Power-law scaling of synchronization robustly reproduced in the hippocampal CA3 slice culture model with small-world topology

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Abstract

The hippocampal CA3 is a recurrent network included small-world topology. The percentage of co-active neurons in CA3 slice cultures is approximated by power-law. We show that the power-law scaling of synchronization is reproduced in the CA3 slice culture model where synaptic weights are log-normally distributed and balanced excitation/inhibition regardless of network topologies. However, small-world topology improves the robustness of the reproduction of the power-law scaling in the culture model. Power-law scaling is known as a sign of optimization of a network for information processing. These results suggest that CA3 may be robustly optimized for information processing by excitation/inhibition balance, log-normally distributed synaptic weights and small-world topology. © 2012 Springer-Verlag.

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Samura, T., Sato, Y. D., Ikegaya, Y., Hayashi, H., & Aihara, T. (2012). Power-law scaling of synchronization robustly reproduced in the hippocampal CA3 slice culture model with small-world topology. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7664 LNCS, pp. 152–159). https://doi.org/10.1007/978-3-642-34481-7_19

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