In research, collecting data can be difficult, but fitting the data into a model that explains the observations is a challenge on another level. In neuroscience, many experiments measure the activity of neurons. However, to understand what exactly happens in a neuronal network, the data needs to be explained by a model. So, which model fits which data? A novel method developed by Pedro J. Gonçalves, Jan-Matthis Lueckmann, Michael Deistler, Jakob Macke and colleagues automates this process.
Tatjana Tchumatchenko has been awarded an ERC Starting Grant to investigate neural circuit function to gain new insights into neurological diseases like Huntington’s Disease. Tchumatchenko is Research Group Leader at the Max Planck Institute for Brain Research and a committed member of the Bernstein Network’s steering committee.