| Self-organization in balanced state networks by STDP and homeostatic plasticity F Effenberger, J Jost, A Levina PLoS computational biology 11 (9), e1004420, 2015 | 62 | 2015 |
| simpcomp: a GAP toolbox for simplicial complexes F Effenberger, J Spreer ACM Communications in Computer Algebra 44 (3/4), 186-189, 2011 | 39* | 2011 |
| Universal features of dendrites through centripetal branch ordering A Vormberg, F Effenberger, J Muellerleile, H Cuntz PLoS computational biology 13 (7), e1005615, 2017 | 34 | 2017 |
| Beans: The benchmark of animal sounds M Hagiwara, B Hoffman, JY Liu, M Cusimano, F Effenberger, K Zacarian ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 26 | 2023 |
| Stacked polytopes and tight triangulations of manifolds F Effenberger Journal of Combinatorial Theory, Series A 118 (6), 1843-1862, 2011 | 25 | 2011 |
| Hamiltonian submanifolds of regular polytopes F Effenberger, W Kühnel Discrete & Computational Geometry 43, 242-262, 2010 | 18 | 2010 |
| A primer on information theory, with applications to neuroscience F Effenberger Computational Medicine in Data Mining and Modeling, 376, 2013 | 17 | 2013 |
| Finding and classifying critical points of 2D vector fields: a cell-oriented approach using group theory F Effenberger, D Weiskopf Computing and Visualization in Science 13, 377-396, 2010 | 13 | 2010 |
| A biology-inspired recurrent oscillator network for computations in high-dimensional state space F Effenberger, P Carvalho, I Dubinin, W Singer bioRxiv, 2022 | 12 | 2022 |
| Modern artificial neural networks: Is evolution cleverer? A Bahmer, D Gupta, F Effenberger Neural Computation 35 (5), 763-806, 2023 | 11 | 2023 |
| Robust discovery of temporal structure in multi-neuron recordings using Hopfield networks C Hillar, F Effenberger Procedia Computer Science 53, 365-374, 2015 | 9 | 2015 |
| The functional role of oscillatory dynamics in neocortical circuits: a computational perspective F Effenberger, P Carvalho, I Dubinin, W Singer Proceedings of the National Academy of Sciences 122 (4), e2412830122, 2025 | 7 | 2025 |
| A novel feature-scrambling approach reveals the capacity of convolutional neural networks to learn spatial relations A Farahat, F Effenberger, M Vinck Neural networks 167, 400-414, 2023 | 7 | 2023 |
| Discovery of salient low-dimensional dynamical structure in neuronal population activity using hopfield networks F Effenberger, C Hillar Similarity-Based Pattern Recognition: Third International Workshop, SIMBAD …, 2015 | 7 | 2015 |
| Simplicial blowups and discrete normal surfaces in simpcomp F Effenberger, J Spreer ACM Communications in Computer Algebra 45 (3/4), 173-176, 2012 | 7 | 2012 |
| Fading memory as inductive bias in residual recurrent networks I Dubinin, F Effenberger Neural networks 173, 106179, 2024 | 6 | 2024 |
| A regularity index for dendrites-local statistics of a neuron's input space L Anton-Sanchez, F Effenberger, C Bielza, P Larrañaga, H Cuntz PLoS Computational Biology 14 (11), e1006593, 2018 | 5 | 2018 |
| SimpComp, a GAP package F Effenberger, J Spreer Version 2 (0), 2009-2014, 2018 | 5 | 2018 |
| Biodenoising: animal vocalization denoising without access to clean data M Miron, S Keen, JY Liu, B Hoffman, M Hagiwara, O Pietquin, ... arXiv preprint arXiv:2410.03427, 2024 | 1 | 2024 |
| Semantically segmented video image compression C Priebe, D Rhea, C Hillar, A Terekhov, F Effenberger US Patent 10,999,582, 2021 | 1 | 2021 |
Jonathan SpreerLecturer in Mathematics, University of SydneyEmail được xác minh tại sydney.edu.au