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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 HafnerBrain 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 JacobsJournal 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 22