Jochen Triesch
Affiliations: | Frankfurt Institute for Advanced Studies, Fijaš, Slovakia |
Area:
Neural ComputationWebsite:
http://fias.uni-frankfurt.de/~triesch/Google:
"Jochen Triesch"Mean distance: 13.81 (cluster 29) | S | N | B | C | P |
Cross-listing: Computational Biology Tree
Parents
Sign in to add mentorChildren
Sign in to add trainee| Omid Aladini | research assistant | 2008- | FIAS |
| Felipe Gerhard | research assistant | 2007-2009 | FIAS |
| Hazem Toutounji | research assistant | 2008-2010 | FIAS |
| Arthur Franz | grad student | FIAS | |
| Daniela Pamplona | grad student | FIAS | |
| Sohrab Saeb | grad student | FIAS | |
| Quan Wang | grad student | FIAS | |
| Thomas Weisswange | grad student | FIAS | |
| Andreea Lazar | grad student | 2006- | FIAS |
| Cristina Savin | grad student | 2006- | FIAS |
| Ian R. Fasel | grad student | 2006 | UCSD |
| Constantin A. Rothkopf | post-doc | FIAS | |
| Prashant Joshi | post-doc | 2008- | FIAS |
| Kai Willadsen | post-doc | 2009 | FIAS |
| Cornelius Weber | research scientist | FIAS |
Collaborators
Sign in to add collaborator| Gedeon O. Deák | collaborator | ||
| Gordon Pipa | collaborator | Max-Planck for Brain Research |
BETA: Related publications
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Publications
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| Eckmann S, Klimmasch L, Shi BE, et al. (2020) Active efficient coding explains the development of binocular vision and its failure in amblyopia. Proceedings of the National Academy of Sciences of the United States of America |
| Lelais A, Mahn J, Narayan V, et al. (2019) Autonomous Development of Active Binocular and Motion Vision Through Active Efficient Coding. Frontiers in Neurorobotics. 13: 49 |
| Wijesinghe LP, Triesch J, Shi BE. (2018) Robot End Effector Tracking Using Predictive Multisensory Integration. Frontiers in Neurorobotics. 12: 66 |
| Zhu Q, Triesch J, Shi BE. (2017) Joint Learning of Binocularly Driven Saccades and Vergence by Active Efficient Coding. Frontiers in Neurorobotics. 11: 58 |
| Wang Q, Rothkopf CA, Triesch J. (2017) A model of human motor sequence learning explains facilitation and interference effects based on spike-timing dependent plasticity. Plos Computational Biology. 13: e1005632 |
| Zhang C, Triesch J, Shi BE. (2016) An active-efficient-coding model of optokinetic nystagmus. Journal of Vision. 16: 10 |
| Hartmann C, Miner DC, Triesch J. (2015) Precise Synaptic Efficacy Alignment Suggests Potentiation Dominated Learning. Frontiers in Neural Circuits. 9: 90 |
| Hartmann C, Lazar A, Nessler B, et al. (2015) Where's the Noise? Key Features of Spontaneous Activity and Neural Variability Arise through Learning in a Deterministic Network. Plos Computational Biology. 11: e1004640 |
| Triesch J, Zrenner C, Ziemann U. (2015) Modeling TMS-induced I-waves in human motor cortex. Progress in Brain Research. 222: 105-24 |
| Caligiore D, Mustile M, Cipriani D, et al. (2015) Intrinsic motivations drive learning of eye movements: an experiment with human adults. Plos One. 10: e0118705 |