Berlin 2005 – wissenschaftliches Programm
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SYBN: Biological and Social Networks
SYBN 2: Biologische und Soziale Netzwerke II
SYBN 2.2: Vortrag
Montag, 7. März 2005, 12:20–12:40, TU HE101
Network Topology Induces Speed Limits to Coordinating Spikes — An Approach Using Random Matrix Theory — •Marc Timme, Fred Wolf, and Theo Geisel — Max-Planck-Institut für Strömungsforschung, 37073 Göttingen, Germany
When a neural network processes information,
a number of specific neurons need to coordinate their activity, e.g.
synchronize their spikes. Given that neurons are typically interconnected
to a large network of complicated topology the question arises: How
fast can neurons in such a network coordinate their spikes?
Here we analyze the dynamics of large random networks of integrate-and-fire neurons. In
such networks, a balanced state of irregular activity coexists with
a regular synchronous state [1]. Using a random matrix approach, introduced
by Wigner in the 1950s to characterize energy spectra of atomic nuclei,
we predict the characteristic time of synchronization
in dependence of neuron and network properties [2]. We find that the speed
of synchronization is limited by the network topology and remains
finite, even if the coupling strengths between neurons become infinite.
[1] M. Timme et al., Phys. Rev. Lett., 89, 258701 (2002).
[2] M. Timme et al., Phys. Rev. Lett., 92, 074101 (2004).