Joram Keijser
I am a final-year PhD student in computational neuroscience supervised by Prof. Henning Sprekeler, funded by TU Berlin and ECN Berlin. My PhD work focuses on the functions and evolution of cell types, in particular inhibitory interneurons. In this work, I use deep network models to find interneuron properties that can emerge from functional pressures, and I test these models by analyzing neural and genomic data.
Besides doing research, I co-organized the WWNeuRise seminar for early career researchers and a conference workshop. I also teach at BCCN Berlin’s Master’s Program in Computational Neuroscience. In the summer of 2023, I worked as a biostatistics intern at Novartis. Outside of the lab, I’m a voracious reader and a less-than-voracious runner.
Publications & Preprints
- Transcriptomic correlates of state modulation in GABAergic interneurons: A cross-species analysis
Keijser, Hertäg & Sprekeler, bioRxiv 2023 - Cortical interneurons: fit for function and fit to function? Evidence from development and evolution
Keijser & Sprekeler, Frontiers in Neural Circuits 2023
[bioRxiv] [Twitter] [Poster] - Inhibitory top-down projections from zona incerta mediate neocortical memory
Schroeder, Pardi, Keijser, Dalmay, Schuman, Sprekeler & Letzkus, Neuron 2023
[bioRxiv] [Twitter] [Preview] - Invariant neural subspaces maintained by feedback modulation
Naumann, Keijser & Sprekeler, eLife 2022
[bioRxiv] [Twitter] [Cosyne talk] - Optimizing interneuron circuits for compartment-specific feedback inhibition
Keijser & Sprekeler, PLOS Computational Biology 2022
[bioRxiv] [Twitter] [WWNeuro talk]