Natalie Schieferstein

I am a postdoctoral researcher currently working on the implications of motor primitives for the learning and cortical representation of movements.

In my PhD with Richard Kempter at the Humboldt University and BCCN Berlin I studied the dynamics of hippocampal ripple oscillations in inhibitory network models. With a background in mathematics from my undergraduate and master studies (RUB Bochum, NYU New York) I am generally interested in a systematic understanding of the range of dynamics that biological neural networks can exhibit, depending on network architecture and single neuron properties. To that end I use tools from dynamical systems theory and statistical physics, as well as numerical simulations.