About

My name is Daniel Müller-Komorowska and I am a neuroscientist. I have a PhD in Neuroscience from the University of Bonn and I am working as a postdoc at the Okinawa Institute of Science and Technology in the Neural Coding and Brain Computing Unit. My current research is primarily about sequence generation and replay in spiking neuronal networks. I started out recording and analyzing electrical signals from hippocampal neurons. I used Python with NumPy, SciPy and Pandas to analyze these neuronal time-series data. I used Matplotlib and Seaborn for data visualization. I also used dimensionality reduction and clustering with scikit-learn, scanpy and R on single cell sequencing data. Finally, I have simulated spiking neuronal networks with NEURON and artifical neural networks with PyTorch.

On this website I run my Scientific Programming blog, where I write about programming, data science & neuroscience. I am also interested in decarbonizing energy systems and climate change. I have briefly worked as a contractor on the solutions from Project Drawdown.

Publications

Müller-Komorowska, D., Opitz, T., Elzoheiry, S., Schweizer, M., Ambrad Giovannetti, E., & Beck, H. (2020). Nonspecific Expression in Limited Excitatory Cell Populations in Interneuron-Targeting Cre-driver Lines Can Have Large Functional Effects. Frontiers in Neural Circuits, 14(April), 1–13. https://doi.org/10.3389/fncir.2020.00016

Braganza, O., Müller-Komorowska, D., Kelly, T., & Beck, H. (2020). Quantitative properties of a feedback circuit predict frequency-dependent pattern separation. ELife, 813188. https://doi.org/10.7554/eLife.53148

Schmidt, S., Pothmann, L., Müller-Komorowska, D., Opitz, T., da Silva, P. S., Beck, H. (2021). Complex effects of eslicarbazepine on inhibitory micronetworks in chronic experimental epilepsy. Epilepsia. https://doi.org/10.1111/epi.16808

Müller-Komorowska, D., Parabucki, A., Elyasaf, G., Katz, Y., Beck, H., & Lampl, I. (2021). A novel theoretical framework for simultaneous measurement of excitatory and inhibitory conductances. 17(12), e1009725. https://doi.org/10.1371/journal.pcbi.1009725