Nicolai Waniek

According to our database, Nicolai Waniek authored at least 10 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Grid codes vs. multi-scale, multi-field place codes for space.

Robin Dietrich, Nicolai Waniek, Martin Stemmler, Alois Knoll

Frontiers Comput. Neurosci., 2024

2021

Supervised Training of Dense Object Nets using Optimal Descriptors for Industrial Robotic Applications.

Andras Gabor Kupcsik, Markus Spies, Alexander Klein, Marco Todescato, Nicolai Waniek, Philipp Schillinger, Mathias Bürger

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Transition Scale-Spaces: A Computational Theory for the Discretized Entorhinal Cortex.

Nicolai Waniek

Neural Comput., 2020

Learning and Sequencing of Object-Centric Manipulation Skills for Industrial Tasks.

Leonel Dario Rozo, Meng Guo, Andras G. Kupcsik, Marco Todescato, Philipp Schillinger, Markus Giftthaler, Matthias Ochs, Markus Spies, Nicolai Waniek, Patrick Kesper, Mathias Bürger

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2019

Bounded Suboptimal Search with Learned Heuristics for Multi-Agent Systems.

Markus Spies, Marco Todescato, Hannes Becker, Patrick Kesper, Nicolai Waniek, Meng Guo

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Hexagonal Grid Fields Optimally Encode Transitions in Spatiotemporal Sequences.

Nicolai Waniek

Neural Comput., 2018

2016

Hebbian Plasticity Realigns Grid Cell Activity with External Sensory Cues in Continuous Attractor Models.

Marcello Mulas, Nicolai Waniek, Jörg Conradt

Frontiers Comput. Neurosci., 2016

2015

Cooperative SLAM on small mobile robots.

Nicolai Waniek, Johannes Biedermann, Jörg Conradt

Proceedings of the 2015 IEEE International Conference on Robotics and Biomimetics, 2015

2014

Real-Time Anomaly Detection with a Growing Neural Gas.

Nicolai Waniek, Simon Bremer, Jörg Conradt

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014

Development of a Dynamically Extendable SpiNNaker Chip Computing Module.

Rui Araújo, Nicolai Waniek, Jörg Conradt

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014