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Dr. Nicolai Waniek
Dr. Nicolai Waniek
Department of Mathematical Sciences, NTNU
Verified email at rochus.net - Homepage
Title
Cited by
Cited by
Year
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
472018
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
372016
Cooperative SLAM on small mobile robots
N Waniek, J Biedermann, J Conradt
2015 IEEE International Conference on Robotics and Biomimetics (ROBIO), 1810 …, 2015
302015
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
292020
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
142021
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
102019
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
82022
Device and method for training an image generator
D Adrian, N Waniek
US Patent 12,020,153, 2024
72024
Development of a dynamically extendable spinnaker chip computing module
R Araújo, N Waniek, J Conradt
International Conference on Artificial Neural Networks, 821-828, 2014
72014
Transition scale-spaces: A computational theory for the discretized entorhinal cortex
N Waniek
Neural Computation 32 (2), 330-394, 2020
62020
Hexagonal Grid Fields Optimally Encode Transitions in Spatiotemporal Sequences
N Waniek
Neural Computation, 1-35, 2018
52018
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
42024
Real-time anomaly detection with a growing neural gas
N Waniek, S Bremer, J Conradt
International Conference on Artificial Neural Networks, 97-104, 2014
42014
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
22024
Multi-Transition Systems: A theory for neural spatial navigation
N Waniek
bioRxiv, 174946, 2017
22017
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
12024
Locally distributed spatial navigation in a scale-space model for grid cells
NS Waniek
Technische Universität München, 2018
12018
Biologically Inspired Model for Visually Driven Navigation
NS Waniek
12012
Predictive Spike Timing Enables Distributed Shortest Path Computation in Spiking Neural Networks
S Storesund, KV Aars, R Dietrich, N Waniek
arXiv preprint arXiv:2509.10077, 2025
2025
Threshold Adaptation in Spiking Networks Enables Shortest Path Finding and Place Disambiguation
R Dietrich, T Fischer, N Waniek, N Reeb, M Milford, A Knoll, AD Hines
arXiv preprint arXiv:2503.21795, 2025
2025
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Articles 1–20