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Dr. Nicolai Waniek
Dr. Nicolai Waniek
Department of Mathematical Sciences, NTNU
Verifierad e-postadress på rochus.net - Startsida
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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
432018
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
302016
Cooperative SLAM on small mobile robots
N Waniek, J Biedermann, J Conradt
2015 IEEE International Conference on Robotics and Biomimetics (ROBIO), 1810 …, 2015
262015
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
242020
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
122021
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
92019
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
72014
Device and method for training an image generator
D Adrian, N Waniek
US Patent 12,020,153, 2024
52024
Transition scale-spaces: A computational theory for the discretized entorhinal cortex
N Waniek
Neural Computation 32 (2), 330-394, 2020
52020
Hexagonal Grid Fields Optimally Encode Transitions in Spatiotemporal Sequences
N Waniek
Neural Computation, 1-35, 2018
52018
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
42014
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
32022
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
22024
Multi-Transition Systems: A theory for neural spatial navigation
N Waniek
bioRxiv, 174946, 2017
22017
Locally distributed spatial navigation in a scale-space model for grid cells
NS Waniek
Technische Universität München, 2018
12018
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
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Artiklar 1–20