Jonas Beck

Jonas Beck
Jonas Beck is interested in probabilistic inference in mechanistic models of neuroscience. More specifically, he applies probabilistic numerical methods and simulation-based inference to fit Hodgkin-Huxley models to observed (experimental) data as part of the PIMMS Network Project of the Cluster of Excellence - Machine Learning for Science.
Mechanistic models allow to make precise and testable predictions about the underlying biophysical mechanisms that influence neural activity.
Beck, J., Deistler, M., Bernaerts, Y., Macke, J. H., & Berens, P

Efficient identification of informative features in simulation-based inference

Feb 24, 2022 | Advances in Neural Information Processing Systems, 35, 19260-19273