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- W3136100976 abstract "Abstract Inspired by heterogeneity in biological neural networks, we explore a heterogeneous network consisting of receipt, transmission and computation layers. It reconciles the dilemma that the data analysis scheme for empirical records yields non-power laws when applied to microscopic simulation of critical neural dynamics. Detailed analysis shows that the reconciliation is due to synchronization effect of the feedforward connectivity. The network favours avalanches with denser activity in the first half of life, and the result is consistent with the experimental observation. This heterogeneous structure facilitates robust criticality against external stimuli, which implies the inappropriateness of interpreting the subcritcality signature as an indication of subcrtical dynamics. These results propose the network heterogeneity as an essential piece for understanding the brain criticality." @default.
- W3136100976 created "2021-03-29" @default.
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- W3136100976 creator A5052062095 @default.
- W3136100976 date "2021-03-12" @default.
- W3136100976 modified "2023-09-27" @default.
- W3136100976 title "Reconciliation of theoretical and empirical brain criticality via network heterogeneity" @default.
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- W3136100976 doi "https://doi.org/10.1101/2021.03.11.435016" @default.
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