggered TMS reveals stronger brain state-dependent modulation of motor evoked potentials at weaker stimulation intensitiesNatalie Schaworonkow, Jochen Triesch, Ulf Ziemann, et al.
IEEE International Conference on Development and Learning. IEEE International Conference on Development and Learning|May 11, 2026
Simulated Cortical Magnification Supports Self-Supervised Object LearningZhengyang Yu, Arthur Aubret, Chen Yu, et al.
Perception|May 23, 2002
Fast temporal dynamics of visual cue integrationJochen Triesch, Dana H Ballard, Robert A Jacobs
Journal of Vision|December 23, 2016
OpenEyeSim: A biomechanical model for simulation of closed-loop visual perceptionAlexander Priamikov, Maria Fronius, Bertram Shi, et al.
Brain Stimulation|April 1, 2014
A model of TMS-induced I-waves in motor cortexCătălin V Rusu, Max Murakami, Ulf Ziemann, et al.
Proceedings of the National Academy of Sciences of the United States of America|March 4, 2020
Active efficient coding explains the development of binocular vision and its failure in amblyopiaSamuel Eckmann, Lukas Klimmasch, Bertram E Shi, et al.
Developmental Science|February 14, 2006
Gaze following: why (not) learn it?Jochen Triesch, Christof Teuscher, Gedeon O Deák, et al.
F1000Research|June 6, 2017
A multi-scale computational model of the effects of TMS on motor cortexHyeon Seo, Natalie Schaworonkow, Sung Chan Jun, et al.
Pageof 9