Publications

(2023). Emergent communication enhances foraging behavior in evolved swarms controlled by spiking neural networks. Swarm Intelligence.

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(2023). Two-compartment neuronal spiking model expressing brain-state specific apical-amplification,-isolation and-drive regimes. arXiv preprint arXiv:2311.06074.

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(2023). Gradient-free optimization of artificial and biological networks using learning to learn. Forschungszentrum Jülich GmbH, Zentralbibliothek, Verlag.

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(2022). Exploring Parameter and Hyper-Parameter Spaces of Neuroscience Models on High Performance Computers With Learning to Learn. Frontiers in Computational Neuroscience.

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(2022). Emergent communication enhances foraging behaviour in evolved swarms controlled by Spiking Neural Networks. arXiv preprint arXiv:2212.08484 (submitted to Swarm Intelligence, Springer Nature).

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(2022). 6th HBP Student Conference on Interdisciplinary Brain Research. 6th HBP Student Conference on Interdisciplinary Brain Research.

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(2020). Ensemble Kalman Filter Optimizing Deep Neural Networks: An Alternative Approach to Non-performing Gradient Descent. International Conference on Machine Learning, Optimization, and Data Science.

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(2019). Generalised learning of time-series: Ornstein-Uhlenbeck processes. arXiv preprint arXiv:1910.09394.

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(2018). 1st HBP Student Conference - Transdisciplinary Research Linking Neuroscience, Brain Medicine and Computer Science. 1st HBP Student Conference - Transdisciplinary Research Linking Neuroscience, Brain Medicine and Computer Science.

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(2017). A Collaborative Simulation-Analysis Workflow for Computational Neuroscience Using HPC. Lecture Notes in Computer Science.

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(2016). Exploring the Usefulness of Formal Concept Analysis for Robust Detection of Spatio-temporal Spike Patterns in Massively Parallel Spike Trains. Graph-Based Representation and Reasoning.

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(2015). An example journal article. Journal of Source Themes, 1(1).

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(2015). Elephant--open-source tool for the analysis of electrophysiological data sets. G-Node.

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