Nicolai Waniek - Publications
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 ComputingWebsite:
http://www.nst.ei.tum.de/en/team/nicolai-waniek/Year | Citation | Score | |||
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2019 | Waniek N. Transition Scale-Spaces: A Computational Theory for the Discretized Entorhinal Cortex. Neural Computation. 1-65. PMID 31835003 DOI: 10.1162/Neco_A_01255 | 0.335 | |||
2018 | Tayeb Z, Waniek N, Fedjaev J, Ghaboosi N, Rychly L, Widderich C, Richter C, Braun J, Saveriano M, Cheng G, Conradt J. Gumpy: a python toolbox suitable for hybrid brain-computer interfaces. Journal of Neural Engineering. PMID 30215610 DOI: 10.1088/1741-2552/Aae186 | 0.494 | |||
2016 | Mulas M, Waniek N, Conradt J. Hebbian Plasticity Realigns Grid Cell Activity with External Sensory Cues in Continuous Attractor Models. Frontiers in Computational Neuroscience. 10: 13. PMID 26924979 DOI: 10.3389/Fncom.2016.00013 | 0.482 | |||
2014 | Waniek N, Bremer S, Conradt J. 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. DOI: 10.1007/978-3-319-11179-7_13 | 0.457 | |||
2014 | Araújo R, Waniek N, Conradt J. 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. DOI: 10.1007/978-3-319-11179-7_103 | 0.455 | |||
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