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DY: Dynamik und Statistische Physik

DY 22: Networks

DY 22.6: Vortrag

Samstag, 5. März 2005, 12:45–13:00, TU H2032

Arbitrarily Long Spike Patterns in Heterogenous Neural Networks — •Raoul-Martin Memmesheimer, Marc Timme, and Theo Geisel — Max-Planck-Institut für Strömungsforschung, D-37073 Göttingen

Patterns of precisely timed spikes are believed to be functional correlates of stimuli and as such considered key elements of brain computation [1]. A central question of theoretical neuroscience is thus how spike patterns can emerge in the dynamics of neural networks. Here we show that prescribed periodic spike patterns of arbitrary length can be stored as the attractors of heterogenous networks of neural oscillators with delayed inhibitory interactions [2, 3], generalizing [4]. We analyze the impact of specific coupling heterogeneity on the precise timings of individual spikes.
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