![© Jonas Beck, Hertie AI Jonas Beck](/fileadmin/_processed_/9/9/csm_Jonas_Beck_966727dd0e.jpg)
Mechanistic models allow to make precise and testable predictions about the underlying biophysical mechanisms that influence neural activity.
Jonas Beck
![© Jonas Beck, Hertie AI Jonas Beck](/fileadmin/_processed_/9/9/csm_Jonas_Beck_28b4eb2210.jpg)
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.