Abstract
We study the relationship between structure and activity in a system of synfire chains with random couplings. Ongoing activity is regulated by noise feedback, which, due to variability in the strengths of chains or couplings, creates an activity-dependent family of effective digraphs. We find that the distribution of activity across chains is well-correlated with the activity level at which they are recruited into the giant out component.
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Trengove, C., van Leeuwen, C., Diesmann, M. (2013). Complex Network Topology and Dynamics in Networks Supporting Precisely-Timed Activity Patterns. In: Yamaguchi, Y. (eds) Advances in Cognitive Neurodynamics (III). Springer, Dordrecht. https://doi.org/10.1007/978-94-007-4792-0_43
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DOI: https://doi.org/10.1007/978-94-007-4792-0_43
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