Jochen Triesch

Affiliations: 
Frankfurt Institute for Advanced Studies, Fijaš, Slovakia 
Area:
Neural Computation
Website:
http://fias.uni-frankfurt.de/~triesch/
Google:
"Jochen Triesch"
Mean distance: 13.81 (cluster 29)
 
SNBCP
Cross-listing: Computational Biology Tree

Children

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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
Tristan Manfred Stöber post-doc
Prashant Joshi post-doc 2008- FIAS
Kai Willadsen post-doc 2009 FIAS
Cornelius Weber research scientist FIAS
BETA: Related publications

Publications

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Vieth M, Stöber TM, Triesch J. (2021) PymoNNto: A Flexible Modular Toolbox for Designing Brain-Inspired Neural Networks. Frontiers in Neuroinformatics. 15: 715131
Groden M, Weigand M, Triesch J, et al. (2019) A Model of Brain Folding Based on Strong Local and Weak Long-Range Connectivity Requirements. Cerebral Cortex (New York, N.Y. : 1991)
Wijesinghe LP, Triesch J, Shi BE. (2018) Robot End Effector Tracking Using Predictive Multisensory Integration. Frontiers in Neurorobotics. 12: 66
Rosenow F, van Alphen N, Becker A, et al. (2017) Personalized translational epilepsy research - Novel approaches and future perspectives: Part I: Clinical and network analysis approaches. Epilepsy & Behavior : E&B
Bauer S, van Alphen N, Becker A, et al. (2017) Personalized translational epilepsy research - Novel approaches and future perspectives: Part II: Experimental and translational approaches. Epilepsy & Behavior : E&B
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
Priamikov A, Fronius M, Shi B, et al. (2016) OpenEyeSim: A biomechanical model for simulation of closed-loop visual perception. Journal of Vision. 16: 25
Zhang C, Triesch J, Shi BE. (2016) An active-efficient-coding model of optokinetic nystagmus. Journal of Vision. 16: 10
Sharpee TO, Destexhe A, Kawato M, et al. (2016) 25th Annual Computational Neuroscience Meeting: CNS-2016 Bmc Neuroscience. 17: 54
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
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