| Gumpy: a python toolbox suitable for hybrid brain-computer interfaces Z Tayeb, N Waniek, J Fedjaev, N Ghaboosi, L Rychly, C Widderich, ... Journal of neural engineering, 2018 | 43 | 2018 |
| Hebbian plasticity realigns grid cell activity with external sensory cues in continuous attractor models M Mulas, N Waniek, J Conradt Frontiers in computational neuroscience 10, 13, 2016 | 28 | 2016 |
| Cooperative SLAM on small mobile robots N Waniek, J Biedermann, J Conradt 2015 IEEE International Conference on Robotics and Biomimetics (ROBIO), 1810 …, 2015 | 27 | 2015 |
| Learning and sequencing of object-centric manipulation skills for industrial tasks L Rozo, M Guo, AG Kupcsik, M Todescato, P Schillinger, M Giftthaler, ... 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 22 | 2020 |
| Supervised Training of Dense Object Nets using Optimal Descriptors for Industrial Robotic Applications AG Kupcsik, M Spies, A Klein, M Todescato, N Waniek, P Schillinger, ... Proceedings of the AAAI Conference on Artificial Intelligence 35 (7), 6093-6100, 2021 | 12 | 2021 |
| Bounded Suboptimal Search with Learned Heuristics for Multi-Agent Systems M Spies, M Todescato, H Becker, P Kesper, N Waniek, M Guo Proceedings of the AAAI Conference on Artificial Intelligence 33, 2387-2394, 2019 | 9 | 2019 |
| Development of a dynamically extendable spinnaker chip computing module R Araújo, N Waniek, J Conradt Artificial Neural Networks and Machine Learning–ICANN 2014: 24th …, 2014 | 6 | 2014 |
| Device and method for training an image generator D Adrian, N Waniek US Patent 12,020,153, 2024 | 4 | 2024 |
| Transition scale-spaces: A computational theory for the discretized entorhinal cortex N Waniek Neural Computation 32 (2), 330-394, 2020 | 4 | 2020 |
| Hexagonal Grid Fields Optimally Encode Transitions in Spatiotemporal Sequences N Waniek Neural Computation, 1-35, 2018 | 4 | 2018 |
| Real-time anomaly detection with a growing neural gas N Waniek, S Bremer, J Conradt Artificial Neural Networks and Machine Learning–ICANN 2014: 24th …, 2014 | 3 | 2014 |
| Method and system for robot manipulation planning AG Kupcsik, L Rozo, M Todescato, M Spies, M Giftthaler, M Buerger, ... US Patent 11,498,212, 2022 | 2 | 2022 |
| Locally distributed spatial navigation in a scale-space model for grid cells NS Waniek Technische Universität München, 2018 | 1 | 2018 |
| Multi-Transition Systems: A theory for neural spatial navigation N Waniek bioRxiv, 174946, 2017 | 1 | 2017 |
| Apparatus and method for training a machine learning model to recognize an object topology of an object from an image of the object AG Kupcsik, M Todescato, M Spies, N Waniek, PC Schillinger, M Buerger US Patent 11,986,960, 2024 | | 2024 |
| Device and method for controlling a robot to pick up an object in various positions AG Kupcsik, M Todescato, M Spies, N Waniek, PC Schillinger, M Buerger US Patent 11,964,400, 2024 | | 2024 |
| Grid codes vs. multi-scale, multi-field place codes for space R Dietrich, N Waniek, M Stemmler, A Knoll Frontiers in Computational Neuroscience 18, 1276292, 2024 | | 2024 |
| Method and Device for Calibrating and Operating a Sensor Component with the Aid of Machine Learning Methods N Waniek, FM Stuerner, R Cipolletti US Patent App. 18/006,398, 2023 | | 2023 |
| Grid Codes versus Multi-Scale, Multi-Field Place Codes for Space R Dietrich, N Waniek, M Stemmler, AC Knoll bioRxiv, 2023.06. 18.545252, 2023 | | 2023 |
| An introduction to the Transition Scale-Space model for grid cells N Waniek https://rochus.net/pdf/waniek2023tssintro.pdf, 2023 | | 2023 |
Jorg ConradtEECS, KTH Stockholm, Sweden在 kth.se 的电子邮件经过验证
