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Regensburg 2010 – wissenschaftliches Programm

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SOE: Fachverband Physik sozio-ökonomischer Systeme

SOE 13: Networks: From Topology to Dynamics I (with BP, DY)

SOE 13.9: Vortrag

Mittwoch, 24. März 2010, 12:30–12:45, H44

Spreading Synchrony in Neural Networks with Non-Additive Interactions. — •Sven Jahnke1,2,3, Raoul-Martin Memmesheimer4, and Marc Timme1,2,31Network Dynamics Group, Max-Planck-Institute for Dynamics & Self-Organization, Germany — 2Bernstein Center for Computational Neuroscience, Germany — 3Georg-August-University, Göttingen, Germany — 4Center for Brain Science, Faculty of Arts and Sciences, Harvard University, USA

Recent neuro-physiological experiments [1] revealed that the response of cortical neurons to simultaneous pre-synaptic stimulation may be supra-additively enhanced. This enhancement is due to active nonlinear waves on the dendrite of a neuron (dendritic spikes) and offers a mechanism to synchronize neural spiking activity. Here we study the impact of nonlinear coupling on the dynamics of large neural circuits provide evidence that nonlinear dendritic enhancement is capable of inducing propagation of synchrony [2]. This yields the possibilty to generate patterns of precisely timed spiking activity, as observed in several neuro-physiological experiments. Our results indicate that and explains why densely connected feed-forward anatomy, as so far assumed in model studies [3], is not required for synchrony propagation but much more sparser connectivity is sufficient.

[1] Polsky, A., Mel, BW. and Schiller, J., Nature Neurosci. 7 (2004).

[2] Memmesheimer, RM. and Timme, M., Frontiers Comput. Neurosci., doi: 10.3389/conf.neuro.10.2008.01.009 (2008).

[3] Diesmann, M., Gewaltig, MO and Aertsen, A., Nature 402 (1999); Kumar, A., Rotter, S., and Aertsen, A., J.Neurosci. 28 (2007).

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