| Plasticity-driven self-organization under topological constraints accounts for non-random features of cortical synaptic wiring D Miner, J Triesch PLoS computational biology 12 (2), e1004759, 2016 | 62 | 2016 |
| Search for Quark Compositeness with the Dijet Centrality Ratio in Collisions at V Khachatryan, AM Sirunyan, A Tumasyan, W Adam, T Bergauer, ... Physical review letters 105 (26), 262001, 2010 | 57 | 2010 |
| Bridging structure and function: A model of sequence learning and prediction in primary visual cortex C Klos, D Miner, J Triesch PLOS Computational Biology 14 (6), e1006187, 2018 | 25 | 2018 |
| Precise synaptic efficacy alignment suggests potentiation dominated learning C Hartmann, DC Miner, J Triesch Frontiers in neural circuits 9, 90, 2016 | 8 | 2016 |
| Slicing, sampling, and distance-dependent effects affect network measures in simulated cortical circuit structures DC Miner, J Triesch Frontiers in neuroanatomy 8, 125, 2014 | 5 | 2014 |
| Self-organization of complex cortex-like wiring in a spiking neural network model D Miner, J Triesch BMC Neuroscience 16 (Suppl 1), P265, 2015 | 4 | 2015 |
| Self-Organized Structuring of Recurrent Neuronal Networks for Reliable Information Transmission D Miner, F Wörgötter, C Tetzlaff, M Fauth Biology 10 (7), 577, 2021 | 2 | 2021 |
| Hey, look over there: Distraction effects on rapid sequence recall D Miner, C Tetzlaff Plos one 15 (4), e0223743, 2020 | 2 | 2020 |
| Structural Plasticity and the Generation of Bidirectional Connectivity D Miner, FZ Hoffmann, F Kleberg, J Triesch The Rewiring Brain, 247-260, 2017 | | 2017 |
| Study of quark substructure using proton-proton collisions D Miner University of Rochester, 2011 | | 2011 |
Jochen TrieschFrankfurt Institute for Advanced StudiesVerified email at fias.uni-frankfurt.de
