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Nicolai Waniek

Affiliations: 
Neuroscientific System Theory Technische Universität München (TUM), München, Bayern, Germany 
Area:
Nonlinear Dynamics and Chaos in Computational Neuroscience, Recurrent Neural Networks, Self-Organization and Procedural Generation, Distributed and Massively Parallel Computing
Website:
http://www.nst.ei.tum.de/en/team/nicolai-waniek/
Google:
"Nicolai Waniek"
Bio:

- as of November 2012 PhD Student at NST-TUM
- October 2012 Diploma in Computer Science, University of Ulm.

Mean distance: 16.46 (cluster 29)
 		SNBCP
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Parents

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Heiko Neumann research assistant Ulm University
Jorg Conradt grad student Technische Universität München

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Publications

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Waniek N. (2019) Transition Scale-Spaces: A Computational Theory for the Discretized Entorhinal Cortex. Neural Computation. 1-65
Tayeb Z, Waniek N, Fedjaev J, et al. (2018) Gumpy: a python toolbox suitable for hybrid brain-computer interfaces. Journal of Neural Engineering
Mulas M, Waniek N, Conradt J. (2016) Hebbian Plasticity Realigns Grid Cell Activity with External Sensory Cues in Continuous Attractor Models. Frontiers in Computational Neuroscience. 10: 13
Waniek N, Bremer S, Conradt J. (2014) Real-time anomaly detection with a growing neural gas Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8681: 97-104
Araújo R, Waniek N, Conradt J. (2014) Development of a dynamically extendable spinnaker chip computing module Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8681: 821-828
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