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
Ahmed Mohamed Alramly grad student 2024-
Ian R. Fasel grad student 2006 UCSD
Viola Priesemann grad student 2009-2013
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
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Publications

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Pochinok I, Stöber TM, Triesch J, et al. (2024) A developmental increase of inhibition promotes the emergence of hippocampal ripples. Nature Communications. 15: 738
Rothkopf C, Bremmer F, Fiehler K, et al. (2023) Models of vision need some action. The Behavioral and Brain Sciences. 46: e405
Tang Y, Triesch J, Deák GO. (2023) Variability in infant social responsiveness: Age and situational differences in attention-following. Developmental Cognitive Neuroscience. 63: 101283
Schneider M, Bird AD, Gidon A, et al. (2023) Biological complexity facilitates tuning of the neuronal parameter space. Plos Computational Biology. 19: e1011212
Stöber TM, Batulin D, Triesch J, et al. (2023) Degeneracy in epilepsy: multiple routes to hyperexcitable brain circuits and their repair. Communications Biology. 6: 479
Batulin D, Lagzi F, Vezzani A, et al. (2022) A mathematical model of neuroimmune interactions in epileptogenesis for discovering treatment strategies. Iscience. 25: 104343
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
Klos C, Miner D, Triesch J. (2018) Bridging structure and function: A model of sequence learning and prediction in primary visual cortex. Plos Computational Biology. 14: e1006187
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