The aim of the project is the analysis of the nonlinear response properties of spiking model neurons and their consequences for the neural activity and signal transmission in recurrent neural networks. Theoretical insights achieved by analytical calculations and numerical simulations will also be applied to the analysis and interpretation of experimental data.
The successful candidate should have a strong interest in the analysis of the dynamics of single neurons and neural networks. A background in theoretical physics, nonlinear dynamics and/or the theory of stochastic processes is advantageous although not obligatory. The position will also entail the collaboration with colleagues from experimental neuroscience as well as the co-supervision of PhD and Master students.
Applications, including a letter of motivation, a CV, and a list of three potential referees should be sent by email to benjamin.lindner@physik.hu-
(cc to nikola.schrenk@bccn-berlin.de)
Prof. Dr. B. Lindner
Humboldt-Universität zu Berlin
Bernstein Center for Computational Neuroscience
Institut für Physik
Sitz: Philippstr. 13, Haus 2
10115 Berlin
Postanschrift: Unter den Linden 6
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