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. 2014 Dec 3;9(12):e114237. doi: 10.1371/journal.pone.0114237

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© 2014 Sadeh, Rotter

This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.

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The figure layout is similar to Fig. 1 (panel (E) not included), shown are networks with stronger recurrent couplings. In (A), the recurrent coupling is increased by doubling the connection density; in (B), this is further enhanced by doubling all recurrent weights. The parameters of network simulations are: (A) , , , , , , , and (B) , , , , , , . The predicted distributions are computed by considering (see Fig. 3).

Inline graphic — The figure layout is similar to Fig. 1 (panel (E) not included), shown are networks with stronger recurrent couplings. In (A), the recurrent coupling is increased by doubling the connection density; in (B), this is further enhanced by doubling all recurrent weights. The parameters of network simulations are: (A) , , , , , , , and (B) , , , , , , . The predicted distributions are computed by considering (see Fig. 3).