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Loreen studied physics at the University of Leipzig and obtained her diploma degree in 2010. Until 2015, she worked at the Central Institute for Mental Health in Mannheim and completed her PhD in computational neuroscience at the BCCN Heidelberg-Mannheim in February 2014. Her research topics included ‘high-throughput’ fitting of electrophysiological data, mathematical description of single neuron and recurrent network activity as well as computational psychiatry.
Loreen joined the lab August 2015. Her current research is on the functional and computational role of different types of interneurons in neural networks.
Functional Role of Different Types of Interneurons in Cortical Microcircuits
In the last decades, inhibitory neurons have been identified as one of the core elements in shaping the activity of excitatory cells, modulating and expanding the spectrum of dynamical phenomena of neural circuits. In more recent years, the combination of technologically advanced recording methods and the development of transgenic mice lines have boosted the amount of experimental data on various types of GABAergic interneurons. However, the individual role of these interneurons are still mostly unresolved. A promising approach to gain insights and investigate the functional role of inhibitory neurons are computational models. We perform mathematical analyses and extensive simulations of a microcircuit comprising 4 different celltypes: excitatory pyramidal cells and inhibitory parvalbumin- , somatostatin- and vasoactive intestinal peptide-expressing interneurons. Our network model makes a number of predictions that can be tested in experiments, and hence may help revealing the functional role of interneurons within microcircuits.