In a new #ScienceSignaling study, researchers introduce extracellular #TurboID, a refinement of the popular proteomics tool that interrogates #ProteinProteinInteractions on the exterior cell membrane, and characterize interactions between #EGFR and #LDLR. scim.ag/3DgfJr9
https://www.science.org/doi/10.1126/scisignal.adl6164
Niklas Emonds
As a physicist, I seek to gain a mechanistic understanding of the functionality of the human brain and the resulting behavior. Depending on the resolution of the examined data, behavior is to be understood as an emergent phenomenon of the interactions of individual neurons, populations of neurons or whole brain regions. With the help of generative neural networks, I reconstruct empirical neuronal activity and use the resulting models as surrogates for the underlying dynamical system. They can then be used for in silico experiments to simulate the response of the brain to artificial conditions and thus draw conclusions about the physiology.
Besides that, I am interested in the development of deep learning models for the prediction of time series and the reconstruction of dynamical systems in general.
I spend my free time doing sports (running, hip hop, cycling) or let my thoughts run free while hiking. You can reach me at niklas.emonds@iwr.uni-heidelberg.de.
