Raoul-Martin's page

My research projects address the microscopic, precise spiking dynamics in neural networks, the level of mesoscopic collective dynamics as well as emergent large-scale phenomena such as control and learning of behavior. The long-term aim is a theoretical understanding of the complex dynamics of neural systems. For this goal, it is essential to join strict mathematical approaches and perspectives from neurophysiology and neurobiology and to apply and to further develop methods from computer science and theoretical physics.

I studied theoretical physics at the universities of Kaiserslautern, Munich and Jena, and received my diploma with a thesis in gravitational theory from the university of Jena in 2004. From 2004 to 2008, I conducted research at the Max Planck Institute for Dynamics and Self-Organization in Göttingen, first as PhD student then as postdoctoral researcher in the group of Prof. Marc Timme and in the department of Prof. Theo Geisel. Since 2008, I have been an independent Swartz fellow at Harvard Unversity working together with Prof. Haim Sompolinsky.

Dr. Raoul-Martin Memmesheimer
- Swartz Fellow -
Center for Brain Science
Harvard University
52 Oxford Street, Room 245
Cambridge, MA 02138, USA
rmmemm at fas . harvard . edu

S. Jahnke, R.-M. Memmesheimer and M. Timme (2009).
How Chaotic is the Balanced State?
Front. Comp. Neurosci., to appear.

R.-M. Memmesheimer and M. Timme (2009).
Synchrony and precise timing in complex neural networks
in Handbook on Biological Networks,
eds. Y. Moreno, V. Latora, and S. Boccaletti, to appear.

S. Jahnke, R.-M. Memmesheimer, and M. Timme (2008).
Stable Irregular Dynamics in Complex Neural Networks
Phys. Rev. Lett. 100:048102.

R.-M. Memmesheimer (2007).
Precise Spike Timing in Complex Neural Networks
Doctor of Science Thesis, Göttingen University.

R.-M. Memmesheimer and M. Timme (2006).
Designing complex networks
Physica D 224:182-201.

R.-M. Memmesheimer and M. Timme (2006).
Designing the Dynamics of Spiking Neural Networks
Phys. Rev. Lett. 97:188101.

R.-M. Memmesheimer and G. Schäfer (2005).
Third post-Newtonian constrained canonical dynamics for binary point masses in harmonic coordinates
Phys. Rev. D 71:044021.

R.-M. Memmesheimer, A. Gopakumar, and G. Schäfer (2004).
Third post-Newtonian accurate generalized quasi-Keplerian parametrization for compact binaries in eccentric orbits
Phys. Rev. D 70:104011.


		Research - Raoul-Martin Memmesheimer
		My research projects address the microscopic, precise spiking dynamics in neural networks, the level of mesoscopic collective dynamics as well as emergent large-scale phenomena such as control and learning of behavior. The long-term aim is a theoretical understanding of the complex dynamics of neural systems. For this goal, it is essential to join strict mathematical approaches and perspectives from neurophysiology and neurobiology and to apply and to further develop methods from computer science and theoretical physics. I studied theoretical physics at the universities of Kaiserslautern, Munich and Jena, and received my diploma with a thesis in gravitational theory from the university of Jena in 2004. From 2004 to 2008, I conducted research at the Max Planck Institute for Dynamics and Self-Organization in Göttingen, first as PhD student then as postdoctoral researcher in the group of Prof. Marc Timme and in the department of Prof. Theo Geisel. Since 2008, I have been an independent Swartz fellow at Harvard Unversity working together with Prof. Haim Sompolinsky.


		Address
		Dr. Raoul-Martin Memmesheimer - Swartz Fellow - Center for Brain Science Harvard University 52 Oxford Street, Room 245 Cambridge, MA 02138, USA rmmemm at fas . harvard . edu


		Publications
		S. Jahnke, R.-M. Memmesheimer and M. Timme (2009). How Chaotic is the Balanced State? Front. Comp. Neurosci., to appear. R.-M. Memmesheimer and M. Timme (2009). Synchrony and precise timing in complex neural networks in Handbook on Biological Networks, eds. Y. Moreno, V. Latora, and S. Boccaletti, to appear. S. Jahnke, R.-M. Memmesheimer, and M. Timme (2008). Stable Irregular Dynamics in Complex Neural Networks Phys. Rev. Lett. 100:048102. R.-M. Memmesheimer (2007). Precise Spike Timing in Complex Neural Networks Doctor of Science Thesis, Göttingen University. R.-M. Memmesheimer and M. Timme (2006). Designing complex networks Physica D 224:182-201. R.-M. Memmesheimer and M. Timme (2006). Designing the Dynamics of Spiking Neural Networks Phys. Rev. Lett. 97:188101. R.-M. Memmesheimer and G. Schäfer (2005). Third post-Newtonian constrained canonical dynamics for binary point masses in harmonic coordinates Phys. Rev. D 71:044021. R.-M. Memmesheimer, A. Gopakumar, and G. Schäfer (2004). Third post-Newtonian accurate generalized quasi-Keplerian parametrization for compact binaries in eccentric orbits Phys. Rev. D 70:104011.