| Marginally subcritical dynamics explain enhanced stimulus discriminability under attention N Tomen, D Rotermund, U Ernst Frontiers in systems neuroscience 8, 151, 2014 | 63 | 2014 |
| Resolution learning in deep convolutional networks using scale-space theory SL Pintea, N Tömen, SF Goes, M Loog, JC van Gemert IEEE Transactions on Image Processing 30, 8342-8353, 2021 | 37 | 2021 |
| The functional role of critical dynamics in neural systems N Tomen, JM Herrmann, U Ernst Springer, 2019 | 29 | 2019 |
| Vipriors 3: Visual inductive priors for data-efficient deep learning challenges RJ Bruintjes, A Lengyel, MB Rios, OS Kayhan, D Zambrano, N Tomen, ... arXiv preprint arXiv:2305.19688, 2023 | 17 | 2023 |
| Spectral leakage and rethinking the kernel size in cnns N Tomen, JC van Gemert Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 17 | 2021 |
| Deep continuous networks N Tomen, SL Pintea, J Van Gemert International Conference on Machine Learning, 10324-10335, 2021 | 11 | 2021 |
| Vipriors 2: visual inductive priors for data-efficient deep learning challenges A Lengyel, RJ Bruintjes, MB Rios, OS Kayhan, D Zambrano, N Tomen, ... arXiv preprint arXiv:2201.08625, 2022 | 9 | 2022 |
| Heart rate estimation in intense exercise videos Y Napolean, A Marwade, N Tomen, P Alkemade, T Eijsvogels, ... 2022 IEEE International Conference on Image Processing (ICIP), 3933-3937, 2022 | 7 | 2022 |
| Frequency learning for structured CNN filters with Gaussian fractional derivatives N Saldanha, SL Pintea, JC van Gemert, N Tomen arXiv preprint arXiv:2111.06660, 2021 | 7 | 2021 |
| The role of criticality in flexible visual information processing N Tomen, U Ernst The functional role of critical dynamics in neural systems, 233-264, 2019 | 7 | 2019 |
| Top-Down Networks: A coarse-to-fine reimagination of CNNs I Lelekas, N Tomen, SL Pintea, JC van Gemert Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 5 | 2020 |
| 26th annual computational neuroscience meeting (CNS* 2017): part 2 LL Rubchinsky, S Ahn, W Klijn, B Cumming, S Yates, V Karakasis, ... BMC neuroscience 18, 1-79, 2017 | 2 | 2017 |
| Marginally subcritical dynamics explain enhanced stimulus discriminability under attention N Tomen, D Rotermund, U Ernst Front. Syst. Neurosci 8, 2015 | 1 | 2015 |
| Phase transitions in cortical dynamics explain improved information processing under attention N Tomen, U Ernst BMC Neuroscience 14 (Suppl 1), P126, 2013 | 1 | 2013 |
| Feature space quantization for data-driven search N Tomen, M Takemiya, T Matsuo, I Hasegawa, Y Kamitani 2012 Second International Workshop on Pattern Recognition in NeuroImaging, 41-44, 2012 | 1 | 2012 |
| Benchmarking of hardware-efficient real-time neural decoding in brain–computer interfaces P Hueber, G Tang, M Sifalakis, HP Liaw, A Micheli, N Tomen, YH Liu Neuromorphic Computing and Engineering 4 (2), 024008, 2024 | | 2024 |
| Copy-Pasting Coherent Depth Regions Improves Contrastive Learning for Urban-Scene Segmentation L Zeng, A Lengyel, N Tömen, J van Gemert arXiv preprint arXiv:2211.14074, 2022 | | 2022 |
| Analysis of object tracking algorithms performance on event-based datasets A Olaru, N Tomen, O Strafforello, X Liu | | 2022 |
| Functional Role of Critical Dynamics in Flexible Visual Information Processing N Tömen Universität Bremen, 2019 | | 2019 |
| Improved information processing under attention is explained by phase transitions in cortical dynamics N Tomen, U Ernst Bernstein Conference 2013, 2013 | | 2013 |
